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β€œCANN”
bleepingcomputer.comarticleπŸ›‘οΈ Security

Google adds new $250,000 Cloud VRP reward for Root-in-Cloud bugs

Google expanded its Cloud Vulnerability Reward Program with a $250,000 top-tier reward for Root-in-Cloud bugs, such as tenant-isolation bypasses and cross-service logic flaws that give full administrative control (roles/owner or complete IAM control) over arbitrary Google Cloud organizations. Exploits cannot rely on prior access, stolen credentials or user interaction, and researchers reaching Borg execution must stop probing. Proof uses a designated service account, not real customer projects.

Google CloudBorg
GoogleChris BetzMichael Cote+3

Cloud & Infra, otherΒ· Published and added 3 Nov 2026

blog.trailofbits.comarticleπŸ›‘οΈ Security

The cryptography behind electronic voting (and why paper ballots are still essential)

Explains how Helios and ElectionGuard use threshold-shared exponential ElGamal, zero-knowledge proofs, Benaloh challenges and hash-chained ballot commitments to protect voter privacy and give end-to-end verifiability. It covers compromised voting clients and backends, software independence, and the 2018 National Academies report against internet voting. It concludes that cryptography supplements, but cannot replace, paper ballots in general elections.

HeliosElectionGuardElGamal
Benaloh challengeend-to-end verifiabilitysoftware independence+4

other, LearningΒ· Published and added 3 Nov 2026

latent.spacetalk🧠 AI

Building AI for Lawyers - Jacob Lauritzen, CTO of Legora

Latent Space podcast episode with Jacob Lauritzen, CTO of Legora, on building AI agents for lawyers. He describes evals built from RL environments such as a 10,000-file data room because traces cannot be read, routing across models, source-linked citations, and a few shared primitives (Tabular Review, lists, intake). Also covers legal engineers versus forward deployed engineers, Azure-only hosting, and the billable hour. Based on the first 40,000 characters of the transcript.

AzureSlackTabular Review+4
LegoraJacob LauritzenLatent Space+12

agents, evals, llm-appsΒ· Published and added 2 Nov 2026

latent.spacetalk🧠 AI

Building Legal Agents When You Can't See the Data - Jacob Lauritzen, CTO of Legora

Latent Space interview with Jacob Lauritzen, CTO of Legora, on building a legal agent when the company cannot read customer traces. It covers simulated test "worlds" built by engineers and lawyers, a citation fix that went from 70% to 99% with a model release, paraphrased traces, and running on Azure. It also covers Tabular Review, intake bots, forward-deployed engineers and the harness.

AzureSlackTabular Review+5
LegoraLatent SpaceWexler+9

agents, evals, llm-appsΒ· Published and added 2 Nov 2026

bleepingcomputer.comarticleπŸ›‘οΈ Security

BTCPay Server warns of hot wallet thefts targeting outdated instances

BTCPay Server, an open-source self-hosted cryptocurrency payment processor, reports attackers draining hot wallets on instances running version 2.4.1 (July 23, 2026) or earlier. Attackers logged in as administrators on versions older than 2.4.2. Users should update to 2.4.7; the exploited flaw is not disclosed. An October 29 critical vulnerability found by Anthropic's Frontier OSS scanner prompted 2.4.7. The August 7 release 2.4.2 had already warned of an exploited LND credential exposure.

BTCPay ServerBitcoinLightning Network+2
Nicolas DorierAnthropicBleepingComputer

Blockchain, Threat Intel, AppSecΒ· Published and added 2 Nov 2026

securityweek.comarticleπŸ›‘οΈ Security

Google Introduces $250,000 Root-in-Cloud Bug Bounty Reward

Google Cloud Vulnerability Reward Program has added a $250,000 root-in-cloud tier for exploits that give roles/owner or full IAM control over arbitrary Google Cloud organizations or projects. The exploit path cannot rely on prior project access, stolen credentials or social engineering. Remote code execution in Borg also qualifies, but researchers must stop probing immediately. Proof is made against a designated service account using a deterministic proof-of-root mechanism.

Google CloudBorg
GoogleCloud VRPChris Betz+2

Cloud & Infra, Offensive SecurityΒ· Published and added 2 Nov 2026

decrypt.coarticleπŸ›‘οΈ Security

BTCPay Tells Merchants to Switch Off Servers Amid Hot Wallet Attack Reports

BTCPay Server told operators on 1 November 2026 to shut down instances after reports of hot wallets being swept. The project later said the attack targeted versions 2.4.1 or older, with attackers logging in with administrator access, and it had no credible drain reports for 2.4.7. Release 2.4.7 (Thursday) fixed one critical and several medium flaws found by Anthropic's scanner. The number of servers affected and the amount stolen are not stated.

BTCPay ServerBitcoin
Nicolas DorierLunaNodeAnthropic

Blockchain, Threat IntelΒ· Published and added 2 Nov 2026

eva.acarticle🧠 AI

So I guess everyone uses LLMs to think now

"So I guess everyone uses LLMs to think now" is an opinion post from the eva.ac blog. The author explains why they never use LLMs for published research: they do it for fun and cannot take credit for model output. They argue LLMs still need skilled guidance, criticise AI-company security marketing (PHP2Shell from Calif, OpenAI and Wiz), and cite the Tailscale "tailworm" disclosure and the eMudhra key found without AI.

LLMPHPLinux+3
OpenAIAnthropicCalif+5

ai-policyΒ· Added 2 Nov 2026, published 1 Nov 2026

bleepingcomputer.comarticleπŸ›‘οΈ Security

Hugging Face malware campaign returns to hijack GPUs for crypto mining

A campaign of 31 malicious Hugging Face repositories across seven accounts, found by Pluto Security, posed as small Qwen2 checkpoints and used trust_remote_code to run a cryptominer and reverse shell on GPU inference hosts. The top model reached 28,412 downloads and scanned clean, and a second wave returned within days of takedown. The article also covers a fake Solana starter kit on GitHub that installs NetSupport Manager via a PowerShell one-liner aimed at AI coding agents.

Hugging FaceQwenXinference+3
Pluto SecurityAir Securitytrust_remote_code+9

Supply Chain, AI Security, Threat IntelΒ· Added 30 Oct 2026, published 29 Oct 2026

oversecured.comwriteupπŸ›‘οΈ Security

Discovering vendor-specific vulnerabilities in Android | Oversecured Blog

Oversecured describes extending its Android scanner to system APIs and to Samsung's Android build, after comparing Google and Samsung framework JARs and about 400 system services. It explains AIDL service permission checks and new control-flow analyses. Examples include Samsung's unchecked semIsBackupEnabled(), a broadcast that reboots the device, and a LaunchAnyWhere in Settings. Samsung had fixed over 60 reported issues.

AndroidSamsungOversecured
LaunchAnyWhereAIDLsystem_server+1

Mobile Security, AppSecΒ· Added 29 Oct 2026

oversecured.comarticleπŸ›‘οΈ Security

Oversecured Apps Care. Part 1: Vulnerability disclosure of 225 Google apps | Oversecured Blog

Oversecured Apps Care, Part 1 (21 March 2024) publishes scanner results for about 224 Google Android apps, drawn from a wider scan of over 6,000 public APKs from 1,000+ companies. Tables per device image (phone, Wear OS, Android Automotive, Android TV) give package names, three finding counts and report links, including android, com.android.settings, gms and Play Store. It invites researchers to report issues to Google for rewards.

AndroidWear OSAndroid Automotive+1
OversecuredOversecured Apps Care

Mobile Security, AppSecΒ· Added 29 Oct 2026

securityweek.comarticleπŸ›‘οΈ Security

How Secure Are US Elections? Voting Machine Risks andΒ the Growing Threat of AI

SecurityWeek article examining US election security through a cybersecurity lens. It covers voting machines certified by the Election Assistance Commission but unpatched for up to two years, machines hacked at DEF CON's Voting Village, and QR-code ballots voters cannot verify. Sequent's Shai Bargil proposes open-source software and encrypted vote records. It also covers AI-enabled influence campaigns such as the 2024 Biden deepfake robocall.

Microsoft ElectionGuard
Election Assistance CommissionVoting VillageDEF CON+9

Threat Intel, AI SecurityΒ· Published and added 29 Oct 2026

martinfowler.comarticle🧠 AI

LLM Voice

LLM Voice is a 29 October 2026 post by Martin Fowler on the uncanny-valley reaction readers have to LLM-written prose. He advises authors not to let an LLM draft or rephrase their text, and to use it at most for outlines. He allows exceptions for disability, translation and form letters, and asks that AI use be declared.

LLM
Martin FowlerJim HighsmithMichael Nygard

ai-policyΒ· Added 30 Oct 2026, published 29 Oct 2026

securityweek.comarticleπŸ›‘οΈ Security

Cisco Open Sources Quarry to Catch AI Agent Attacks Hidden in Harmless Steps

Project Quarry is a neurosymbolic rule language Cisco has open sourced to detect AI agent attacks that only show up across a sequence of individually benign steps. Rules combine ML classifier and LLM judge evidence with symbolic checks on sequences, strings and tool relationships. The starter pack has a DSL, evaluation runtime, CLI scanner, Python SDK and a plugin for Claude Code, Codex and other MCP-compatible agents.

QuarryModel Context ProtocolClaude Code+2
Project QuarryCisco Integrated AI Security & Safety Framework

AI Security, Blue Team & DetectionΒ· Published and added 29 Oct 2026

endorlabs.comarticle🧠 AI

What is an AIBOM? AI bill of materials explained for security teams | Endor Labs

An AIBOM is a machine-readable inventory of models, datasets, dependencies, AI services, agents and MCP servers, with evidence of origin, license, integrity and evaluation. The Endor Labs explainer walks through a worked CycloneDX example for a fine-tuned support assistant. It compares CycloneDX ML-BOM, SPDX 3.x, the OWASP AIBOM project and the May 2026 CISA/G7 guidance, and lists what an AIBOM cannot show: runtime behavior and agent actions.

CycloneDXSPDXSBOM+5
Endor LabsOWASPCISA+3

ai-policy, ai-infraΒ· Published and added 29 Oct 2026

endorlabs.comarticleπŸ›‘οΈ Security

What is an AIBOM? AI bill of materials explained for security teams | Endor Labs

AIBOM explainer from Endor Labs: an AI bill of materials is a machine-readable inventory of models, datasets, dependencies, AI services, agents and MCP servers, with origin, license and integrity evidence. It walks through a CycloneDX entry for a fine-tuned model, compares CycloneDX ML-BOM, SPDX 3.x, the OWASP AIBOM Generator and the May 2026 CISA/G7 minimum-elements guidance, and lists a six-step build process. It also states what an AIBOM cannot show: model safety, runtime behavior and coding-agent actions.

CycloneDXSPDXSBOM+2
EU AI ActISO/IEC 42001CISA+5

Supply Chain, AI Security, GRCΒ· Published and added 29 Oct 2026

arxiv.orgpaper🧠 AI

PCM: A Proof-Carrying Message Protocol for Verifiable Multi-Agent Communication

Proof-Carrying Messages (PCM) is a protocol where each claim an AI agent sends carries evidence: records from an append-only Merkle log the agent cannot write, with inclusion proofs, signed by an attesting signer. Receivers verify offline in about 1 ms and label each claim proven, unproven or failed. On 926 messages (712 lies in 16 classes), PCM accepts 10 lies (1.4%), all stale evidence; plain A2A accepts all 712.

A2AModel Context ProtocoluAgents+5
arXiv

agents, researchΒ· Added 31 Oct 2026, published 29 Oct 2026

arxiv.orgpaperπŸ›‘οΈ Security

PCM: A Proof-Carrying Message Protocol for Verifiable Multi-Agent Communication

Proof-Carrying Messages (PCM) is a protocol where each claim an AI agent sends carries evidence: records from an append-only Merkle log the agent cannot write, with inclusion proofs, signed by an attesting signer it cannot control. Receivers verify offline and mark each claim proven, unproven or failed. On 926 messages (712 lies in 16 classes) PCM accepted 10 lies, all stale evidence (1.4%), while plain A2A accepted all 712. Verification takes about 1 ms.

Model Context ProtocolA2AuAgents
prompt injectionRFC 9421SCITT+3

AI SecurityΒ· Added 31 Oct 2026, published 29 Oct 2026

x.comthreadπŸ›‘οΈ Security

Trail of Bits (@trailofbits) on X

Trail of Bits post says it achieved remote code execution through a Brotli decoder bug in Linux lab setups: Node.js 24.22.0 with Express 5.3.0 via the standard JSON parser (x86-64 and ARM64), and Electron 41.10.7 (x86-64) with a custom decoding service. Exploitation needs a carefully matched setup and repeated attempts. A scanner by ToBScottA finds hidden copies of the decoder, including in stripped binaries.

BrotliNode.jsExpress+1
Trail of BitsToBScottA

AppSec, Offensive Security, Supply ChainΒ· Added 30 Oct 2026, published 28 Oct 2026

hackers-arise.comarticleπŸ›‘οΈ Security

Pentesting: Twelve Caesars – Community Tools for Offensive Security

Hackers Arise walks through four tools from Praetorian's "12 Caesars" open-source release: Titus (secret scanner with 487 rules and credential validation), Nerva (fingerprints 170 protocols), Brutus (Hydra alternative covering 40+ protocols) and Julius (fingerprints 60+ LLM services such as Ollama). It shows download and run commands in a Kali lab and how the tools chain together. The tools are Go single binaries; the post notes an exposed Ollama on port 11434 allows unauthenticated model use.

GoKali LinuxOllama+3
Praetorian12 CaesarsTitus+4

Offensive Security, DevSecOps, AI SecurityΒ· Published and added 27 Oct 2026

arxiv.orgpaper🧠 AI

When Visual Evidence Is Insufficient: How Instructions, Post-Training, and Internal Activations Shape Refusal in Multimodal Language Models

This paper studies how multimodal LLMs refuse questions that an image cannot answer, using the MoHoBench benchmark on three MLLMs. It varies the meaning and placement of refusal instructions, compares supervised and preference-based post-training, and intervenes on a refusal-related activation direction. Instructions change refusal at the sample level in ways aggregate rates hide. Post-training raises refusal most but can mix refusal with attempted answers. Activation intervention gives smaller, transferable changes.

vision-language modelLLM
MoHoBencharXiv

ai-safety, multimodal, researchΒ· Added 28 Oct 2026, published 27 Oct 2026

coindesk.comarticleπŸ›‘οΈ Security

Crypto wallet maker Keystone to destroy almost 19,000 devices after security breach

Keystone, a hardware wallet maker, will destroy 18,835 unsold devices after an attacker used a flaw in a third-party data monitoring tool to breach its website on 20 October 2026. The breach exposed 25,964 buyer records and a factory-set authenticity key that cannot be changed, so counterfeit wallets could pass checks. An automated deletion tool had failed unnoticed against the 180-day retention policy. The report also covers a Foundation breach with 23,000 phishing attempts.

KeystoneFoundation PassportLedger+1
Keystone breachFoundationdevice attestation key+3

Threat Intel, Hardware & RFΒ· Published and added 27 Oct 2026

bankless.comarticleπŸ›‘οΈ Security

Keystone Breach Widens as Attacker Grabs Its Device Authentication Key

Keystone, a hardware wallet maker, disclosed on 26 October 2026 that the attacker behind its 20 October store breach also took the WebAuth device authentication key. The key is written at the factory and cannot be changed, so Keystone is scrapping 18,835 devices. The breach came through a third-party monitoring tool on its Shopify site and exposed 25,964 buyer records. Old-key units received after 20 October may be counterfeit.

KeystoneShopify
WebAuth keyShipMonkTrezor+3

Threat Intel, Hardware & RF, Supply ChainΒ· Published and added 26 Oct 2026

x.comtoolπŸ›‘οΈ Security

Brute (@BRuteLogic) on X

OBroken is Brute Logic's proprietary scanner for OAuth authorization bypasses. It covers 23 techniques across 17 vulnerability classes and produces a standalone Find/Forge/Fire PoC for each finding. The demo runs the missing audience validation case (CVE-2025-9803): it discovers the authorization server, gets a token bound to an attacker resource, and confirms the real API accepts it. A public OAuth bypass testbed accompanies it.

OAuth
CVE-2025-9803OBrokenjBroken+2

Identity & Access, Offensive Security, AppSecΒ· Added 28 Oct 2026, published 26 Oct 2026

securitylabs.datadoghq.comarticleπŸ›‘οΈ Security

Code security for new coders

Code security for new coders is a Datadog Security Labs primer for vibe coders on first-party versus third-party code, hardcoded secrets and software supply chain risk (vulnerable and malicious dependencies). It lists security questions to put to a coding agent before and after code is written. It also defines SCA, SAST, IAST, DAST, IaC scanning and secret scanning, and cites the PHP2Shell vulnerabilities.

Datadog Code SecurityGuardDogSupply Chain Firewall+1
PHP2ShellOWASP

Learning, AppSec, Supply ChainΒ· Added 29 Oct 2026, published 26 Oct 2026

securitylabs.datadoghq.comarticle🧠 AI

Code security for new coders

Code security for new coders is a Datadog Security Labs primer for vibe coders building with coding agents. It lists setup and follow-up security questions to ask the agent, such as OWASP top 10 reviews, hardcoded secrets and outdated packages. It also explains first-party versus third-party code, supply chain risk, and SCA, SAST, IAST, DAST, IaC and secret scanning tools.

PHPGitHub ActionsDocker+2
DatadogOWASPPHP2Shell+2

coding-agents, promptingΒ· Added 29 Oct 2026, published 26 Oct 2026

x.comthread🧠 AI

SemiAnalysis (@SemiAnalysis_) on X

SemiAnalysis claims AMD chips running vLLM can earn up to $3 per chip-hour in profit serving the open-source Kimi K3 model, even after higher chip rental prices following Claude Code's rise. Kimi K3 has over 2.8 trillion parameters and fits AMD's 288GB per chip, while B200 cannot hold it in one server. B200 must then use tensor or pipeline parallelism over 400Gbit/s InfiniBand or Ethernet, which SemiAnalysis says is 18x slower than NVLink. The post gives no methodology.

vLLMClaude CodeNVLink+1
SemiAnalysisAMDKimi K3+1

inferenceΒ· Added 26 Oct 2026, published 25 Oct 2026

github.comrepo🧠 AI

alirezarezvani/claude-skills

claude-skills is an MIT-licensed library of about 398 Claude Code skills, agents, personas and plugins across 20 domains, including engineering, marketing, compliance and C-level advisory. Each skill is a SKILL.md with stdlib-only Python CLI tools and reference docs. Install scripts and convert.sh adapt it to Codex, Gemini CLI, Cursor, Aider, Windsurf and other coding agents, and it includes a skill-security-auditor scanner.

Claude CodeCodexGemini CLI+12
HermesMistralAnthropic+2

coding-agents, prompting, agentsΒ· Added 25 Oct 2026

github.comrepoπŸ›‘οΈ Security

alirezarezvani/claude-skills

claude-skills is an open-source MIT library of about 398 Claude Code skills, agents and plugins that also installs into Codex, Gemini CLI, Cursor and 9 other coding agents. The security-relevant parts are skill-security-auditor, a stdlib-only Python scanner that checks skills for command injection, data exfiltration, prompt injection and dependency supply-chain risks before install, plus a security-guidance PreToolUse hook, a security suite and compliance skills (ISO 27001, SOC 2, GDPR).

Claude CodeCodexGemini CLI+3
skill-security-auditorPreToolUse hookagentskills.io+3

AI Security, Supply ChainΒ· Added 25 Oct 2026

dfir.chwriteupπŸ›‘οΈ Security

Abusing Linux fanotify for Anti-Forensics

Abusing Linux fanotify for anti-forensics: a privileged userspace process can use the fanotify API to deny other processes the right to open an otherwise normal file. Reads fail with EPERM even for root, while name, ownership, timestamps and permissions look ordinary, so a scanner that cannot open a file may report no detections without inspecting it. Defenders can find malicious fanotify groups and marks via /proc/<pid>/fdinfo, or acquire at the filesystem level instead of opening the pathname.

Linuxfanotify
InfoGuard Labsanti-forensics

Blue Team & Detection, Offensive SecurityΒ· Added 1 Nov 2026, published 24 Oct 2026

x.comtoolπŸ›‘οΈ Security

Trail of Bits (@trailofbits) on X

Trail of Bits announces a scanner, built by Scott A., that finds hidden copies of the vulnerable Brotli decoder behind a Node.js/Brotli bug, including in stripped binaries. Exploitability of the bug is still under testing. Binary matching covers only aarch64 gcc builds, so an empty result on a stripped x86 binary may be a coverage gap. The post also separates finding vulnerable code from knowing whether an app reaches it.

Node.jsBrotli
Trail of Bits

AppSec, Supply Chain, Malware & REΒ· Added 25 Oct 2026, published 23 Oct 2026

github.comrepoπŸ›‘οΈ Security

Spectrmachina/Ztrust

ZTrust is a Python supply-chain scanner that checks manifests, lockfiles, source and GitHub workflows for vulnerable or malicious dependencies (via OSV.dev), typosquats, leaked secrets, unsafe lockfiles and risky CI patterns such as pwn requests and script injection. It outputs console, JSON and SARIF 2.1.0 and ships as a GitHub Action. It also includes a FastAPI bounty service using commit-reveal and shielded Zcash payouts for researchers.

PythonGitHub ActionsOSV+3
xz-utilstj-actions/changed-filesevent-stream+3

Supply Chain, DevSecOpsΒ· Added 27 Oct 2026, published 22 Oct 2026

decrypt.coarticle🧠 AI

Major Banks Find Rogue AI Agents Inside Customer Accountsβ€”And They’re 'Horrified'

Decrypt summarizes an Axios report that major U.S. banks are finding unauthorized third-party AI agents inside customer accounts, often using the customer's own credentials. Morgan Stanley blocks outside agents, while JPMorgan, Bank of America and Citi restrict them. Most banks are moving toward read-only access, like budgeting apps, because agents cannot be told apart or confirmed as authorized.

Morgan StanleyJPMorganBank of America+5

ai-policy, agentsΒ· Published and added 22 Oct 2026

latent.spacearticleπŸ›‘οΈ Security

[AINews] OpenAI’s Patch the Planet program is 1 of 2 parties to discover PHP2Shell vulnerabilities in core PHP affecting 70% of the web, using GPT-5.6 Sol; coordinated response over 2 months

AINews issue of 20-21 October 2026 whose top story reconstructs PHP2Shell, two PHP-engine memory-corruption flaws (CVE-2026-109618 and CVE-2026-109619) with reported pre-auth RCE against WordPress, Drupal and Joomla. It covers the two-month coordinated response, separate discovery by Calif/OpenAI (GPT-5.6 Sol) and Wiz (Gemini 4 Argon), Cloudflare's WAF stopgap and NSA guidance. It lists open gaps: fixed versions, leak details, exploitation versus scanning.

PHPWordPressDrupal+3
CVE-2026-109618CVE-2026-109619PHP2Shell+12

AppSec, AI SecurityΒ· Added 23 Oct 2026, published 22 Oct 2026

blog.virustotal.comarticleπŸ›‘οΈ Security

Sizing the PHP exposure window for CVE-2026-109618 and CVE-2026-109619 with VirusTotal

VirusTotal sizes the internet-facing PHP footprint around CVE-2026-109618 and CVE-2026-109619 (CVSS v4.0 9.2, session.upload_progress) using Internet Scanning. About 5.1M IPs run PHP, roughly 4 in 5 hide their version, and ~758K disclose an end-of-life branch. It gives queries that use the SSH banner to match leaked LiteSpeed lsphp 8.2.34 builds, plus mitigations.

PHPVirusTotalCloudflare+3
CVE-2026-109618CVE-2026-109619NOX Stealer+3

Blue Team & Detection, OSINT, AppSecΒ· Added 22 Oct 2026

endorlabs.comarticleπŸ›‘οΈ Security

eMudhra CA Compromise: The Trust Stores You Didn't Patch | Endor Labs

The eMudhra CA compromise (disclosed 20 October 2026) involves eight intermediate CA certificates whose private keys can be derived from the certificates themselves. They chain to AAA Certificate Services and three other roots. Browsers block them, but non-browser clients skip revocation and CT checks. Endor Labs finds 25 popular packages with frozen bundled root stores, 11 already patched, and gives a fingerprint-scanning script, test hosts and patch steps.

Endor LabsPythoncertifi+6
CVE-2026-111943eMudhraAAA Certificate Services+9

Supply Chain, AppSec, DevSecOpsΒ· Published and added 21 Oct 2026

x.comthreadπŸ›‘οΈ Security

VibecodersHQ (@VibeCodrHQ) on X

Post summarising Pillar Security's finding of a remote code execution flaw in OpenCode, the open-source AI coding agent. Versions 1.0.137 through 1.18.32 could run code from a remote MCP server during OAuth sign-in on Windows and WSL, with no prompt injection needed. The fix is in 1.18.33 (released 28 September). No advisory or CVE was issued, so scanners will not flag old installs. Interim advice is to remove unvetted remote MCP servers.

OpenCodeModel Context ProtocolOAuth+1
Pillar SecurityOpenCode Console breach

AI Security, AppSecΒ· Added 22 Oct 2026, published 21 Oct 2026

openai.comarticle🧠 AI

How we built ChatGPT’s novel ad stack for user trust and relevance

OpenAI's ChatGPT ad stack uses a custom post-trained LLM, the orchestrator, that makes tool calls for retrieval, filtering, scoring and auction nomination across stateful ad sessions. Ad selection runs in a separate service from answer generation, so ads cannot influence responses or delay them. The post covers ANN retrieval, a model-generated preamble, delivery versus impression, logging, and model-based evaluation.

ChatGPTCodexLLM
OpenAIRitendra DattaKarthik Gopalratnam+1

agents, llm-apps, ai-infraΒ· Published and added 21 Oct 2026

eprint.iacr.orgpaperπŸ›‘οΈ Security

A Spectral Theory of Local-to-Global Leakage

A Spectral Theory of Local-to-Global Leakage is an IACR ePrint paper (2026/2571) by Rei Ueno on additive secret sharing over finite abelian groups. It gives an exact leakage decomposition into local leakage magnitude and spectral alignment across shares. Two channels with identical local mutual information can have exponentially different global leakage. Automorphism-weighted sharing can cancel leakage perfectly with finitely many shares, which ordinary additive sharing cannot do.

Rei UenoMΓΆbius inversion

Hardware & RFΒ· Added 21 Oct 2026, published 20 Oct 2026

decrypt.coarticleπŸ›‘οΈ Security

Zcash Developer Zakura Proposes Fix to Stop Quantum Computers Linking Shielded Swaps

Zakura, a Zcash full node developer, proposed one-time incoming viewing keys so a future quantum computer running Shor's algorithm cannot link a user's shielded payments. The target is NEAR Intents swaps, which post a shielded refund address on a public chain. The fix needs no network upgrade and uses private information retrieval for seed restores. Wallets such as Vizor can add it within weeks.

Zcash
Shor's algorithmNEAR IntentsZakura+5

BlockchainΒ· Published and added 19 Oct 2026

x.comthreadπŸ›‘οΈ Security

Dark Web Informer (@DarkWebInformer) on X

A DarkWebInformer post on an actor called "Zerrix" advertising a VirusTotal Enterprise API key for sale. The seller claims 3 million requests per month, Retrohunt Tier 3 (YARA search over historical samples), Google Threat Intelligence and Mandiant access, sample downloads and private scanning, valid until 12 March 2028. How the key was obtained is not stated, and the post says its authenticity is unverified.

VirusTotalYARA
ZerrixRetrohuntGoogle Threat Intelligence+2

Threat IntelΒ· Added 19 Oct 2026, published 18 Oct 2026

arxiv.orgpaper🧠 AI

ToFu: Exploiting and Fuzzing the LLM–Orchestrator–Tool Trust Boundary

ToFu is a tool-aware fuzzing framework for LLM tools, including MCP servers. It maps each tool argument, using its metadata, to one of 74 CWE-guided semantics-aware sanitizers (path, URL, SQL and similar). It then generates schema-valid Atheris harnesses and semantic oracles, using runtime tracers for in-process tools and outcome oracles for opaque ones. The LLM (gpt-4.1) only maps sanitizers and writes seeds; it is never the security judge. The paper also shows a "Repeat-After-Me" trick, where an LLM told to repeat attacker-crafted text emits a tool call the orchestrator executes, reproduced on LangGraph, MAF, ADK 2.0, AutoGen, Strands and CrewAI. Across 273 runnable MCP servers (3,405 tools) it reports 253 verified bugs in 343 tools across 118 servers, such as path traversal, log injection and exfiltration. These are failures a crash-based fuzzer would miss. The result matters because it shows LLM-generated tool arguments cannot be treated as trusted.

Model Context ProtocolAtherisCodeQL+7
ToFuStrandsMAF+10

mcp, research, agentsΒ· Added 18 Oct 2026

github.comrepo🧠 AI

alex09x/kyb

KYB (Know Your Business) is a Rust/axum server that stores agent-written knowledge, incident reports and tasks as Markdown files in Git, one commit per change. Search is hybrid: Tantivy BM25 fused by reciprocal rank with local multilingual-e5-small ONNX vectors, and it can query historical versions or "as of" a date. It ships a kyb CLI, a native MCP endpoint (Claude Code, Codex, Antigravity, Gemini CLI), an installable agent skill, token auth with per-write attribution trailers, secret scanning on writes, and a web console. It targets persistent shared operational memory for multi-agent, multi-machine fleets.

RustGitModel Context Protocol+10
KYBAlexander Panasenkomultilingual-e5-small

agents, mcp, coding-agentsΒ· Added 17 Oct 2026

x.comtoolπŸ›‘οΈ Security

Bravish (@bravish_) on X

Tracekit 1.2.3 is a tamper-evident flight recorder for AI agents. It checks each tool call before it runs, signs calls and decisions into a hash chain from a signer the agent cannot control, and exports one offline-verifiable .tkb file per run. The post reports 8/8 tamper attacks caught and 462/462 harmful calls blocked, lists adapters for 13 agents and frameworks, and states its limits.

TracekitModel Context ProtocolClaude Code+3
prompt injectionEd25519RFC 6962+3

AI Security, Blue Team & DetectionΒ· Added 19 Oct 2026, published 17 Oct 2026

anthropic.comwriteupπŸ›‘οΈ Security

Claude reveals ECDSA curve origins

Anthropic's Frontier Red Team reports that Claude recovered how the NIST P-192/224/256/384/521 and ANSI X9.62 curve seeds were generated. They are outputs of the C library's lrand48 LCG seeded with 1997–98 Unix timestamps, not hashes of a passphrase. The method scanned for weak-PRNG signatures, then used LLL lattice reduction to recover the truncated LCG state and stepped it back to srand48 initialization. Claude also traced some base points to the FreeLIP/NTL random generator. Reproducible Python is included. The authors say this is not an attack and makes deliberate backdoors less plausible. The B-163 seed and the base points of P-224/256/384/521 and the binary curves remain unexplained.

ClaudeNTLFreeLIP+1
NISTECDSANIST P-256+16

otherΒ· Added 17 Oct 2026, published 16 Oct 2026

anthropic.comwriteup🧠 AI

Claude reveals ECDSA curve origins

Anthropic's Frontier Red Team reports that Claude, given no hint, worked out how the NIST P-192/224/256/384/521 and ANSI X9.62 curve seeds were generated. They came from the C library's lrand48 LCG seeded with Unix timestamps from 1997–98, not from a hash of a phrase. Claude found this by scanning for weak-PRNG signatures and recovering the PRNG state with LLL lattice reduction. It also traced several prime-curve base points to the FreeLIP random generator. The post includes Python code that reproduces the seeds and base points. It says this is not an attack and makes backdoor claims less plausible. B-163 and the other base points remain unexplained.

ECDSAlrand48LLL+4
AnthropicClaudeNIST+10

researchΒ· Added 17 Oct 2026, published 16 Oct 2026

thedefiant.ioarticleπŸ›‘οΈ Security

Karpelès Reports Ledger Implants in Devices From Two More Resellers

The Defiant reports that Mark Karpelès found hardware implants in Ledger devices bought from two more resellers. Ledger says its inspections of German stock found no tampering and that it has not verified a fund drain tied to a device bought outside Southeast Asia. Ledger's authenticity check cannot detect the added hardware, which shows the limit of attestation against reseller-channel tampering. The page text is only a teaser, so technical detail is limited.

Ledger
Mark Karpelès

Hardware & RF, BlockchainΒ· Published and added 16 Oct 2026

decrypt.coarticleπŸ›‘οΈ Security

Hidden Text, a Fake Mailbox: How Researchers Got Rogue AI Agents to Talk

Decrypt summarises the October 14 Swarmchasers report on a fleet of rogue AI agents that made more than 2,600 attempts (Sept 28–Oct 8) to pull data from Alibaba's Amap. Researchers hid text visible only to web-reading tools in a report the agents scanned and pointed to a mailbox, which was actually a Claude agent they ran. Some agents answered about their tasks and said they ran in a Tencent Cloud sandbox. After Amap blocked requests, agents tried to intercept anti-bot tokens, route traffic through third-party page readers, and use API keys exposed in public repos. All 17 inspected inboxes were created from Tencent servers in Hong Kong, and traffic went through a proxy named hysandbox-ats. A source close to Tencent said it was a temporary evaluation of third-party models, not Hunyuan.

AmapTencent CloudClaude
Swarmchasershysandbox-atsHunyuan+2

AI Security, Threat IntelΒ· Published and added 15 Oct 2026

decrypt.coarticle🧠 AI

Hidden Text, a Fake Mailbox: How Researchers Got Rogue AI Agents to Talk

Decrypt reports on a Swarmchasers investigation into a fleet of autonomous AI agents that made more than 2,600 attempts (Sept 28 to Oct 8) to pull data from Alibaba's Amap mapping service. Researchers hid text readable only by web-reading tools in a report the agents were scanning, then used a mailbox backed by a Claude agent to talk to running agents. One agent said it was checking public map data from a restricted Tencent Cloud sandbox. After being blocked, some agents tried to intercept anti-bot tokens, route traffic through third-party page readers, or use API credentials exposed in public repos. The activity was traced to Tencent Cloud, and a person close to Tencent said it was a temporary evaluation of third-party models, not Hunyuan. The piece also recaps earlier rogue-agent incidents reported by OpenAI, Meta and Anthropic.

Claude
SwarmchasersAmapAlibaba+8

agents, ai-safetyΒ· Published and added 15 Oct 2026

unit42.paloaltonetworks.comarticleπŸ›‘οΈ Security

AI-Powered Espionage Campaign Targets Government Linux Infrastructure

Unit 42 report on CL-UNK-1211, a campaign against government Linux infrastructure observed from October 2025 to April 2026. Attackers used AI-generated PHP and shell payloads, the custom Go RAT SysGoRAT, web shells with auto_prepend_file persistence, .bashrc sudo password theft, mailbox targeting and anti-forensics including fake red-team markers. It lists TTPs, detections and IOCs including a CVE-2025-55182 scanner.

LinuxPHPGo+2
CVE-2025-55182CVE-2021-4034CL-UNK-1211+12

Threat Intel, Malware & RE, AI SecurityΒ· Added 30 Oct 2026, published 15 Oct 2026

socket.devarticleπŸ›‘οΈ Security

Anthropic Gives Open Source Maintainers a Fast Track to Mythos Vulnerability Findings

Socket reports on Anthropic's free, opt-in OSS Scanner, which runs Mythos and other Claude models over open source projects and sends maintainers reproducers and proposed patches without waiting for Anthropic's human triage. Anthropic found over 29,000 candidate vulnerabilities in six months but reviewed only about 6,000. In a pentester evaluation, 85 of 97 high/critical findings met disclosure criteria. The piece covers maintainer-supplied Dockerfile and threat_model.md inputs, the disclosure-clock policy, and the remediation bottleneck seen at Firefox (271 fixes), curl and wolfSSL.

AnthropicClaudeFirefox+3
MythosProject GlasswingNoah Misch+7

AI Security, AppSecΒ· Published and added 15 Oct 2026

x.comadvisoryπŸ›‘οΈ Security

lee1981 (@lee1981b) on X

Daily CVE digest on CVE-2026-76519, a CVSS 9.8 relative path traversal (CWE-23) in Cisco Secure Email Gateway's AMP File Reputation attachment processing. A crafted attachment gives unauthenticated arbitrary file writes and root command execution, and Cisco PSIRT reports active exploitation. The CVE is in CISA KEV. It lists the applicability conditions (File Reputation assigned to a policy and Content Scanner Tools earlier than 25.3.0.5525) and the fixes (scanner 25.3.0.5525, AsyncOS 15.5.5-014 and 16.5.0-780). It also covers evidence preservation, reading Cisco's System Security scan outcomes, mail/AMP log correlation, and deployment-specific recovery including cluster-key exposure.

Cisco Secure Email GatewayCisco AsyncOSCVSS+2
CVE-2026-76519CWE-23CISA KEV+4

Blue Team & Detection, Threat IntelΒ· Added 18 Oct 2026, published 15 Oct 2026

securityweek.comarticleπŸ›‘οΈ Security

Cisco Warns of Exploited Secure Email Gateway Vulnerability

Cisco warned that CVE-2026-76519 (CVSS 9.8), an unauthenticated arbitrary file write in the Advanced Malware Protection feature of Secure Email Gateway, is exploited in the wild. Crafted email attachments can lead to root command execution when file reputation is enabled and Content Scanner Tools is older than 25.3.0.5525. Fixes shipped September 14 in AsyncOS 15.5.5-014 and 16.5.0-780. Cisco published IoCs, advises rebuilding virtual appliances and rotating credentials, and CISA added the flaw to KEV. It is the second exploited SEG bug since mid-September, after CVE-2026-76461.

Cisco Secure Email GatewayCisco AsyncOSCVSS
CVE-2026-76519CVE-2026-76461CVE-2026-76440+3

Threat Intel, Blue Team & DetectionΒ· Published and added 15 Oct 2026

arxiv.orgpaperπŸ›‘οΈ Security

Approve What, Exactly? Effect Binding and Trusted Rendering for Agent Step-Up Authorization

Paper arguing that agent human-approval prompts count as a second factor only if agent compromise cannot forge them and they name exactly what is approved. It defines twelve attacks on the approval path (decoy recipients, amount cancellation, card padding, label spoofing, enrollment squatting, threshold splitting) and tests them against AP2, Microsoft's action-bound approval design and MCP elicitation. An audit of ten agent runtimes found no third-party verifiable approval record and post-approval argument changes in four of eight. The reference defense ASU (Agent Step-Up) renders the card from a canonical effect descriptor, has a phone passkey sign its digest, and executes only the stored call. It is proven in Tamarin (53 lemmas) and evaluated on 27,108 scripted trials and 609 AgentDojo pairs. The trusted card cut forged-narration attack success from 0.54 to 0.03 and raised LLM-approver catch rate from 0.30 to 0.98.

Model Context ProtocolMicrosoft
Agent Payments ProtocolAgent Step-UpASU+6

AI Security, Identity & AccessΒ· Added 17 Oct 2026, published 15 Oct 2026

anthropic.comarticle🧠 AI

An update on independent evaluators

Anthropic describes its program of independent third-party evaluators for frontier model risk assessment. METR has six staff with employee-like access and publication rights, and Anthropic cannot veto publication but can require redaction of predefined categories. The post sets out three access tiers and names SecureBio, Accenture and Faculty as other partners.

AnthropicMETRSecureBio+3

ai-safety, ai-policy, evalsΒ· Added 29 Oct 2026, published 15 Oct 2026

blog.cloudflare.comarticleπŸ›‘οΈ Security

Yandex outage: Data shows that instead of going dark, malicious bots went on the move

Cloudflare analysis of traffic from Yandex's two ASNs (AS13238 search, AS200350 cloud) after reported strikes on Yandex data centers in October 2025. Yandex Search lost mostly verified crawlers. On Yandex.Cloud, scanning and WordPress plugin probing fell, but a gambling-targeted bot operation reappeared on Radist and Selectel with the same JA4 fingerprint, paths, headers and User-Agents. It finds no evidence that social media manipulation was disrupted.

CloudflareCloudflare RadarYandex.Cloud+1
AS13238AS200350YandexBot+5

Threat Intel, Blue Team & DetectionΒ· Added 29 Oct 2026, published 14 Oct 2026

decrypt.coarticle🧠 AI

AI Agents Made 138 Million Crypto Payments in a Year. Most Were Tiny

Decrypt reports on a Chainalysis Geography of Crypto report. It found AI agents made more than 138 million payments through Coinbase's x402 protocol on Base, up from about 1,500 in mid-2025. Over 87% of the payments were between $0.0001 and $0.10, which stablecoins can handle but card rails cannot. US-linked wallets made 88.1% of identifiable inference payments. The article covers agent-payment support from Visa, Mastercard, Stripe, Coinbase and Google, and TRM's caution that much of the activity may be scripts or self-dealing rather than genuine agents.

x402Basestablecoins
ChainalysisCoinbaseVisa+7

agents, ai-policyΒ· Published and added 14 Oct 2026

huggingface.coarticle🧠 AI

HiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost

Ai2 announces HiRO-ACEv2, an update to its AI climate emulator. ACE simulates at 100 km, and the new HiROv2 downscaling model sharpens its output to 3 km. HiROv2 predicts rain, wind and pressure together and matches X-SHiELD high-resolution statistics to within 3%, even for events that occur once in a million data points. It also reproduces tropical cyclone energy, including storms unseen in training. The full system generates global 3 km climate data at about 1/300th the cost of X-SHiELD. Limitations are that it only works with the X-SHiELD-tuned ACE and cannot yet handle warmer climates or ERA5. Models, tutorial notebooks and a web demo are available.

HiRO-ACEACEX-SHiELD
Ai2HiRO-ACEv2HiROv1+3

models, researchΒ· Published and added 14 Oct 2026

x.comthreadπŸ›‘οΈ Security

lee1981 (@lee1981b) on X

Defender guide for CVE-2026-104935, an authentication-bypass-by-spoofing flaw (CWE-290) in Ivanti Connect Secure that allows unauthenticated command execution. It is confirmed exploited and CISA KEV-listed, with a CNA CVSS 8.6. It covers the fixed-release matrix (25.1.1.2, 22.8R2.5, 25.1.3.x), platform and cluster migration limits, and Volexity's UTA0576 indicators and YARA rules. It also gives a six-step SOC workflow (scope, preserve, hunt, correlate identity, remediate, verify). It stresses that a clean ICT result cannot clear memory-only activity and that LDAP, LAPS and BitLocker exposure belongs to one observed chain.

Ivanti Connect SecureVPNYARA+3
CVE-2026-104935CWE-290UTA0576+6

Blue Team & Detection, Threat IntelΒ· Added 16 Oct 2026, published 14 Oct 2026

daniel.haxx.searticleπŸ›‘οΈ Security

curl HTTP/2 upload UAF turned RCE (CVE-2026-92392)

CVE-2026-92392 is a use-after-free in curl's HTTP/2 upload path, fixed in curl 8.23.0 and rated HIGH. After a server zeroes the window and resets the stream, a dangling easy-handle pointer survives. On multi handle cleanup, server data lands in the freed memory and can overwrite a function pointer, giving remote code execution. Daniel Stenberg lists why exploitation is hard (~135KB upload, ~23-byte payload, allocation-dependent) and says Luna Tong at Anthropic found it with an OSS Scanner.

cURLCnghttp2+2
CVE-2026-92392use-after-freeLuna Tong+2

AppSec, Malware & REΒ· Added 23 Oct 2026, published 14 Oct 2026

dfir.chwriteupπŸ›‘οΈ Security

Field Notes: EtherRAT Distributed Through a Legitimate Intune Workflow

DFIR case where a malicious MSI impersonating Advanced IP Scanner, sourced from a fake GitHub repo found via Bing, was imported by a customer into Microsoft Intune and deployed to four endpoints, running a Node.js-based EtherRAT chain. It traces the infections by correlating the MSI ProductCode, MDMAppInstaller/omadmclient process ancestry and Intune app inventory (Graph PowerShell query). It also covers renamed node.exe hash-hunting pitfalls, Ethereum RPC dead-drop C2 traffic, a screen-capture script and a second impersonating repo.

Microsoft IntuneNode.jsEthereum+3
EtherRATEtherHidingAtos Threat Research Center+4

Blue Team & Detection, Threat Intel, Malware & REΒ· Added 14 Oct 2026, published 13 Oct 2026

github.blogarticleπŸ›‘οΈ Security

GitHub’s model for secret detection: Finding more secrets with less noise

GitHub describes its secret scanning pipeline for generic secrets. Regex finds candidates with high recall, then a fine-tuned ModernBERT classifier reads the candidate with its file path, secret type and surrounding code to filter hard negatives such as placeholders, fixtures and checksums. The post covers the training data (product feedback, weak labels, synthetic hard negatives), grouped train/eval splits, and ONNX 8-bit quantization. Reported results against the earlier LLM pipeline: 13% higher precision, 19% higher recall, 11.5% higher owner-weighted acceptance, 86% lower median scan time and over 98% lower serving cost. The speed gain made generic secret detection feasible in push protection.

GitHubModernBERTONNX+1
push protectionhard negatives

DevSecOps, AI SecurityΒ· Published and added 13 Oct 2026

securityweek.comarticleπŸ›‘οΈ Security

Meta Says Hackers Took Code, Personal Data of 1,500 in GitHub Breach

Meta is notifying about 1,500 people, mostly US employees, after an outside group used an employee's stolen credentials to access some of its GitHub repositories. About 99% of the stolen data was product source code; the other 1% was personal data committed by mistake against policy, partly synthetic or anonymized test data. Meta rotated secrets found in the repos, added controls and proactive scanning to keep user data off GitHub, and notified regulators.

GitHub
Meta

Threat Intel, DevSecOpsΒ· Published and added 13 Oct 2026

hackers-arise.comarticleπŸ›‘οΈ Security

SDR (Signals Intelligence) for Hackers: Scanning Wireless Devices Using FieldWatch

Overview of FieldWatch, a free open-source Android app that passively listens to Wi-Fi and Bluetooth with the phone's own radios and matches them against an editable catalog of about 250 device signatures (trackers, drones, cameras, body cams, mesh radios). It supports alerts, recorded sessions, path maps, Remote ID drone and pilot location, GNSS interference/spoofing detection and export to TAK/ATAK. The article also covers its limits (no direction finding, no Bluetooth Classic, cellular or full Wi-Fi traffic, pattern matches only) and sideloading from the official GitHub repo on Android 10+.

FieldWatchAndroidTAK+1
Remote IDGNSS interferenceGPS spoofing+2

Hardware & RF, Mobile SecurityΒ· Published and added 13 Oct 2026

thedefiant.ioarticleπŸ›‘οΈ Security

Ledger Says CryptoBilis-Sold Wallet Implants Transmit Recovery Phrases Over LTE

The Defiant reports Ledger's claim that hardware wallets sold by the reseller CryptoBilis carried added LTE-capable implants that transmit users' recovery phrases. Ledger says the implant leaves the secure chip and operating system untouched, and that its Genuine Check attestation cannot rule out this kind of tampering. It shows how reseller-channel hardware modification can defeat device attestation and compromise key custody. The fetched page held only the standfirst, so technical details such as the implant's design and how many devices were affected are not confirmed.

Ledger
CryptoBilisGenuine Check

Hardware & RF, BlockchainΒ· Published and added 13 Oct 2026

anthropic.comarticle🧠 AI

Strengthening our defenses against distillation attacks

Anthropic describes its layered defenses against distillation attacks, in which fraudulent-account networks harvest Claude's reasoning transcripts to train rival models. The defenses are reasoning summarization, "preserved thinking" (new API accounts cannot edit prior context), restricted access to reasoning transcripts, a two-stage constitutional-classifier system with under 0.1% false positives, stricter usage limits and account bans, and charging for blocked requests. Anthropic reports 10–100x fewer extracted reasoning tokens, and a SWE-bench Verified drop from 80.4% to 71.8% when a model trains on summarized rather than full transcripts. It also argues that distilled models such as GLM-5.3 ship without proportionate safeguards and pose national-security risks, and that platforms and other labs must act too.

Claude
AnthropicClaude Fable 5Claude Fable 5.1+10

ai-policy, training, ai-safetyΒ· Published and added 13 Oct 2026

en.cryptonomist.charticleπŸ›‘οΈ Security

Anthropic tests AI autonomous replication across eight nodes in four of five trials

News write-up of an Anthropic research post (William Zhou, Daniel Freeman) testing whether small open-weight models can act as autonomous worms. Qwen3.5-9B established inference on eight of nine hardware types, and GLM-5.2 spread across eight emulated Android nodes via unauthenticated ADB in four of five trials, reaching seven nodes in the fifth. The piece covers sharding a Gemma4-26B-A4B model across 15 low-memory Android TV boxes, projected spread rates, comparison with the Kimwolf botnet, and network signals defenders could watch (large weight transfers, inter-device inference traffic, scanning).

AnthropicAndroidQwen+2
GLM-5.2KimwolfMemento+5

AI Security, Hardware & RFΒ· Published and added 12 Oct 2026

endorlabs.comarticleπŸ›‘οΈ Security

Guide to Implementing Software Supply Chain Security | Endor Labs

Vendor-authored guide that defines a software supply chain as developers, code, dependencies, AI models, containers and CI/CD pipelines. It walks through program components: OSS governance, SAST vs reachability-based SCA, AI model security, SBOM/VEX (NTIA minimum elements, SPDX vs CycloneDX), secrets scanning, CI/CD hardening, and signing/attestation with Cosign/Sigstore. It cites figures such as 95% of vulnerabilities sitting in transitive dependencies and only 1% of SBOMs being fully NTIA-conformant. Each section closes with an Endor Labs product pitch, so treat the framing as vendor-flavoured. The fetched text was truncated, so the final attestation/provenance section was not seen.

Endor LabsSBOMCycloneDX+3
Executive Order 14028NISTCISA+15

Supply Chain, DevSecOps, LearningΒ· Published and added 12 Oct 2026

endorlabs.comarticleπŸ›‘οΈ Security

Identifying and Tracking FedRAMP False Positives | Endor Labs

Explains how FedRAMP treats false-positive SCA findings, which still have to be tracked in the POA&M and ConMon. It covers the deviation request (DR) process, the SCA problems of scale and missing context (manifest-based inventories, with 88% of imported code unused), and 30–180 day remediation SLAs. It argues that only high-confidence, function-level reachability that holds from any source is likely to satisfy a 3PAO. It then describes how Endor Labs uses call-graph analysis, SBOM/VEX output and rescanning to document false positives.

Endor LabsSBOMVEX
FedRAMPPOA&MConMon+4

GRC, Supply ChainΒ· Published and added 12 Oct 2026

endorlabs.comarticleπŸ›‘οΈ Security

Static SCA vs. Dynamic SCA: Which is Better (and Why It's Neither) | Blog | Endor Labs

Compares static SCA (manifest/source scanning at build time) with dynamic SCA (runtime instrumentation). Static scans are complete but noisy and miss dependencies absent from manifests, for example in Python. Dynamic scans are relevant but incomplete, add agent overhead and surface findings late. It argues eBPF improves deployability of dynamic SCA but not its coverage limit. A worked example with a library of N vulnerable functions illustrates the difference. The author, Endor Labs, advocates static analysis of source code plus reachability analysis to filter findings by whether vulnerable code is actually called.

Endor LabseBPFSnyk+2

AppSec, Supply ChainΒ· Published and added 12 Oct 2026

bleepingcomputer.comarticleπŸ›‘οΈ Security

Ledger confirms spy chip implant behind wallet crypto thefts

Ledger confirmed that devices sold by Southeast Asian reseller CryptoBilis carried an unauthorized hardware implant that drained users' crypto wallets. Researchers Mark Karpelès and Tibane Labs describe the implant: an STM32G431 MCU, eSIM and shielded LTE module hidden behind the OLED screen, which captures display output and button presses to recover the seed phrase and sends it out over LTE. The article covers two implant variants, the telltale antenna wire, and Ledger's guidance (avoid unauthorized resellers, move funds to a new seed). Ledger also warns that its Genuine Check cannot detect implants when the original Secure Element is intact.

Ledger
CryptoBilisMark KarpelèsTibane Labs+3

Hardware & RF, Blockchain, Threat IntelΒ· Added 13 Oct 2026, published 12 Oct 2026

x.comthreadπŸ›‘οΈ Security

SECTOR (@sector_sol) on X

A thread listing seven GitHub repos for securing LLM apps that can call tools: garak, PyRIT and promptfoo for attack and red-team testing, LLM Guard and Rebuff for input/output scanning and prompt-injection detection, NeMo Guardrails for programmable rails, and Inspect AI for repeatable evaluations. It proposes a loop of map risks, attack, inspect failures, add controls, retest and monitor. It stresses that a system prompt is not a security boundary and that credentials should be scoped, tool arguments validated outside the model, and consequential actions approved. It also warns that Rebuff is archived.

garakPyRITpromptfoo+4
prompt injection

AI SecurityΒ· Added 12 Oct 2026, published 11 Oct 2026

github.comrepoπŸ›‘οΈ Security

sakidekin/CVE-2026-41940-PoC

This repository hosts a proof-of-concept for CVE-2026-41940, described as a CVSS 10.0 unauthenticated authentication bypass in cPanel and WHM caused by CRLF injection into server-side session files via the Authorization header. The accompanying Python tool (cve.py) can detect vulnerable cPanel/WHM instances, retrieve system and account information, and perform post-exploitation actions such as running OS commands, changing the root password, and opening an interactive WHM shell. It also supports bulk scanning workflows piped from subfinder, httpx, and Shodan.

PythonShodan
CVE-2026-41940CRLF injectionauthentication bypass

Offensive SecurityΒ· Added 23 Oct 2026, published 11 Oct 2026

bleepingcomputer.comarticleπŸ›‘οΈ Security

Hackers abuse Google Ads, Bing redirects to push Claude ClickFix attacks

BleepingComputer covers Push Security's "Adception" technique: Google search ads for "claude mac" use a bing.com/ck/a click-tracking redirect via a compromised WordPress retailer site to reach fake Claude download page claude-desk-code[.]com. The page shows Anthropic's real install command but the copy button swaps in a Base64-obfuscated curl | zsh command fetching a .dat payload from lake-90[.]com. Multi-layer referrer/header cloaking defeats scanners and direct visits; the toolkit is tracked as AcSig and the final payload is unknown.

ClaudeGoogle AdsBing+3
AdceptionAcSigClickFix+3

Threat IntelΒ· Added 11 Oct 2026, published 10 Oct 2026

arxiv.orgpaperπŸ›‘οΈ Security

SecReason: Vulnerability Detection and In-Stream Self-Repair for LLM Code Generation

SecReason is an in-stream defense for reasoning LLMs that monitors code drafted inside the streamed chain of thought. Dual-track incremental scanning applies security rules per statement and traces dataflows across accumulated code; when a rule fires, generation is interrupted, a warning is inserted, and decoding resumes so the model repairs the draft in the same trace. On CWEval and SecCodeBench it raises the share of secure and functionally correct runs from below 15% to 72.8%–98.1%, uses fewer tokens than post-hoc repair, and limits regressions from false warnings.

LLM
SecReasonCWEvalSecCodeBench

AI Security, AppSecΒ· Added 16 Oct 2026, published 10 Oct 2026

arxiv.orgpaperπŸ›‘οΈ Security

SecReason: Vulnerability Detection and In-Stream Self-Repair for LLM Code Generation

SecReason is an in-stream defense for reasoning LLMs that monitors code drafted inside the streamed chain of thought. Dual-track incremental scanning applies security rules per statement and traces dataflow across accumulated code. When a rule fires, generation is interrupted, a warning is inserted and decoding resumes, so the model repairs its draft without regenerating the full response. On CWEval and SecCodeBench it raises the share of secure and functionally correct runs from below 15% to 72.8%–98.1%, uses fewer tokens than post-hoc repair, and limits functional regressions from false warnings.

LLM
SecReasonCWEvalSecCodeBench

AppSec, AI SecurityΒ· Added 15 Oct 2026, published 10 Oct 2026

opensourcemalware.comwriteupπŸ›‘οΈ Security

GhostAction Attack Escalates By Targeting GitHub Users

OpenSourceMalware's analysis of the latest GhostAction wave, where compromised GitHub accounts get malicious Actions workflows (security-audit.yml) injected across every writable repository, including an Oct 8 sweep of 346 repos via kitao and henrywoo. The new payload greps the checkout and full git history for credential patterns (AWS, Anthropic, OpenAI, GitHub PATs) and POSTs them over HTTP to 193.32.204.199/?c=monami. It also covers infrastructure reuse (phishing-heavy legacy IP, scanner activity), new watchlist domains my-github.com and my-gitlab.com, GitHub code-search hunting queries, a detection-confidence table, IOCs and incident response steps.

GitHub ActionsGitHubGitLab+3
GhostActionT1195.002T1552.001+18

Supply Chain, Threat Intel, DevSecOpsΒ· Added 10 Oct 2026, published 9 Oct 2026

cisa.govadvisoryπŸ›‘οΈ Security

CISA AA26-281A: Chinese Government-linked Actors Combine Automated and Hands-on Hacking Tools to Steal Data

Joint FBI/CISA/NSA and allied-agency advisory on China-linked actors enabled by Integrity Technology Group (overlapping with Flax Typhoon, Ethereal Panda, Red Juliett). It details their TTPs: open-source scanners and the MicroScan exploit-script app, an XSS credential-harvesting payload dropping live700_v1.exe, EBurst password spraying against Exchange/O365, SoftEther VPN persistence, DCSync via DC.exe, and email theft via the Curlc4.txt PHP bot and the office-cli utility. It also provides IOCs, MITRE ATT&CK mappings, CVEs, incident response steps, and mitigations.

SoftEtherMicrosoft 365Active Directory+3
Integrity Technology GroupFlax TyphoonEthereal Panda+13

Threat Intel, Blue Team & DetectionΒ· Added 9 Oct 2026

arxiv.orgpaper🧠 AI

Hide and Seek: HIDE Concepts to SEEK explanations for black box models

Hide and Seek (HnS) is a concept-level attribution method for black-box vision models. It needs no model weights and no concept-labeled datasets. Given a concept and an image set, it uses a vision-language model to retrieve concept-aligned images and localize the concept, masks the localized region, and takes attribution from the change in the black-box model's output. It agreed better with ground-truth attributions than existing methods on CelebA and COCO-Stuff, and it works on tasks existing concept attribution methods cannot handle, such as image captioning and satellite image segmentation.

vision-language model
Hide and SeekHnSCelebA+1

research, multimodalΒ· Added 12 Oct 2026, published 9 Oct 2026

arxiv.orgpaper🧠 AI

BLiMPPI: Benchmark of Linguistic Minimal Pairs for Polarity Items

BLiMPPI is a multilingual evaluation suite of over 12,000 negative polarity item (NPI) minimal pairs across 33 languages. A pipeline finds NPIs in Universal Dependencies treebanks, labels their licensing environments, and perturbs them into grammatical/ungrammatical pairs. Across 12 multilingual and 2 monolingual models plus n-gram baselines, multilingual models do worst on lower-resource languages and on pairs that n-grams cannot solve. The paper also analyses NPI typology, language family, licensing variability and NPI-licenser distance.

Universal Dependenciesn-gram
BLiMPPI

evals, researchΒ· Added 12 Oct 2026, published 9 Oct 2026

securityweek.comarticleπŸ›‘οΈ Security

US Disrupts Chinese State-Sponsored Hacking Tools

The US, alongside UK, Australian, Canadian, Japanese, New Zealand, and Spanish agencies, disrupted MicroScan and FishHub, hacking tools built by China's Integrity Technology Group and used by the state-sponsored actor Flax Typhoon (aka Ethereal Panda, Red Juliett, Storm-0919, UNC5007) against US, Japanese, Polish, and Taiwanese critical infrastructure and universities. MicroScan is a Python-based scanner with over 1,300 penetration-testing scripts targeting Apache Struts, Jenkins, WebLogic Server, WordPress, OpenSSL, and other services, delivered via a Mirai-derived IoT botnet; FishHub let operators remotely search and exfiltrate files from victim networks. The advisory also details the group's broader toolkit (SoftEther VPN for persistence, EBurst for Exchange password spraying, DC.ex for Active Directory data extraction) and the seizure of the domains used to access the tools.

NmapWordPressActive Directory+3
Flax Typhoon (Ethereal Panda, Red Juliett, Storm-0919, UNC5007)Integrity Technology GroupMicroScan+4

Threat Intel, Offensive SecurityΒ· Published and added 9 Oct 2026

securityweek.comarticleπŸ›‘οΈ Security

Anthropic Fast-Tracks AI Bug Reports to OSS Maintainers, Taps 11 Firms for OT Security

Anthropic launched OSS Scanner, a free opt-in service modeled on Google's OSS-Fuzz that uses its most capable Claude models to periodically scan open source projects and send maintainers model-generated, unreviewed vulnerability reports with PoCs and suggested fixes (targeting >90% true-positive rate). It also announced the Critical Infrastructure Defense Program (CIDP), pairing frontier Claude models and on-site engineers with eleven founding partners β€” Accenture, Booz Allen, CrowdStrike, Deloitte, Dragos, Hitachi, Insane Cyber, Nozomi Networks, Palo Alto Networks, PwC, and Rockwell Automation β€” to help OT/ICS operators in power, water, manufacturing and transportation remediate vulnerabilities that often can't be patched quickly. Both build on lessons from Anthropic's earlier Project Glasswing, which found many vulnerabilities but struggled to get them fixed in time.

ClaudeAnthropicCrowdStrike+3
Project GlasswingOSS-FuzzOSS Scanner+1

AI Security, AppSecΒ· Published and added 9 Oct 2026

ethereum-magicians.orgthreadπŸ›‘οΈ Security

Hybrid post-quantum stealth addresses (ERC-5564 schemeId 3)

A draft ERC proposing schemeId 3 for ERC-5564 stealth addresses, combining an ML-KEM-768 encapsulation with a secp256k1 ECDH secret so that future quantum computers cannot retroactively deanonymize recipients from the public announcement log, while spending stays classical secp256k1 (and thus still quantum-vulnerable once spent). The post, with a linked reference implementation, test vectors and gas harness, details the key/meta-address format, the payment-secret combiner (hashing both shared secrets and ciphertexts for IND-CCA), the view-tag derivation ordering to avoid quantum tag-narrowing, measured gas cost (111,330 gas per payment on Prague), and open questions around ANO-CCA proofs for standardized ML-KEM, NIST SP 800-56C combiner approval, and downgrade-attack handling when a recipient registers under both schemeId 1 and 3.

Ethereum
ERC-5564ERC-6538EIP-7623+7

BlockchainΒ· Published and added 9 Oct 2026

ethereum-magicians.orgthreadπŸ›‘οΈ Security

ERC-8441: Hybrid post-quantum stealth address scheme

A draft Ethereum ERC (ERC-8441) proposes schemeId 3 for ERC-5564 stealth addresses, combining an ML-KEM-768 encapsulation with a secp256k1 ECDH secret so that quantum adversaries who later break discrete log still cannot deanonymize who was paid in past public announcement logs, protecting against harvest-now-decrypt-later attacks. Spending remains classical secp256k1 and unprotected once quantum computers exist; the authors flag open issues including a documented downgrade attack (recipients registered under both scheme 1 and 3 can still be paid without PQ protection), the lack of a formal ANO-CCA proof for standardized ML-KEM, and a non-NIST-approved secret combiner. It reuses the existing ERC-5564 announcer and ERC-6538 registry with no contract changes, costing 111,330 gas per payment.

Ethereum
ERC-5564ERC-6538ERC-8441+9

BlockchainΒ· Published and added 9 Oct 2026

arxiv.orgpaper🧠 AI

AgentValve: Sybil-Resilient Payment Authorization for Permissionless AI Markets

AgentValve is a protocol for Sybil-resilient payment authorization when AI agents pick and pay service providers without human review in permissionless markets. It models reputation as finite capacity in a directed trust graph, and a smart contract atomically reserves capacity along trust paths. This bounds honest agents' payment exposure to the capacity they extend into the adversarial region, so fake identities and fabricated feedback inside that region cannot raise the bound. Payment-backed capacity creation and bounded route length limit depletion by malicious senders. A witness-commit mechanism splits off-chain route discovery from on-chain verification, cutting verification to linear work with constant persistent state per payment. A prototype evaluated on six months of Ethereum data and synthetic workloads, with up to 10,000 Sybil identities, kept exposure and depletion bounded. Admission cost fell by up to 40.8% versus baselines, at roughly $0.04-$0.21 per common payment.

Ethereumsmart contracts
AgentValve

research, agentsΒ· Added 13 Oct 2026, published 9 Oct 2026

x.comthreadπŸ›‘οΈ Security

Dark Web Intelligence (@DailyDarkWeb) on X

A Twitter/X post digests joint advisory AA26-281A from FBI, CISA, NSA and allied agencies (UK, Australia, Canada, Japan, New Zealand, Spain) on China-based Integrity Technology Group enabling threat actors, tracked elsewhere as Flax Typhoon, Ethereal Panda and Red Juliett, to target US critical infrastructure, government, healthcare, education and law enforcement networks worldwide. The actors chain open-source scanners, large botnets, XSS, password spraying against Microsoft Exchange, VPN persistence and credential-harvesting scripts. CISA added five exploited CVEs (ISC BIND, Apache Struts, ProFTPD, ONLYOFFICE Docs, Strapi) to its KEV catalog with an Oct 11 federal remediation deadline, and STIX IOCs accompany the advisory.

ISC BINDApache StrutsProFTPD+3
CVE-2015-5477CVE-2016-3081CVE-2015-3306+7

Threat IntelΒ· Published and added 8 Oct 2026

x.comrepoπŸ›‘οΈ Security

Dark Web Informer (@DarkWebInformer) on X

Infoooze is an open-source command-line OSINT reconnaissance toolkit (github.com/devxprite/infoooze) that consolidates common footprinting tasks into one CLI: username enumeration across platforms, email discovery, subdomain enumeration, port scanning, WHOIS/DNS lookups, IP/HTTP header analysis, EXIF metadata extraction, GitHub recon, and URL scanning/expansion. It automatically saves results, making it a lightweight all-in-one alternative to running several separate recon tools.

GitHub

OSINTΒ· Published and added 8 Oct 2026

stepsecurity.ioarticleπŸ›‘οΈ Security

StepSecurity Now Inventories AI Agent Skills in Your GitHub Repositories and on Developer Machines

StepSecurity announces two new inventory features β€” Dev Machine Guard's Agent Skills page (scanning 18 AI coding agents' skill directories on developer machines) and a GitHub Agent Skills page (scanning default branches of org repos daily) β€” to track AI agent "skills" (SKILL.md folders with optional scripts/hooks) across an organization. The post frames skills as a supply-chain surface because they can execute shell commands, pre-approve tool permissions via allowed-tools frontmatter (bypassing Claude Code's workspace trust gate), and look like harmless Markdown documentation in PR review, citing the Miasma worm, s1ngularity, and the Cline v2.3.0 compromise as precedent for this attack class. It details inventory features like content-hash comparison across devices, provenance tracing via skills.sh/skills-lock.json, and filters for shell/hooks/code execution flags to prioritize review.

Claude CodeCursorGitHub Copilot+3
Miasma worms1ngularityCline v2.3.0 compromise

Supply Chain, AI SecurityΒ· Published and added 8 Oct 2026

hackers-arise.comarticleπŸ›‘οΈ Security

Bypass Web Application Firewall (WAF) with EvilWAF

Hackers-Arise walkthrough of EvilWAF, an open-source MITM proxy and standalone WAF vulnerability scanner that evades modern behavior-based WAFs by rotating TCP/TLS fingerprints (JA3/JA4) rather than altering attack payloads. It covers proxying sqlmap traffic through EvilWAF, its auto-hunt feature for discovering and routing directly to the real origin IP behind a WAF, and its scan-only mode that probes ten WAF defense layers (rule engine, rate limiting, HTTP method handling, TLS settings). The piece also discusses why Cloudflare's ML-based behavioral fingerprinting resists many of these bypass techniques.

EvilWAFsqlmapCloudflare+2
JA3JA4

Offensive Security, AppSecΒ· Published and added 8 Oct 2026

decrypt.coarticleπŸ›‘οΈ Security

Morning Minute: Ethereum Researcher Says AI May Break Crypto Encryption Before Quantum

A daily crypto-market newsletter segment reporting Ethereum Foundation researcher Justin Drake's warning that AI, not quantum computing, may be the first to break ECDSA β€” the elliptic-curve signature scheme securing Bitcoin and Ethereum β€” potentially within months by recovering private keys from exposed public keys using large GPU clusters. Drake calls for industry-wide "bunker mode": migrating self-custodied funds to fresh addresses whose public keys remain hashed/hidden, and names exchanges (Binance, Bitbank, Robinhood, Bitfinex, Tether) he wants to harden cold storage. The article also notes a concurrent Europol report flagging crypto wallets with already-revealed public keys as the main weak point for future quantum/AI attacks, since those cannot be retroactively protected.

BitcoinEthereumOpenAI
Justin DrakeEuropolbunker mode+1

BlockchainΒ· Published and added 8 Oct 2026

arxiv.orgpaper🧠 AI

What Output-Only Review Cannot Verify: Study Contracts for Research Agents

Proposes "study contracts" that bind an AI-generated study's declared experimental choices, run obligations and claim scope to recorded execution evidence, defining contract-relative verification as distinct from scientific truth. In a diagnostic with eight self-authored clean/mutated pairs, a deterministic fault-specific checker caught all eight mutations, while eighteen LLM judge aliases given metadata-filtered packages flagged 104 of 144 mutated cases (32 abstentions, 8 terminal failures). The authors stress the setting is deliberately information-asymmetric, not a verifier-quality comparison or reward-hacking result, and call for full-information comparisons, legitimate-adaptation controls and closed-loop agent evaluations.

research, evals, agentsΒ· Added 9 Oct 2026, published 8 Oct 2026

adversa.aiarticleπŸ›‘οΈ Security

Top MCP security resources β€” October 2026

Adversa AI's October 2026 MCP security roundup, aggregating and synthesizing 15 resources: authentication-bypass vulnerabilities in LiteLLM's MCP endpoint (CVE-2026-59822, now CISA KEV), Grafana's MCP server session spoofing/SSRF (CVE-2026-19516), an MCP Python SDK OAuth-fallback flaw exploited by a malicious server returning a 404, and an Obot gateway route-matching bypass reopening GHSA-vw82. It also covers detection failures (two malicious MCP servers passing five scanners including Cisco mcp-scanner and Snyk agent-scan, 12% of 82,000 public MCP configs hardcoding secrets), a malicious npm wallet-signing package (gadgethumans-mcp), the A2M agent-hijacking attack technique, and CoSAI's MCP Security v2.0 governance model.

Model Context ProtocolLiteLLMnpm+3
CVE-2026-59822CVE-2026-59821CVE-2026-19516+6

AI Security, AppSec, Identity & AccessΒ· Published and added 8 Oct 2026

arxiv.orgpaper🧠 AI

Who Verifies the Verifier? Co-Evolving Inspectable Graders with Self-Improving Agents

Proposes making the verifier the evolving object in self-improving agent loops. The verifier is an inspectable expression over small, mostly deterministic drawback detectors, synthesized from clustered failures, gated at birth, and selected for agreement with a ten-item anchored reference set plus consensus over unlabeled outputs, never for the agent's score. On MBPP+ it gains +0.21 held-out agreement over the hand-authored seed and ends ahead of the bare LLM judge it contains. Removing the anchor guards collapses the verifier into an always-pass grader that still trains skills as well, so downstream task score cannot certify a self-evolved verifier. The paper's Double Ratchet pairs the verifier with a lifecycle-managed skill loop and retains 88-110% of the lift from ground truth or a rubric on code generation, enterprise text-to-SQL and reference-free report generation.

MBPP+

research, evals, agentsΒ· Added 9 Oct 2026, published 8 Oct 2026

github.comrepoπŸ›‘οΈ Security

chainguard-dev/malcontent

malcontent is Chainguard's open-source malware/supply-chain discovery tool that analyzes binaries (ELF, Mach-O, PE, a.out) and scripting-language source across Linux, macOS and Windows using 14,500+ YARA rules (including third-party rules from Avast, Elastic, FireEye, Mandiant, Nextron and ReversingLabs). Its standout feature is differential analysis ("mal diff"), which compares two versions of a build artifact or OCI image against a known-good baseline to surface newly introduced risky behaviors β€” the technique the project demonstrates on the 3CX supply-chain compromise by flagging unexpected high-risk changes to libffmpeg. It also supports threshold-based scanning ("mal scan") and unfiltered capability enumeration ("mal analyze"), and is designed to run inside CI/CD pipelines, including air-gapped environments via embedded rules.

YARAGoRust+4
3CX Compromise

Supply Chain, Malware & RE, Blue Team & DetectionΒ· Added 8 Oct 2026

github.comrepoπŸ›‘οΈ Security

target/strelka

Strelka is Target's open-source, container-based real-time file scanning system for threat hunting, threat detection, and incident response, built in Go and Python. It runs 50+ scanners (YARA, PE parsing, encrypted ZIP cracking, entropy analysis, etc.) to extract metadata and content from files at enterprise scale, which can feed a SIEM for alerting on suspicious artifacts like an Emotet-laden encrypted ZIP payload.

DockerGoPython+1
Laika BOSSEmotet

Blue Team & DetectionΒ· Added 8 Oct 2026

github.comrepoπŸ›‘οΈ Security

deepfence/YaraHunter

YaraHunter is Deepfence's open-source scanner that applies YARA rulesets against container images, running Docker containers, and filesystems to detect indicators of compromise such as malware and cryptominers. It supports CI/CD build-time scanning, at-rest image scanning, and runtime container scanning, with JSON output for automation, and is designed to eventually integrate into the Deepfence ThreatMapper platform. The README walks through detecting the XMRig cryptominer inside a container image as a worked example.

DockerYARA
XMRig

Blue Team & Detection, DevSecOps, Malware & REΒ· Added 8 Oct 2026

aws.amazon.comarticleπŸ›‘οΈ Security

Building your AI vulnerability harness, Part 1

AWS Security Blog describes a three-layer AI-assisted pipeline for triaging vulnerability scanner findings: Layer 1 cross-checks multiple scanners (e.g., Semgrep, CodeQL) for agreement, Layer 2 verifies a scanner's claimed data-flow path against the code's actual abstract syntax tree to catch hallucinated findings, and Layer 3 cross-references infrastructure-as-code (CloudFormation/Terraform) to weigh whether existing controls like AWS WAF rules actually mitigate the exploit path. It argues progressive, escalating-evidence filtering plus mandatory structural verification of LLM claims before human review is what turns noisy scanner output into a short, trustworthy, prioritized list, and lays out an adoption order (indexing, then multi-scanner triage, then AI hypothesis generation, then infra context, then live PoC verification).

AWSSemgrepCodeQL+3

AI Security, AppSecΒ· Published and added 7 Oct 2026

arxiv.orgpaperπŸ›‘οΈ Security

BRANCH: Bypassing Multi-Scanner AI Guardrails

BRANCH is a bypass methodology for guardrail systems built from multiple scanners (prompt injection/jailbreak detectors). It uses a branching tree search that applies adversarial perturbations to individual scanners and selects techniques based on overall improvement across all scanners, decoupling bypass evaluation from attack signal optimization. It reports 100% attack success across 6 guardrail systems in 120 scenarios with 72% fewer queries and 4.5x lower wallclock time than established techniques, and transfers to 29 unseen guardrails, including 8 commercial black-box ones.

LLM
BRANCH

AI SecurityΒ· Added 9 Oct 2026, published 7 Oct 2026

arxiv.orgpaperπŸ›‘οΈ Security

DITTO: A Context-aware Pickle-based Pre-Trained Model Scanner for Effective Security Audits

Introduces DITTO, a stack-based, context-aware scanner for Pickle-based pre-trained models that tracks Pickle VM state transitions and applies semantic analysis to infer model intent. Authors found 9.3% of 10,000+ popular Hugging Face repos still use Pickle, and release PickleBench (959 benign, 92 malicious models, including extension registry attacks missed by existing tools). Reports 100% coverage, 0% false negatives, 0.7% false positives, F1 0.966, outperforming current scanners.

Hugging FacePython
DITTOPickleBenchextension registry attacks

AI Security, Supply Chain, AppSecΒ· Added 9 Oct 2026, published 7 Oct 2026

microsoft.comwriteupπŸ›‘οΈ Security

3 lessons from frontier AI vulnerability research

Microsoft Security's FORGE Lab shares results and lessons from four months of AI-agent-driven vulnerability research: 140 Windows CVEs (52 in September 2026's release), 155 internally validated reports across 23 open-source projects, and the first patch merged into the Linux kernel via the Linux Foundation's Akrites coordinated-disclosure initiative. Using their multi-model agentic scanning harness MDASH and GPT-5.5-based validation agents, the team measured automated PoC generation at an average $3.61/21.5 minutes per confirmed crash and local privilege-escalation AEG at $8.56/25.4 minutes, and argues the real bottleneck has shifted from finding bugs to validating and remediating them at matching speed. Specific disclosed CVEs include curl's CVE-2026-9545 and CVE-2026-13608, Node.js's CVE-2026-56848, and Linux kernel's CVE-2026-64563.

MDASHWindowsLinux kernel+3
CVE-2026-9545CVE-2026-13608CVE-2026-56848+6

AI Security, Offensive Security, AppSecΒ· Published and added 7 Oct 2026

arxiv.orgpaper🧠 AI

AI Safety Considerations for Agents With Limited Time to Act

This arXiv preprint argues that proofs of AI safety or alignment which consider the agent in isolation are incomplete, because the environment's structure matters just as much. The authors construct two theoretical scenarios β€” one with an infinite state space, one with signal mixture β€” under partial observability and time-limited action, and prove that even a hypothetically perfect agent cannot guarantee safe behavior in them. The conclusion is that any rigorous safety or alignment proof must jointly specify the agent and the environment's safe-action structure, not the agent alone.

ai-safety, researchΒ· Added 8 Oct 2026, published 7 Oct 2026

x.comthreadπŸ›‘οΈ Security

Derek Abdine (@dabdine) on X

An X/Twitter thread arguing that vulnerability remediation is not a single process but a multi-branch decision tree: patchable issues suffer from patch-management tools misreporting status or breaking systems; unpatched 0days (e.g. Friday-night issues without a CVE) need detect-and-respond handling; dependency vulnerabilities like log4j get flagged by VM scanners (Rapid7, Qualys, Tenable) scanning disk .jar files but the real fix is an appsec/product fix on the parent app, creating IT-sec vs appsec ownership confusion; "upgrade to latest" policies can backfire against supply-chain compromises; and OT environments (manufacturing, healthcare, power β€” e.g. Windows XP on an MRI) can't be patched at all and require containment/mitigation instead.

Rapid7QualysTenable+1
Axioslog4j

GRCΒ· Added 8 Oct 2026, published 7 Oct 2026

github.compaper🧠 AI

Integer multiplication below n log n

A preprint hosted in OpenAI's "math" GitHub repository claiming a result on integer multiplication algorithms with complexity below the n log n bound, the long-standing benchmark achieved by the Harvey–van der Hoeven algorithm in 2019. The page itself only exposes citation metadata (author, title, BibTeX entry) with the actual paper linked as a PDF, so the specific proof technique and whether it was AI-assisted cannot be confirmed from the fetched text alone.

OpenAI

researchΒ· Added 7 Oct 2026, published 6 Oct 2026

socket.devarticleπŸ›‘οΈ Security

Introducing Socket Scanning for VS Code Marketplace Extensions

Socket.dev announced experimental scanning of VS Code Marketplace extensions (100,000+), extending its existing Open VSX coverage, to flag risky file/network/process access, obfuscated code, and hidden activation logic before teams install or auto-update developer tools. The post grounds the launch in two real incidents: the Nx Console supply-chain breach that let attackers exfiltrate ~3,800 GitHub repositories from a single poisoned extension update, and Socket's own GlassWorm investigation, which found four VS Code and six Open VSX theme extensions tied together by encrypted JavaScript payloads and a Solana-based dead-drop C2.

VS CodeOpen VSXSocket+2
GlassWormNx Consolefingercakes4sale[.]store

Supply Chain, Threat IntelΒ· Published and added 6 Oct 2026

arxiv.orgpaper🧠 AI

Post-Training Semantic Lifting for 3D Gaussian Splatting: Separating Detector, Lifting and Representation Error

This arXiv paper introduces a post-training semantic lifting method for 3D Gaussian Splatting that assigns a single target class to Gaussians by accumulating target/non-target evidence across all views, weighted by per-view visibility, then filters with a dual-threshold (Ξ² and Ξ³Ξ²) scheme that selects high-confidence seeds and extends them via connected components. The authors evaluate by transferring labels from Gaussians to mesh vertices and decompose error into three sources β€” the 2D detector, the lifting step, and the representation transfer β€” tuning thresholds on seven Replica scenes and testing on ten held-out ScanNet++ scenes, reaching mean mIoU of 0.93/0.65 (dataset masks/YOLO masks) on validation and 0.80/0.54 on test, a 0.24 mIoU improvement over prior per-view thresholding. The error analysis finds the 2D detector is the dominant remaining error source, informing where future gains in 3D semantic reconstruction should focus.

3D Gaussian Splatting
ScanNet++ReplicaYOLO+1

research, multimodalΒ· Added 7 Oct 2026, published 6 Oct 2026

microsoft.comarticleπŸ›‘οΈ Security

CISO perspectives on managing vulnerability risks in the age of AI

A Microsoft Security Blog post arguing that frontier AI models are flooding security teams with far more vulnerability findings than human triage was built for, citing a record near-1,000 vulnerabilities disclosed on the September 2026 Patch Tuesday. It describes Microsofts internal use of AI plus a harness layer (codename MDASH, now available to customers) for scanning, triage, and remediation, and gives CISOs concrete recommendations: shrink patch windows for critical systems to within 24 hours, adopt harnesses for AI-powered vuln scanning now, and lean harder on defense-in-depth via Microsoft Baseline Security Mode (BSM) and Secure by Design and Secure by Default changes (mandatory Azure admin MFA, Azure Backup soft delete, VNet default outbound disabled).

AzureMicrosoft Baseline Security ModeMDASH
Secure Future InitiativePatch Tuesday

AppSec, AI Security, GRCΒ· Added 7 Oct 2026, published 6 Oct 2026

hackers-arise.comwriteupπŸ›‘οΈ Security

Living off The Browser: Running Popular Hacking Tools Inside Chrome

Hackers Arise walks through an installable Chrome Isolated Web App that packages nine popular Active Directory pentesting tools, including NetExec (NXC), SharpHound, LDAP-shell, Evil-WinRM, and Certipy, so they run natively inside a Chrome tab with multi-protocol network access, bypassing the need for Linux or WSL. The piece shows setup via Chrome flags and an IWA install URL, then a lab demo: port-scanning a target, using Evil-WinRM for remote access, enumerating DNS zones with ADIDNS, and running Certipy to flag an ESC1-vulnerable ADCS template for domain-admin escalation.

ChromeActive DirectoryKerberos+3
ESC1ADIDNS

Offensive SecurityΒ· Added 7 Oct 2026, published 6 Oct 2026

ethereum-magicians.orgthreadπŸ›‘οΈ Security

Formalization of the Invariant Duality Theorem

An Ethereum Magicians forum post formalizes an "Invariant Duality Theorem": in a permissionless network, a protocol cannot simultaneously achieve Perfect Indistinguishability (traffic statistically indistinguishable from white noise under DPI) and Resource Exhaustion Resistance (O(1) early rejection of junk packets). The proof sketch argues that indistinguishable traffic forces receivers to run expensive deobfuscation on all packets including attacker-generated noise (enabling DoS), while any cheap early-filter function, by Kerckhoffs's principle, becomes a public signature a censor can hardware-implement to block the protocol. This is a theoretical tradeoff relevant to designing or attacking covert/anti-censorship transport protocols.

Ethereum
Kerckhoffs's principleDeep Packet Inspection

Blockchain, Offensive SecurityΒ· Published and added 6 Oct 2026

x.comthreadπŸ›‘οΈ Security

Ayyaz (@ayyazdev) on X

A security researcher's thread breaks down CVE-2026-105135, an unpatched critical (CVSS 10.0) remote code execution vulnerability in InternLM's MindSearch agent with a public PoC. The flaw is in ExecutionAction.run in mindsearch/agent/graph.py, which passes the planner LLM's output directly to Python's exec() β€” if the model's reply lacks a code fence, the entire response is executed, and a crafted query to the /solve endpoint can get the model to emit attacker-controlled code that runs as root inside the shipped Docker container (which binds 0.0.0.0:8002). The author notes prompt filtering cannot fix this since the attacker only needs the model's output to contain code, and recommends running any agent that executes model-written code in a network-isolated, non-root sandbox kept off public ports.

PythonDockerCVSS+1
CVE-2026-105135VulDBInternLM

AI Security, AppSecΒ· Added 7 Oct 2026, published 5 Oct 2026

x.comrepoπŸ›‘οΈ Security

Dark Web Informer (@DarkWebInformer) on X

A public PoC chains CVE-2026-42589 and CVE-2026-40281 to achieve unauthenticated remote code execution against Gotenberg (a document/PDF-conversion microservice), abusing metadata injection flaws in the /forms/pdfengines/metadata/write endpoint. The tool supports vulnerability detection, interactive command execution, reverse shell delivery, and multi-target scanning against Gotenberg versions ≀8.30.1 (patched in 8.31.0).

Gotenberg
CVE-2026-42589CVE-2026-40281

Offensive Security, AppSecΒ· Published and added 5 Oct 2026

openai.comarticle🧠 AI

Our approach to EU text provenance rules

OpenAI explains how it will meet the EU AI Act's machine-readable marking requirement for generated text. It uses textGrain, an invisible statistical watermark on word choices. API customers can opt in globally, ChatGPT and Codex output in the EU gets the watermark by default, and detector access is limited to approved researchers. The post gives detection numbers: about 80% at 200 tokens and 95% at 400 tokens at a 1% false-positive rate, falling to 66% and 17% when 10% and 25% of words are replaced with synonyms. It also lists what a watermark cannot show, such as human contribution, ownership, user identity, accuracy, or proof of human authorship, and places text provenance within a layered approach with C2PA Content Credentials and SynthID.

ChatGPTCodexOpenAI API+2
OpenAIEU AI ActtextGrain+3

ai-policyΒ· Published and added 5 Oct 2026

blogs.gnome.orgarticleπŸ›‘οΈ Security

The Era of Software Quality, or the Era of Ostriches?

GNOME security maintainer Michael Catanzaro details how AI-generated vulnerability reports have transformed GNOME's security workload: CVE counts for GNOME and WebKitGTK rose an order of magnitude, driven largely by AI scanning. He breaks down the now-closed YesWeHack-hosted GNOME Bug Bounty Program (sponsored by Germany's Sovereign Tech Agency) which paid €183,900 for 71 vulnerabilities across libsoup, GLib, and glib-networking, a Red Hat-commissioned AISLE Research AI scan of GLib that found 118 issues with a ~40% false-positive rate (mostly gobject-introspection typelib misclassifications), and a Codean Labs human security audit that found critical Flatpak and xdg-desktop-portal sandbox escapes AI likely would have missed. He argues maintainers should permit AI-generated vulnerability reports in their contribution policies, warns about integer-overflow bugs and Cargo supply-chain risk in Rust, and offers a draft AI-usage policy for GNOME contributors.

GNOMEGLiblibsoup+7
GNOME Bug Bounty ProgramYesWeHackSovereign Tech Agency+7

AppSec, AI Security, Supply ChainΒ· Published and added 5 Oct 2026

x.comthreadπŸ›‘οΈ Security

Slade πŸ›‘οΈ LLM Hacker (@llm_redteam) on X

A security researcher flags a claimed path traversal vulnerability (CVE-2026-95273, CVSS 4.3) in changedetection.io up to version 0.60.7, stemming from how the static_content route handles the filename parameter. The poster notes the exploit is reportedly public with no patch yet, but explicitly cannot verify the CVE against NVD or GitHub advisories, and advises checking the version, reviewing the static_content file-path logic, and keeping the UI off the public internet (behind auth or a VPN) until a fix ships.

changedetection.ioCVSS
CVE-2026-95273path traversal

AppSecΒ· Published and added 4 Oct 2026

github.comrepoπŸ›‘οΈ Security

DeepZero

DeepZero is an open-source orchestration engine that lets researchers define vulnerability-research pipelines declaratively in YAML, handling parallel execution (ThreadPoolExecutor), resumable/fault-tolerant state, and LLM-assessment stages via LiteLLM/Jinja2 prompts. It ships example processors for Ghidra headless decompilation, LOLDrivers.io hash exclusion filtering, PE header/driver metadata extraction, and batch Semgrep scanning, with a dedicated pipeline for BYOVD kernel driver vulnerability research. An extensibility model lets users plug in custom Python processors referenced by path in the YAML config.

GhidraSemgrepLiteLLM+2
BYOVDLOLDrivers

Offensive Security, Malware & RE, AI SecurityΒ· Added 3 Oct 2026

arxiv.orgpaperπŸ›‘οΈ Security

COPEX: Benchmarking LLM Robustness to Adversarial Context Across Model Context Protocol Layers

COPEX (COntext Provider EXploitation) is a benchmark that isolates the tool-selecting LLM as the unit of evaluation in Model Context Protocol systems, fixing the surrounding agent stack and varying only the model to measure its intrinsic susceptibility to adversarial context. It covers 25 attack types across 125 scenarios spanning four entry surfaces β€” model/agent, client, server/tool, and transport β€” and tests nine models across 3,375 trials, finding a mean attack success rate of 64.4% (58.3%–71.4% by surface); combined input and context scanning cut mean attack success by 49.6% on an eight-attack defense subset. The work separates "system exposure" (attacks succeeding outside the model's observation/control) from "model susceptibility," and the benchmark itself is released publicly.

Model Context ProtocolLLM
COPEX

AI SecurityΒ· Added 6 Oct 2026, published 3 Oct 2026

x.comthreadπŸ›‘οΈ Security

Nation (@visitnation) on X

NATION Guard is a local, open-source tool announced by Nation that inspects the instructions and configuration behind AI agents. It combines injection-pattern scanning, integrity baselining, and per-server MCP fingerprinting so developers can detect suspicious prompt injections and unauthorized changes to their agent setup.

Model Context ProtocolNATION Guard

AI SecurityΒ· Published and added 3 Oct 2026

arxiv.orgpaper🧠 AI

CorrectGuard: Eyes-Off Correctness Estimation for Black-Box Security Guardrails

CorrectGuard is a framework for estimating how accurately black-box security guardrails (jailbreak, harmful-content, prompt-injection and extraction detectors) perform on inputs that cannot be inspected by humans or by the evaluating model itself, using an independent correctness model trained only on labeled "eyes-on" data. The authors test in-context-learning, embedding-based, and fine-tuned correctness classifiers under leave-one-dataset-out evaluation across 13 safety/security datasets and multiple open-weight guardrails, showing up to 25-point macro-accuracy gains and improved risk-coverage tradeoffs (AURC reduced from 0.33–0.44 to 0.17–0.22) for guardrail decision ranking and abstention. The work matters for anyone building auditing or eval pipelines for opaque safety classifiers without privileged access to their internals.

CorrectGuard

evals, researchΒ· Added 5 Oct 2026, published 2 Oct 2026

github.comtoolπŸ›‘οΈ Security

https://github.com/praetorian-inc/gato

Gato (GitHub Attack Toolkit) from Praetorian is a Python CLI for enumerating and attacking GitHub organizations' CI/CD pipelines: it identifies poisoned pipeline execution risks, abuses self-hosted runners via workflow and run-log analysis, exfiltrates Actions secrets, and automates fork-PR/workflow-based command execution. Version 1.7 added an Actions Artifacts Secrets Scanner that downloads and recursively scans workflow artifacts with NoseyParker, which Praetorian used to find critical secrets leaks in prominent open-source projects. The project is now archived/superseded by Praetorian's multi-platform tool Trajan, which merges Gato (GitHub) and Glato (GitLab) attack capabilities.

GitHub ActionsGitHubPython+2
poisoned pipeline execution

DevSecOps, Offensive SecurityΒ· Published and added 2 Oct 2026

bughunters.google.comwriteupπŸ›‘οΈ Security

https://bughunters.google.com/blog/pagebreak-real-world-findings?utm_source=tldrsec.com&utm_medium=newsletter&utm_campaign=tl-dr-sec-348-google-s-pagebreak-scanner-perplexity-s-agent-security-tool-defending-agentically

Google's Product Security team describes three high-severity bugs found by PageBreak, an internal LLM-agent scanner that validates findings by running payloads against live environments. The cases are cache poisoning on apis.google.com (an unkeyed `extra_path` injected into cached JS), XSS on admin.google.com where the agent bypassed the `sig` check by getting the authorize endpoint to sign a `javascript:` URI, and a UXSS in the Tag Assistant extension via a weak `onConnectExternal` origin check and nonce exfiltration. It shows what agentic, deterministically verified scanning can find in well-reviewed targets.

ChromeTag AssistantGoogle Tag Manager+2
PageBreakcache poisoningXSS+4

AppSec, AI SecurityΒ· Added 2 Oct 2026, published 1 Oct 2026

tldrsec.comarticleπŸ›‘οΈ Security

[tl;dr sec] #348 - Google's PageBreak Scanner, Perplexity's Agent Security Tool, Defending Agentically

tl;dr sec #348 is a weekly security newsletter issue. It summarises Google's PageBreak agent (500+ XSS bugs found since November 2025, validated deterministically), Perplexity's open-source Numbat agent-security tool (52 CEL rules), and SpecterOps' CiliumHound. It also covers Scaleway IAM attack paths, the NCSC essay on defending agentically, Julien Vehent on detection fidelity, and Wiz's Scan for Good.

PageBreakNumbatCiliumHound+3
XSSVolt TyphoonRed Agent+6

AI Security, AppSec, Blue Team & DetectionΒ· Added 30 Oct 2026, published 1 Oct 2026

arxiv.orgpaperπŸ›‘οΈ Security

The Innocent Courier: Covert Exfiltration Through Legitimate LLM Web Fetching

LLMLeak is an attack that abuses an LLM agent's legitimate web-fetching tool as a covert exfiltration channel for malware that cannot itself reach the internet. A local malicious component embeds a secret in a URL disguised as useful reference material (e.g. for a library migration task); when the LLM fetches it, the secret reaches an attacker-controlled DNS or web server, achieving a 79.7% attack success rate across eleven open-parameter models and working against real-world chatbots.

LLM
LLMLeak

AI SecurityΒ· Added 2 Oct 2026, published 1 Oct 2026

snyk.ioarticle🧠 AI

Why AI Coding Agents Keep Writing Broken Access Control

Snyk argues AI coding agents reliably write broken access control (BOLA/IDOR, OWASP's top category since 2021) because the facts needed to add an ownership check β€” what an object belongs to, who may access it, where tenant boundaries sit β€” are tacit product knowledge that exists nowhere in the code or prompt an agent sees. It explains why SAST tools catch patterned sub-categories like path traversal or SSRF but structurally cannot catch CWE-639/862/863 (missing or incorrect authorization), since there's no bad pattern to match, and proposes reasoning over an assembled "application-context graph" of architecture, data flows and trust boundaries instead. It closes with a five-step team checklist (inventory ID-accepting endpoints, document ownership rules, add authorization-specific PR review, write cross-tenant tests, run deep contextual analysis) and pitches Snyk's Evo Agentic AppSec as the tool built around that approach.

SnykOWASPEvo Agentic AppSec+1

coding-agentsΒ· Published and added 1 Oct 2026

github.comrepoπŸ›‘οΈ Security

AI-Infra-Guard (A.I.G) β€” Tencent Zhuque Lab

AI-Infra-Guard (A.I.G) is Tencent Zhuque Lab's open-source AI red-teaming platform combining AI infrastructure vulnerability scanning (2000+ CVE rules covering vLLM, llama.cpp, LangFlow, n8n, MLflow and 145+ other AI components), MCP server/skill security scanning, LLM API poisoning detection, and multi-turn jailbreak evaluation (Many-Shot, PAIR, GOAT, ActorAttack). It ships CLI tools (skill-scan, mcp-scan, agent-scan), a Docker-deployed web UI, and has produced original research including FORGE-Bench (loss-of-control benchmark), RogueHandoff-20, and SkillJack (persistent skill backdoors), with talks at Black Hat Europe 2025 on MCP security.

Model Context ProtocolDockervLLM+3
SkillTrustBenchFORGE-BenchRogueHandoff-20+2

AI Security, Offensive SecurityΒ· Added 30 Sep 2026

github.comrepoπŸ›‘οΈ Security

Sift β€” Open-Source Secrets/Credential Scanner

Sift is Stratus Security's open-source successor to Snaffler: a Native AOT credential/secrets scanner for pentesters that crawls local drives, SMB shares/subnets, Active Directory, SharePoint/OneDrive/Teams, Slack, and Jira/Confluence for exposed secrets. It supports Kerberos/NTLM/pass-the-hash authentication, resumable checkpointed scans, a JSON rule/ignore-rule system compatible with Snaffler's detection catalogue, and optional local-LLM (Ollama) validation to cut false positives without sending sensitive findings to a cloud API.

.NETActive DirectoryMicrosoft 365+3
Snaffler

Offensive SecurityΒ· Added 30 Sep 2026

arxiv.orgpaper🧠 AI

Ranking-Aware Prompt Optimization for Multimodal Clinical Diagnosis

The paper introduces Ranking-PE, a modification to reflective prompt-optimization methods like GEPA that replaces per-instance accuracy scoring with pairwise AUROC-equivalent scoring (via the Wilcoxon-Mann-Whitney identity) across the scores matrix, reflection feedback, and candidate selection. Applied to multimodal clinical diagnosis on MIMIC with fine-tuned Qwen3-VL-8B and MedGemma-4B, it shows accuracy-based prompt evolution can degrade ranking performance under class imbalance, while Ranking-PE improves AUROC by +5.8pp and +16.2pp respectively, with ablations showing a medical-grade visual backbone is a necessary prerequisite that prompt search alone cannot substitute for.

Qwen3-VLvision-language model
GEPAMedGemma-4BMIMIC

research, prompting, multimodalΒ· Added 1 Oct 2026, published 30 Sep 2026

wiz.ioarticleπŸ›‘οΈ Security

Securing the Kubernetes Supply Chain: Introducing WizOS Helm Charts

Wiz Research examined the source repositories and CI/CD pipelines behind 1,500 popular Helm charts on Artifact Hub (mapping to 814 unique GitHub repos) and found 61 repos (7.5%) with confirmed supply-chain risk, including 20 charts with CI/CD workflow weaknesses and 25 depending on unmaintained/archived upstream projects. Two disclosed findings illustrate the risk classes: KubeView's go.mod referenced a Go module under a GitHub username that didn't exist, making it hijackable by anyone who registered the name, and Meilisearch's Helm chart repo had a GitHub Actions workflow triggered by PR comments that injected the commenter's branch name into a shell command while skipping author-association checks, letting any GitHub user run commands with a bot token that had push access. The post then pivots to promoting WizOS Helm Charts, Wiz's hardened/signed/CVE-scanned chart catalog built to close these gaps.

KubernetesHelmGitHub Actions+2
KubeViewMeilisearchpwn request+4

Supply Chain, DevSecOps, Cloud & InfraΒ· Published and added 30 Sep 2026

microsoft.comwriteupπŸ›‘οΈ Security

Tracking CVE-2026-73570: unauthenticated command injection on internet-facing mail servers

Microsoft Threat Intelligence tracked in-the-wild exploitation of CVE-2026-73570, an unauthenticated OS command-injection vulnerability in Zimbra Collaboration Suite's SNMP notification path (swatchdog-to-snmptrap), triggerable via a crafted SMTP request when the optional zimbra-snmp package is enabled. The post documents pre-disclosure scanning, JSP webshell deployment, a novel pam_exec/zmmailboxdmgr privilege-escalation chain to root, systemd-based persistence (zimlog.service), theft of zimbraPreAuthKey/zimbraAuthTokenKey via zmlocalconfig and LDAP, lateral movement over Zimbra's SSH identity, a multi-stage Go-based remote-access agent (zimclient2 via zimdown2/agent2.sh), a dedicated mailbox-exfiltration implant, and an AzCopy-based exfiltration attempt, closing with Defender XDR KQL hunting queries and MITRE ATT&CK mapping.

ZimbraMicrosoft Defender XDRMicrosoft Defender+3
CVE-2026-73570ChopperGodzillaWebShell+7

Threat Intel, Blue Team & Detection, AppSecΒ· Added 1 Oct 2026, published 30 Sep 2026

cybersecuritynews.comarticleπŸ›‘οΈ Security

OperTraitor β€” Kubernetes Operator RBAC Privilege-Escalation Scanner

OperTraitor is an open-source tool from Palo Alto Networks that scans Kubernetes operator RBAC manifests (from local installs and the OperatorHub catalog) and uses an LLM-powered analysis engine to flag mismatches between an operator's stated purpose and its actual granted permissions, scoring risk from 1-10. The research behind it found over 5% of examined operators request excessive permissions, including a case in IBM's Prometurbo operator (used with IBM Turbonomic) that had cluster-wide access to Secrets, leading to CVE-2026-6389 (CVSS 8.8) after responsible disclosure, and a separate finding of broad Secrets/RBAC access in the Datadog operator.

KubernetesDatadogIBM Turbonomic
CVE-2026-6389IBM PrometurboOperatorHub+2

Cloud & Infra, AI SecurityΒ· Added 2 Oct 2026, published 30 Sep 2026

decrypt.coarticle🧠 AI

OpenAI Gave AI Agents Their Own Computers at DevDay 2026. Here's Everything It Announced

Roundup of OpenAI DevDay 2026 announcements: Dots, always-on cloud hosted agents running on GPT-6 Astra and the newly open sourced Codex harness that connect to thousands of apps; GPT-6.1 Sol, a workhorse model priced at one fifth of Astra tokens while nearly matching it on agentic coding and computer use; and Ultrafast, a premium speed tier up to 8x faster in Codex on Cerebras hardware, bundled with a new Pro 500 plan. Also covers a shared human plus agent workspace called ChatGPT Space, a fast fixed choice Decisions API, Codex Security Cloud for scheduled repo vulnerability scanning and patching, an Agents API adding computer use and multi agent context compaction tooling, Private Intelligence with zero data retention and confidential computing inference coming this fall, and marketplace and plugin features such as Sign in with ChatGPT and OpenAI Marketplace.

CodexGitHubAWS+1
OpenAIGPT-6 AstraGPT-6.1 Sol+18

agents, coding-agents, modelsΒ· Added 30 Sep 2026, published 29 Sep 2026

github.comrepoπŸ›‘οΈ Security

garak v0.17.0 β€” LLM vulnerability scanner release

Release notes for garak v0.17.0, NVIDIA's open-source LLM vulnerability scanner used for red-teaming and probing models for jailbreaks, prompt injection, data leakage and other failure modes. The release adds an EU AI Act risk-category mapping to tag and group probe results, plus fixes to detectors (agent_breaker judge verdict validation, packagehallucination import parsing, MarkdownExfilContent divide-by-zero, TriggerListDetector alignment) and probes (badchars ASCII selection, Markdown exfiltration link templates), along with Ollama generator improvements and dropped Python 3.10 support in favor of 3.13.

OllamaPython
EU AI ActAgentBreakerIntentProbe+2

AI SecurityΒ· Added 29 Sep 2026

huggingface.corepo🧠 AI

Ternary-Bonsai-2-27B: 27B model compressed to ~1.75 bits/weight, 98.2% of FP16 quality retained

Ternary-Bonsai-2-27B is a 27B-parameter reasoning model (built on Qwen3.8-27B) quantized to true ternary weights ({-1,0,+1}) at ~1.72 bits/weight, shrinking it from ~54GB FP16 to ~5.95GB while retaining 98.2% of FP16 benchmark quality (84.78 vs the conventional sub-4-bit IQ2_XXS build's 72.59). It uses a Hadamard-rotated weight basis and ships two GGUF packing formats (PTQ1_0 dense trits, PQ2_0 2-bit slots) that require a custom llama.cpp/MLX kernel fork since stock llama.cpp cannot decode them correctly. The card includes per-category benchmark breakdowns (math, coding, agentic tool calling), cross-platform throughput/power measurements (Apple M5 Pro/Max, RTX 5090, L4, H100/A100/Blackwell), and an "intelligence density" metric comparing capability retained per GB against FP16 and other quantizations.

GGUFllama.cppvLLM+8
Prism MLGemma-4-31BMMLU-Redux+3

models, inferenceΒ· Added 29 Sep 2026

simonwillison.netwriteupπŸ›‘οΈ Security

OpenAI DevDay 2026 live blog

Simon Willison's live-blogged notes from OpenAI DevDay 2026 cover a raft of product launches (the "dots" personal agent, GPT-6.1 Sol, Ultrafast inference, ChatGPT Sites, GPT-Live), but the security-relevant core is the Codex Security session: OpenAI describes an internal "Defense Factory" security sprint that fixed 53 critical findings in a day, and launches a major Codex Security Cloud upgrade plus an open-source Codex Security CLI. The tool builds a security knowledge base, reads per-repo SECURITY.md threat-model files, runs a looping scanner, deduplicates findings (36% of their internal findings were duplicates), and can auto-generate patches/PRs validated by a "verify-fix" adversarial agent (1% rollback rate).

OpenAI CodexChatGPTOpenAI
Codex Security CloudCodex Security CLIDefense Factory+6

AI Security, DevSecOpsΒ· Added 7 Oct 2026, published 29 Sep 2026

arxiv.orgpaperπŸ›‘οΈ Security

When One Leak Pays Forever: Context Binding and the Price of Deterring Collusion

This arXiv paper models collusion in threshold-encrypted mempools, where a quorum of a decryption committee can sell its decryption capability to a front-runner and profit repeatedly as long as the leaked key keeps decrypting future blocks. The authors derive that deterrence requires a penalty (e.g., slashable stake) covering the largest discounted value a single leak can reach, show constant penalties cannot deter unbounded reuse without key rotation, formulate the cheapest deterring stake profile as a covering linear program, and argue per-epoch keys drastically cut the required stake versus a key valid for its whole lifetime. They calibrate the model on Ethereum front-running data and place the Ferveo and Shutter threshold-encryption protocols within it, with extensions to sealed-bid auctions, multi-authority voting, and federated learning under a shared key.

EthereumFerveoShutter
maximal extractable value

BlockchainΒ· Added 2 Oct 2026, published 29 Sep 2026

arxiv.orgpaper🧠 AI

Many Eyes, One World: Feed-Forward 3D Reconstruction from Mixed Cameras

MEOW is a feed-forward 3D reconstruction model that jointly predicts metric pointmaps and camera poses from N-view image tuples mixing perspective, fisheye, and full 360Β° panoramic images in a single forward pass, without any camera calibration, distortion parameters, or camera-type labels supplied. It keeps a perspective-pretrained backbone and adapts it to heterogeneous cameras purely through a procedural synthetic data engine that renders scenes across a continuous manifold of camera models with exact rays, depth, and verified covisibility, then transfers zero-shot to real captures, beating the Wid3R baseline (79.9 vs 53.8 mAA@30 on heterogeneous 2D3DS tuples even when Wid3R is given ground-truth camera types) and scoring 79.4 AUC@30 on a new laser-scanned mixed-camera benchmark.

MEOWWid3R2D3DS

research, multimodalΒ· Added 29 Sep 2026, published 28 Sep 2026

developer.nvidia.comarticleπŸ›‘οΈ Security

NVIDIA Open Agent Safety Platform: A Reference for Continuous In-Silicon Agent Monitoring

NVIDIA introduces the "Open Agent Safety Platform," a reference architecture for continuous, hardware-rooted monitoring of autonomous AI agents, built around its open-source OpenShell runtime (Apache 2.0) which sandboxes agents with kernel-level isolation and verifiable, pre-execution policy enforcement. The piece lays out five design principles (verifiable policy, out-of-band enforcement, controlling the path to the model as the kill switch, scaling authority with reasoning inspection, shared responsibility across labs/enterprises/hardware providers) and describes how NVIDIA Sentry extends this into BlueField DPU/DOCA hardware to give out-of-band, line-rate observability and identity governance for agent fleets, motivated by recent reports of frontier-lab agents breaking out of evaluation sandboxes. It targets "agent drift" β€” departure from intended task/constraints β€” as something that cannot be trained away and requires independent, agent-unaware controls.

NVIDIA OpenShellNVIDIA SentryNVIDIA BlueField+1

AI SecurityΒ· Added 29 Sep 2026, published 28 Sep 2026

arxiv.orgpaperπŸ›‘οΈ Security

Certified Multi-Source Integrity for Structured Agent Actions

This arXiv paper proposes a certifier for structured, privileged agent actions such as paying an invoice, assembled from potentially corrupted documents and tool outputs, formalizing when multi-source corroboration can be trusted under indirect prompt injection. It uses a corruption-radius rule counted via minimum hitting sets over corruption-distinct evidence classes so laundered or re-published copies cannot fake a quorum, plus deterministic reconciliation and trusted anchors for single-sourced fields. Evaluated on 70,966 sanctions entities and 450 software-supply-chain provenance records, and against five LLM agents where a realistic injection fools all but one model and existing action-gating or provenance baselines are broken while the certifier admits no unsafe action.

LLM

AI SecurityΒ· Added 2 Oct 2026, published 28 Sep 2026

github.comrepoπŸ›‘οΈ Security

SpecterOps/Blacklight β€” local AI agent attack surface mapping toolkit

Blacklight is a SpecterOps toolkit for endpoint forensics on AI coding agents, split into Scout (bounded metadata/filesystem triage across Codex, Claude Code, Cursor, Antigravity CLI, and Grok that finds candidate session artifacts without reading their contents) and Session Analysis (a Python CLI that parses selected JSONL/SQLite session downloads from Codex, Claude Code, Cursor, and Antigravity CLI into ranked, redacted local reports). It's built for investigators who need to identify and review AI agent session history on a host β€” surfacing config, auth metadata, and high-value indicators β€” while explicitly leaving secret scanning to external tooling; paths are informed by SpecterOps' Endpoint AI Agent Abuse (EAA) technique catalog.

Claude CodeCodexCursor+3
Endpoint AI Agent Abuse (EAA) technique catalog

Blue Team & Detection, AI SecurityΒ· Added 27 Sep 2026

x.comtoolπŸ›‘οΈ Security

Manny M. (Vicente Traditor Mancebo) πŸ’€ (@sargexd) on X

AKCA is an open-source Dynamic Application Security Testing (DAST) scanner written in Go, aimed at evidence-oriented web security testing. It combines HTTP and browser-assisted crawling, JavaScript analysis, API import support, adaptive active testing, and passive inspection to find vulnerabilities in web applications.

Go
AKCA

AppSecΒ· Added 30 Sep 2026, published 27 Sep 2026

github.comrepoπŸ›‘οΈ Security

garak v0.17.0 β€” adds EU AI Act risk-category mapping

garak is NVIDIA's open-source LLM vulnerability scanner that runs probes/detectors for jailbreaks, prompt injection, PII leakage, package hallucination, markdown exfiltration and more against LLM targets. This v0.17.0 release adds a new EU AI Act risk-category mapping to tag and group probe results by the Act's risk categories, alongside fixes to the agent_breaker judge, markdown-exfiltration detectors, Ollama auth/generation support, and dropped Python 3.10 in favor of 3.13 support.

garakOllamaAWS Bedrock+2
EU AI Act

AI SecurityΒ· Added 26 Sep 2026

github.comrepoπŸ›‘οΈ Security

Agent Threat Rules (ATR) β€” open detection-rule standard for AI agent threats

Agent Threat Rules (ATR) is an open, versioned YAML rule format (ATR-YYYY-NNNNN scheme) for detecting AI-agent runtime threats β€” prompt injection, tool-poisoning, malicious SKILL.md content, and MCP exchange abuse β€” evaluated by a reference TypeScript engine (with a Python wrapper) shipped as an npm/pip package, CLI, GitHub Action, and Docker scanner with SARIF output. The project positions itself as "Sigma for agent threats," maps rules to OWASP Agentic/LLM Top 10, MITRE ATLAS, and NIST AI RMF, and publishes an extensive (and unusually self-critical) benchmark suite against corpora like garak, PromptBench, and PromptInject, including documented harness bugs and withdrawn recall figures.

Model Context ProtocolnpmTypeScript+3
CVE-2026-26030CVE-2026-25592OWASP Top 10 for Agentic Applications+2

AI SecurityΒ· Added 26 Sep 2026

github.comrepoπŸ›‘οΈ Security

graygnatconsole/mcp-audit-tool

mcp-audit-tool is a dependency-light Python CLI that statically scans Claude Desktop, Cursor, Windsurf, Cline, Zed, and VS Code MCP configuration files for security issues, including hardcoded secrets, unpinned/rug-pull packages, pipe-to-shell installers, tool-poisoning via hidden instructions in tool descriptions, filesystem servers rooted at '/', and unauthenticated plaintext HTTP MCP endpoints. It auto-discovers configs across macOS/Linux/Windows, produces a security score/grade plus SARIF 2.1.0 output for GitHub Code Scanning, and is built around the OWASP MCP Top 10 categories with a CI/CD example that fails builds on severity thresholds. The roadmap adds live server probing over stdio/SSE for runtime rug-pull detection and an ML-based prompt-injection classifier for tool descriptions.

Model Context ProtocolClaude DesktopCursor+7
OWASP MCP Top 10

AI Security, DevSecOpsΒ· Published and added 26 Sep 2026

thehackernews.comarticleπŸ›‘οΈ Security

Agentjacking Attack Tricks AI Coding Agents Into Running Malicious Code

Researchers at Tenet Security disclosed Agentjacking, an attack abusing Sentry's public write-only DSN credential to inject crafted error events containing markdown-formatted malicious instructions. When a developer asks an AI coding agent to fix unresolved Sentry issues, the agent retrieves the poisoned event via the Sentry MCP server, cannot distinguish it from legitimate diagnostic guidance, and executes attacker-controlled code with the developer's full privileges. Tenet found over 2,388 organizations with exposed injectable DSNs and reported an 85 percent exploitation success rate in controlled tests; Sentry acknowledged the flaw but declined to fix it beyond filtering one specific payload string.

Model Context ProtocolSentryClaude Code+1
AgentjackingTenet SecurityRon Bobrov+2

AI SecurityΒ· Added 26 Sep 2026

ccb.belgium.beadvisoryπŸ›‘οΈ Security

Warning: Vulnerability in Starlette framework and related frameworks like FastAPI exposes millions of servers to authentication bypass, Patch Immediately! | CCB Belgium

Belgian CCB advisory on CVE-2026-48710 ("BadHost", CVSS 6.5), an authentication bypass in Starlette versions before 1.0.1. The Host header was not validated when request.url was rebuilt, so request.url.path could differ from the routed path. Middleware and endpoints that enforce access control on request.url could therefore be bypassed. The flaw affects FastAPI, LiteLLM, vLLM, MCP servers and other Python LLM infrastructure, and may expose stored third-party credentials. The advisory recommends upgrading to 1.0.1 or later and increasing monitoring, and links to the badhost.org scanner and to the GitHub, OSTIF, X41 D-Sec and Ars Technica write-ups.

StarletteFastAPILiteLLM+3
CVE-2026-48710BadHostCCB+3

AppSec, AI SecurityΒ· Added 26 Sep 2026

arxiv.orgpaperπŸ›‘οΈ Security

Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners

This arXiv paper benchmarks three open-source ML model security scanners β€” ModelScan, ModelAudit, and Fickling β€” against a 170-artifact synthetic corpus of Pickle and PyTorch files spanning 145 specimen families, distinguishing whether a scanner merely produces a usable security verdict from whether that verdict is correct. ModelAudit reached a definitive judgment on 100% of labeled families versus 81.5% for Fickling and 49.6% for ModelScan, while ModelScan was perfect (100% precision/recall/F1) whenever it did complete analysis, and for the 48 malicious families ModelScan failed to finish, both ModelAudit and Fickling still caught them. The paper argues standard F1-style metrics hide this coverage/availability gap and that tool combination, not any single scanner, yields the best real-world detection.

PyTorchModelScanModelAudit+1

AI SecurityΒ· Added 26 Sep 2026

arxiv.orgpaperπŸ›‘οΈ Security

A First Measurement Study on Authentication Security in Real-World Remote MCP Servers

The first large-scale measurement study of authentication security across real-world remote MCP servers, scanning 7,973 live deployments and finding 40.55% expose tools with no authentication at all. For the 119 testable OAuth-enabled servers, the authors built a semi-automated (passive traffic inspection + active dynamic probing) detection framework and derived a taxonomy of nine flaw types across four categories β€” three MCP-specific (open client environments, dynamic client registration, delegated authorization) and conventional OAuth misconfigurations β€” finding every tested server had at least one flaw, with dynamic client registration flaws hitting 96.6% of servers and leading to information leakage or account takeover; the work resulted in 9 CVEs via responsible disclosure.

Model Context ProtocolOAuth

Identity & Access, AI SecurityΒ· Added 26 Sep 2026

github.comrepoπŸ›‘οΈ Security

git-pkgs β€” dependency history & supply-chain analysis for git repos

git-pkgs is a Go rewrite of a Ruby tool that adds a git subcommand for tracking dependency changes across a repository's history, indexing manifests/lockfiles from 36+ package managers (npm, RubyGems, Cargo, PyPI, Maven, Composer, Go modules, etc.) into a local SQLite database. Beyond history/blame/diff, it offers supply-chain security commands: `vulns` (OSV-based CVE scanning with SARIF output for GitHub code scanning, plus blame/praise/exposure for remediation metrics), `licenses` (with drift detection and CI-friendly exit codes), `deprecated`, `provenance` (trusted-publishing/attestation checks), `integrity` (lockfile hash drift detection), `maintainers`/`health` (via ecosyste.ms metadata), and `sbom` export in CycloneDX/SPDX. It also supports a dependency-aware `bisect` to find when a vulnerability, license change, or capability (e.g. network access) was introduced, and ships GitHub Actions for CI integration.

npmSBOMOSV+3
CVE-2024-1234PURL

Supply Chain, DevSecOpsΒ· Added 25 Sep 2026

depthfirst.comarticleπŸ›‘οΈ Security

Building a Faster, Cheaper Vulnerability Scanner With Jev | depthfirst

depthfirst describes a vulnerability scanner built on Jev, a classifier architecture that returns probabilities per option instead of generating tokens. The harness splits a repository into chunks, triages likely vulnerable code, then asks parallel true/false questions per CWE and for the attacker input path. Jev costs $0.042 per million input tokens, a scan takes about 2 seconds, and the context window is 32k tokens. Limitations include no multi-component reasoning.

JevLLM
depthfirstdfbenchGPT-5.6 Luna+1

AI Security, AppSecΒ· Added 29 Oct 2026, published 25 Sep 2026

arxiv.orgpaper🧠 AI

NEUROTESTGEN: Neuro-Symbolic Guided Test Generation with Large Language Models

NEUROTESTGEN is a hybrid test generation approach that combines symbolic execution (via the Z3 SMT solver) with LLM-driven test synthesis to reach target lines and branches for structural code coverage. It uses Z3 to derive path constraints as a guidance specification, has an LLM synthesize concrete executable tests from that specification (falling back to LLM-inferred constraints for object-related conditions SMT solvers cannot handle), and iterates with feedback until coverage goals are met. Evaluated across Llama 3.3 70B, GPT-4o Mini, Claude 3.5 Haiku, and Claude Sonnet 4.6, it outperforms prior state-of-the-art on a standard benchmark.

Z3Llama 3.3 70BGPT-4o Mini+2

research, evalsΒ· Added 26 Sep 2026, published 24 Sep 2026

thehackernews.comarticleπŸ›‘οΈ Security

AI-Assisted HTTP Terminator Finds Novel HTTP Desync Techniques and Apache Zero-Day

PortSwigger researcher James Kettle built HTTP Terminator, an AI-assisted system (using Claude for extraction/test-case generation and Claude Code as an investigator agent) that ingested 138 HTTP/SMTP RFCs, split them into ~15,000 fragments, and generated 30,000 candidate HTTP desync vectors, testing them against authorized bug-bounty targets and finding ~700 vulnerable hosts. The research produced new desync triggers, a dual-matching Content-Length pattern, a "dangling-byte" technique to make response queue poisoning reliable, and the broader "Shared-Parser Confusion" concept, plus a separately human-guided discovery of a zero-day in Apache Traffic Server (CVE-2026-63078, unverified in public CVE/NVD records as of publication). PortSwigger has open-sourced HTTP Terminator, and separate researchers released public CRLF-desync tooling (crlf-desyncs, crlf-powered-desync-scanner).

ClaudeClaude CodeApache Traffic Server+1
CVE-2026-63078James KettlePortSwigger+6

AppSec, AI Security, Offensive SecurityΒ· Added 24 Sep 2026

github.comrepoπŸ›‘οΈ Security

https://github.com/akha-security/akca

AKCA is an open-source, Go-based Dynamic Application Security Testing (DAST) scanner that combines HTTP and headless-browser crawling, JavaScript/AST analysis, API spec import (OpenAPI, GraphQL, gRPC, etc.), and adaptive active testing across a very broad set of vulnerability classes including SQL injection, XSS, SSRF, IDOR/BOLA, SSTI, JWT/OAuth flaws, race conditions, and cloud/CI exposure. It emphasizes evidence-oriented verification β€” replaying promising signals against baselines, negative controls, and OAST callbacks before promoting them to findings β€” and exports Burp-style HTTP evidence in HTML, JSON, CSV, Markdown, and SARIF reports. Positioned as a transparent, single-developer alternative inspired by but not claiming parity with Acunetix, Invicti/Netsparker, or Burp Suite Professional.

GoBurp SuiteSARIF+3
IDORBOLASSRF+1

AppSecΒ· Added 2 Oct 2026, published 23 Sep 2026

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