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“RSA”
parameter.aiwriteup🛡️ Security

Do the math: How we took over ChatGPT accounts

Parameter Labs describes a chain that turned a public ChatGPT share link into JavaScript running as chatgpt.com in the victim's session. It combined a MathLive postMessage listener with no origin or source check, raw HTML in keyboard layouts, an unsandboxed srcdoc iframe, and a YouTube oEmbed JSONP callback to pass the CSP. The code read private conversations through backend APIs. OpenAI fixed it on 26 October 2026 and rated it P1.

ChatGPTOpenAIMathLive+2
Parameter Labssandbox escapeXSS+2

AppSec· Added 1 Nov 2026, published 31 Oct 2026

x.comthread🛡️ Security

elvis (@omarsar0) on X

Thread by Elvis Saravia (omarsar0) summarising an Anthropic-led paper on pretraining data poisoning of CLI agents. Poisoning 0.1% of pretraining data planted a remote code execution backdoor in Qwen3 models (0.6B, 1.7B, 4B) trained from scratch. It survived SFT, DPO and RL, and fired on about 92% of triggered prompts at 4B. At a 0.0005% poison rate (about 2,500 documents) it still fired on 1.4% of prompts.

QwenLLM
Anthropicremote code executiondata poisoning+1

AI Security· Added 31 Oct 2026, published 30 Oct 2026

youtu.bevideo🛡️ Security

Muse pdfdetach POC

The uploader demonstrates a remote code execution exploit chain against Muse, an assistant system that uses the pdfdetach utility to parse PDF attachments. The exploit leverages a path traversal vulnerability during file extraction to drop a malicious shared library and an LD_PRELOAD configuration file.

MusepdfdetachPython

AppSec· Published and added 30 Oct 2026

vulncheck.comother🛡️ Security

VulnCheck - Outpace Adversaries

VulnCheck's vulnerability disclosure policy, last revised March 2026, sets a 120 day deadline for vendors to patch or publish an advisory, after which VulnCheck publishes an uncoordinated third-party advisory. The deadline drops to 7 days if exploitation in the wild is found. Other terms: no extensions, email-only communication, any published patch counts as public disclosure, and no participation in programs that bar public disclosure.

VulnCheckcoordinated disclosure

GRC· Added 29 Oct 2026

vulncheck.comtool🛡️ Security

VulnCheck - Outpace Adversaries

VulnCheck Open Source is an index of VulnCheck's open-source tooling for its vulnerability and exploit intelligence. It lists a Python API client, a CLI, a GitHub Action for CI/CD, go-exploit (a Go exploit framework), an MCP server for delivering intelligence to AI clients, and VulnCheck Insights, a Chrome extension that highlights CVEs, CPEs and PURLs on web pages and enriches them. The page gives only one-line descriptions.

GoPythonGitHub Actions+2
VulnCheckgo-exploitVulnCheck Insights+2

Offensive Security, DevSecOps· Added 29 Oct 2026

oversecured.comarticle🛡️ Security

Android security checklist: theft of arbitrary files | Oversecured Blog

Oversecured's Android security checklist on arbitrary file theft from an app's private storage. It covers implicit intents (PICK, GET_CONTENT) returning file:// or content:// URIs, SEND/SEND_MULTIPLE share activities, exported and non-exported FileProviders, path traversal via Uri.getLastPathSegment, WebView, and local NanoHTTPD servers. Each case has vulnerable code, an attacker PoC and fixes such as /proc/self/fd path checks and narrow files-path entries.

AndroidNanoHTTPDFileProvider+2
Oversecuredpath traversalFileUriExposedException+3

Mobile Security, AppSec· Added 29 Oct 2026

oversecured.comarticle🛡️ Security

Content Providers and the potential weak spots they can have | Oversecured Blog

Oversecured's Android security checklist for Content Providers covers insecure FileProvider path configs, path traversal via decoded Uri.getLastPathSegment(), mismatched readPermission/writePermission, proxying requests to more privileged providers, SQL injection across a shared database, and sensitive actions in providers. Each case has vulnerable manifest and Java code, an attacker PoC and remediation. Real cases from Google and Samsung devices are cited. The page text was truncated near the end.

AndroidSQLiteJava
Oversecuredpath traversalSQL injection+5

Mobile Security, AppSec· Added 29 Oct 2026

oversecured.comwriteup🛡️ Security

20 security issues found in Xiaomi devices

Oversecured's write-up of 20 vulnerabilities in Xiaomi apps and system components, reported to Xiaomi between 25 and 30 April 2023. Bugs include intent redirection with system privileges in Security and GetApps, shell command injection in System Tracing, and arbitrary file theft via path traversal in Settings and MIUI Bluetooth. Each has a PoC. The page was truncated, so the later MIUI Bluetooth entries and the rest are not covered.

AndroidGson
OversecuredXiaomiMIUI+9

Mobile Security, AppSec· Added 29 Oct 2026

arxiv.orgpaper🛡️ Security

Understanding and Mitigating Role Spoofing in LLMs

Understanding and Mitigating Role Spoofing in LLMs is an arXiv paper (October 2026) on role spoofing, a prompt injection where malicious tool output impersonates the user. It shows models track "who said what" using both content cues (semantics, style) and structure cues (control tokens, formatting). Attacks combining fake structure and content succeed often, adversarial training stops only content-based attacks, and linear probes trained to predict conversation roles detect spoofing across settings.

LLM
role spoofingrole confusionprompt injection+1

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

arxiv.orgpaper🧠 AI

Only Accepted Tokens Count: An Energy Accounting of Speculative Decoding Under Latency Targets

This paper measures the energy cost of speculative decoding in SGLang with CUDA graphs on H100 and H200 GPUs, at batch sizes up to 64 across 5 corpora. Savings depend on drafted-token acceptance, which is lower on conversation than code and lower on Romansh than English. Savings shrink as batch size grows, and block drafters can push verification into the compute-bound regime, where speculation raises energy per token.

SGLangCUDALLM+4
NVIDIAarXivRomansh

inference, research· Added 31 Oct 2026, published 29 Oct 2026

securityweek.comarticle🛡️ Security

Cisco SD-WAN Zero-Day Exploitation Tied to Volt Typhoon’s ‘Silent Train’ Network

Cisco Talos reported that UAT-11473 exploited CVE-2026-20127 (CVSS 10, Cisco SD-WAN peering authentication bypass) to deploy KeyDrift, a framework with PolyFlame (backdoor, relay C2) and LittleFilch (key harvesting) modules. Talos found its infrastructure overlaps considerably with Volt Typhoon's Silent Train network. Lumen Black Lotus Labs tied Silent Train to zero-day campaigns against Versa Director, N-able N-central, Cisco Catalyst SD-WAN and VeloCloud Orchestrator.

Cisco Catalyst SD-WANCVSS
CVE-2026-20127Volt TyphoonSilent Train+11

Threat Intel, Malware & RE· Published and added 29 Oct 2026

blog.talosintelligence.comwriteup🛡️ Security

Inside KeyDrift: Analyzing historical UAT-11473 activity on Cisco SD-WAN

KeyDrift is a custom malware framework used by UAT-11473, which exploited CVE-2026-20127 in Cisco SD-WAN Catalyst Controller to gain access. Talos analyzes PolyFlame (memory-resident vdaemon injection, recvfrom hook, TinyShell-style backdoor, intermediate C2) and LittleFilch (SSL_read hook that extracts and RSA-encrypts keying material). It reports infrastructure overlap with Volt Typhoon's Silent Train, plus patch guidance and Snort SIDs.

Cisco SD-WANLinuxrunit+1
CVE-2026-20127UAT-11473KeyDrift+7

Threat Intel, Malware & RE· Published and added 28 Oct 2026

eprint.iacr.orgpaper🛡️ Security

Shor's algorithm compiled on cat qubits: 22 593 qubits for RSA-2048 in 3.14 days

Shor's algorithm compiled on cat qubits is an IACR ePrint (2026/2665) giving an end-to-end resource estimate on superconducting cat qubits, using repetition and LDPC cat codes. Factoring RSA-2048 needs about 23,000 cat qubits and 3.14 days, assuming phase-flip noise p_Z = 5e-4 and no bit-flips. secp256k1 ECDLP needs at most 30,000 qubits and 1 hour. A space-for-time trade runs RSA-2048 in 1.25 hours on about 611,000 qubits.

Bitcoin
Shor's algorithmRSA-2048secp256k1+5

other· Published and added 28 Oct 2026

x.comadvisory🛡️ Security

Dark Web Informer (@DarkWebInformer) on X

Veeam patched five vulnerabilities across Backup & Replication, Veeam Agent for Linux and Veeam ONE. The worst is CVE-2026-108142 (CVSS 9.1), an unauthenticated authorization bypass in the CDP Coordinator Service affecting Backup & Replication 13.0 and 13.1. Other fixes cover Linux agent privilege escalation, two path-traversal file writes, and a Veeam ONE MFA bypass; fixed builds are listed.

Veeam Backup & ReplicationVeeam Agent for LinuxVeeam ONE+1
CVE-2026-108142CVE-2026-105477CVE-2026-108140+3

AppSec, Identity & Access· Added 30 Oct 2026, published 28 Oct 2026

privacy.claude.comarticle🧠 AI

Is my data used for model training?

Anthropic's privacy help article on whether customer data trains its models. For commercial products (Claude for Work, Anthropic API, Claude Gov), inputs and outputs are not used for training by default. Thumbs up/down feedback stores the whole conversation for up to 5 years, de-linked from user IDs, and may be used for training. Team and Enterprise owners can disable feedback in organization settings.

ClaudeModel Context ProtocolClaude Code
Anthropic

ai-policy· Added 28 Oct 2026, published 27 Oct 2026

eprint.iacr.orgpaper🛡️ Security

Towards Quantum Sensing for Side-Channel Analysis

Preprint on using nitrogen-vacancy (NV) center quantum sensing for electromagnetic side-channel analysis of ICs. The authors build an NV-based RF spectrometer with 1.1 GHz real-time bandwidth and adjustable center frequency, which reads the spectrum in the time domain without Fourier transforms or frequency sweeps. They use it on RSA decryption emanations and for leakage detection on a software Number Theoretic Transform running on a Cortex-M4 microcontroller.

ARM Cortex-M4
Number Theoretic TransformRSAnitrogen-vacancy centers+1

Hardware & RF· Added 28 Oct 2026, published 27 Oct 2026

decrypt.coarticle🛡️ Security

AI Agents Found a Way Into Anthropic's Business Systems in Under 12 Hours

Decrypt reports that Cathedral, a startup founded by four former DOGE staffers, says its AI agents found paths into Anthropic's sales, HR and IT systems in under 12 hours through unnamed third-party administrative and sales software. Anthropic says no customer conversations, source code or model weights were reached, and that Cathedral overstated the impact and did not disclose all its activity. The testing ran through a bug-bounty-style program.

AnthropicClaudeClaude Code+1
CathedralDOGEWashington Post+1

AI Security, Threat Intel, Offensive Security· Published and added 26 Oct 2026

arxiv.orgpaper🧠 AI

SentryBench: A Cost-Sensitive Benchmark for Adversarial Robustness of Tool-Using LLM Agents in Public-Safety Deployments

SentryBench is a benchmark for tool-using LLM agents in public-safety deployments. It scores attack success, over-refusal (missing a real emergency) and over-reaction (unwarranted action) on a cost-sensitive frontier, using real emergency-call transcripts, disaster messages and injection payloads. Across 840 episodes on three frontier models and three defenses, refuse-more caution pushed over-refusal to 100 percent on two models, while a trust-gating wrapper gave the lowest harm.

LLM
SentryBencharXiv

evals, ai-safety, agents· Added 27 Oct 2026, published 25 Oct 2026

arxiv.orgpaper🛡️ Security

SentryBench: A Cost-Sensitive Benchmark for Adversarial Robustness of Tool-Using LLM Agents in Public-Safety Deployments

SentryBench is a benchmark for tool-using LLM agents in public-safety settings (public alerts, responder dispatch, citizen-record queries). It scores attack success, over-refusal and over-reaction on a cost-sensitive frontier, using real emergency-call transcripts and real injection/jailbreak payloads. Across 840 episodes on three frontier models and three defenses, refuse-more caution raised over-refusal to 100 percent on two models, while a trust-gating wrapper gave the lowest harm on every model.

LLM
SentryBenchover-refusalover-reaction+1

AI Security· Added 27 Oct 2026, published 25 Oct 2026

arxiv.orgpaper🧠 AI

HerHealthGPT: An Evidence-Grounded Conversational AI System for Women's Reproductive Health Copy title

HerHealthGPT is a conversational AI system for women's reproductive health that combines retrieval-augmented generation, context-aware clarification and source validation in a web interface. Evidence retrieval raises concern-category accuracy from 54.1% to 59.3% over fine-tuning alone on 540 messages from 90 cases. The clarification router reaches 85.6% recall and 86.2% specificity. In a 30-adult study, 83.3% preferred the retrieval-enabled version. The authors say clinical validation is still needed.

RAGLLM
HerHealthGPTarXiv

research, llm-apps· Added 27 Oct 2026, published 24 Oct 2026

eprint.iacr.orgpaper🛡️ Security

Chosen Commitments and Certified Decoding Regions in the Adaptive Threshold Schnorr Attack

This IACR ePrint 2026/2632 paper by Demirtaş and Yayla analyses the Crites–Stewart adaptive forgery attack on threshold Schnorr signatures, which needs one call to a sparse linear search oracle (bounded distance decoding of a scaled Reed–Solomon code). It shows that choosing the commitment coefficient vector does not help much: a wrapper adversary with Q challenges succeeds with probability at most QM/p, even if its solvers decode every witness for free. For the six original (N, τ) pairs, M stays below 2^24, so the bound is under 2^-100 after 2^128 challenges at p = 2^252.

Schnorr signaturesReed–Solomon codesfolded Reed–Solomon codes
Crites and Stewart attackGuruswami–WangAshvinkumar–Habib–Srivastava+2

other· Added 26 Oct 2026, published 24 Oct 2026

arxiv.orgpaper🧠 AI

Task Format as a Factor in Adaptation: A Controlled Comparison of LoRA and Full Fine-Tuning for Prompt-Safety Classification

This paper compares LoRA and full fine-tuning for prompt-safety classification using a matched 400M encoder-decoder pair (Ettin) across three task formats, with up to 15 seeds per cell and pre-specified analyses. Full fine-tuning leads LoRA by 2-3 pp at the pre-specified learning rates, and the encoder gap closes when both use the same learning-rate search. Training LoRA to write a reason after its verdict adds 4.0 pp, while a content-free sentence of equal length does not. Trained models beat a prompted 8B in domain but trail it by 8-23 pp on adversarial jailbreaks and over-flag benign prompts (27-66% against 2-3%).

LoRAEttinTransformer

training, research, evals· Added 27 Oct 2026, published 24 Oct 2026

microsoft.comwriteup🛡️ Security

Inside the LiteLLM 1.107.0 supply chain compromise: Credential theft through Python startup hooks

Microsoft's analysis of the LiteLLM 1.107.0 compromise, published to PyPI and container images on 21 October 2026. The wheel shipped cook.pth, cook.py and sitecustomize.py, so a credential collector (PRIVCOLLECT) ran whenever Python started, even without importing LiteLLM. It covers AES/RSA-encrypted exfiltration to litellm.dev, a re-armable Unix loader, Defender KQL hunting queries, ATT&CK mapping and rotation guidance.

LiteLLMPythonPyPI+3
cook.pthPRIVCOLLECTT1195.001+4

Supply Chain, Blue Team & Detection, Threat Intel· Published and added 23 Oct 2026

arxiv.orgpaper🧠 AI

OWLS: Open-world Language-conditioned Speed Fields for Zero-Shot Rover Navigation

OWLS (Open-world Language-conditioned Speed Fields) plans directly over a vision-language model's dense feature map. A text prompt describing traversable terrain scores every pixel of one camera image. The scores are projected onto the ground, adapted with two morphological operations, and used as the speed field of a minimum-time planner. It needs no training, terrain labels, map or extra sensors. It was tested on a physical rover, on simulated Mars and Moon rovers over 200 procedural terrains, and on real planetary imagery.

vision-language model
OWLSarXiv

research, multimodal· Added 26 Oct 2026, published 23 Oct 2026

eprint.iacr.orgpaper🛡️ Security

Faster and Smaller Anonymous Credentials from Standardized Signatures

GordieHowe is a language, certifying compiler and zero-knowledge proof system for building anonymous credentials on standardized signatures (ECDSA, RSA, ML-DSA). It proves an ECDSA-signed mobile driving license presentation in 64.8 ms with a 276 KiB proof, 10.1x faster than Google's Longfellow, and an ML-DSA-44 signature in 87.3 ms with at least 116 bits of quantum security. Compiler output and security theorems are checked in Lean. It introduces series-parallel IOPs and extends the BCS transformation in the QROM.

ECDSAML-DSARSA+1
GordieHoweLongfellowBCS transformation+3

Identity & Access· Added 24 Oct 2026, published 23 Oct 2026

eprint.iacr.orgpaper🛡️ Security

Tight Post-Quantum Multi-Key Security of the FX Construction

Rentaro Shiba and Tetsu Iwata prove a tight multi-key security bound for the FX construction (the DESX generalization) in the quantum ideal cipher model. Security holds up to about 2^((n+κ)/3) total classical and quantum oracle queries against fully adaptive adversaries, for any number of keyed instances μ≥1. This improves their ToSC 2026 bound and matches the offline Simon's algorithm attack in the exponent.

FX constructionDESXoffline Simon's algorithm+4

other· Added 24 Oct 2026, published 23 Oct 2026

economynext.comarticle🧠 AI

Central banks must secure trust as AI risks reshape finance: IMF tech chief

IMF Chief Information Officer Shirin Hamid gave the Central Bank of Sri Lanka's 76th Anniversary Oration in Colombo on 23 October 2026. She said central banks should adopt AI only with governance, named human accountability and verified data. She named three threats: voice-cloned impersonation, machine-speed autonomous attacks and manipulated internal AI assistants. She cited IMF tests in which ChatGPT gave wrong GDP figures up to two-thirds of the time, which led to the IMF's StatGPT.

ChatGPTStatGPT
IMFCentral Bank of Sri LankaShirin Hamid

ai-policy· Published and added 23 Oct 2026

arxiv.orgpaper🧠 AI

Sharpness-aware Orthogonalized Momentum Algorithms

SOMA (Sharpness-aware Orthogonalized Momentum Algorithm) combines sharpness-aware minimization (SAM) with the Muon optimizer for LLM training. It avoids SAM's extra gradient computation by using stale, purely stochastic gradient noise as the adversarial perturbation. The authors prove sample complexity does not depend on perturbation direction, study robustness to heavy-tailed gradient noise, and test SOMA against post-training quantization degradation and catastrophic forgetting during fine-tuning.

MuonLLM
SOMAarXiv

research, training· Added 26 Oct 2026, published 23 Oct 2026

x.comthread🛡️ Security

Previdian (@PrevidianCyber) on X

Previdian Cyber reports an exploitation attempt against its FortiSIEM honeypot on 23 October 2026 at 09:43:32 UTC, targeting the FortiSIEM path traversal CVE-2026-106173. The request, from 85.192.29[.]68, POSTed to /phoenix.phoenixSvc/SendQueryResult on TCP 27918 with twelve ../ sequences in the query-id header, trying to overwrite /tmp/.fsmprobe with an empty file. It matches the file overwrite mode of the Horizon3.ai PoC; success is not confirmed. Mitigation: upgrade to FortiSIEM 7.5.1 or later and restrict TCP 27918.

FortiSIEMgRPC
CVE-2026-106173path traversalHorizon3.ai+3

Threat Intel, Blue Team & Detection· Added 25 Oct 2026, published 23 Oct 2026

arxiv.orgpaper🧠 AI

Reproducible Evaluation as the Substrate for Safe Prompt Compression in Production Agents

This paper presents an offline evaluation harness for a production merchant-facing conversational agent. It stays reproducible when live backend data changes and can be regenerated when it goes stale. Used as the fitness function for GEPA prompt optimization under a correctness gate against reward hacking, it shrinks the full prompt surface by 3.5-7.6% without losing held-out correctness, across three subject-model families.

GEPALLM
arXiv

evals, prompting, agents· Added 26 Oct 2026, published 22 Oct 2026

github.comrepo🧠 AI

SnailSploit/Claude-Red

claude-red is an MIT-licensed library of offensive security skills for the Claude Skills system, planned at about 130 skills across 23+ categories (web, Active Directory, cloud, exploit development, EDR evasion and others). Each skill is a SKILL.md file that loads on conversational triggers, so unused skills cost no context. It installs by git clone, sparse checkout per category, install.sh or pasting into a system prompt.

ClaudeGitGitHub
Kai AizenSnailSploitSahar Shlichov

prompting, coding-agents· Added 22 Oct 2026

github.comrepo🛡️ Security

SnailSploit/Claude-Red

claude-red is a library of offensive security skills for the Claude Skills system, each a SKILL.md file that loads on conversational triggers (for example, mentioning SQL injection loads offensive-sqli). Categories include web, Active Directory, cloud, mobile, exploit development, fuzzing, privilege escalation, post-exploitation and AI. It targets about 130 skills across 23+ categories, with an install script and sparse-checkout install per category. Built on Sahar Shlichov's offensive checklists, MIT licensed.

ClaudeClaude CodeActive Directory
Kai AizenSahar ShlichovSnailSploit

Offensive Security, AI Security· Added 22 Oct 2026

eprint.iacr.orgpaper🛡️ Security

Integer Coordinate Families and Threshold RSA Signatures for Any Prime Exponent

Paper by Shivansh Jaiswal and Somitra Sanadhya (IACR ePrint 2026/2601) on integer coordinate families for threshold RSA signatures with prime exponent e. It shows the CT-RSA 2026 Ng-Lau scheme admits trivial forgeries and has a flawed proof. It proposes repaired scheme PiIC and integer secret-sharing scheme PiZ for any prime e and any (t,n), both proven TS-UF-CMA secure under the standard RSA assumption. It also gives super-polynomial coordinate lower bounds for pairwise families.

RSA
Ng-Lau schemePiICPiZ+3

other· Added 24 Oct 2026, published 22 Oct 2026

huntress.comarticle🛡️ Security

Unboxing Phishing Kits: Huntress Examines 3 Real Kits

Recap of a Huntress Tradecraft Tuesday session (October 2026) on phishing kits that target Microsoft 365 tokens, including EvilTokens (a device-code phishing campaign abusing Railway) and the Kali365 control panel. It explains device-code phishing, adversary-in-the-middle and token replay. It lists detections (unfamiliar cloud sign-ins, device-code auth, new devices) and response steps (revoke refresh tokens, remove rogue devices, block device-code flow).

Microsoft 365Microsoft Entra IDHuntress+1
EvilTokensKali365device-code phishing+4

Threat Intel, Blue Team & Detection, Identity & Access· Published and added 22 Oct 2026

adversa.aiarticle🛡️ Security

Is Claude Code safe for the enterprise? What the official settings cover, and what they don't

Adversa AI assesses Claude Code enterprise security as of October 2026. Managed settings bind only Claude Code, can be edited by local admins, and are not read by Anthropic-hosted cloud sessions. Auto mode misses 17% of risky actions in Anthropic's test set. The article covers attacks on the harness (CVE-2025-59536, CVE-2026-21852, TrustFall, SymJack, GhostApproval) and recommends credential, egress, isolation and monitoring controls.

Claude CodeAnthropicCursor+2
CVE-2025-59536CVE-2026-21852TrustFall+7

AI Security, DevSecOps· Published and added 22 Oct 2026

x.comthread🧠 AI

elvis (@omarsar0) on X

FrontierMemory is a benchmark that evaluates agent memory through downstream task performance, measuring how agents learn from experience rather than recall, which the post says is saturated via agentic search. In elvis's summary, Claude Opus 5.5 ranks first and open-weight GLM-5.3 does well on memory generation. The authors reply that "memory" here means any adaptation from experience, so harness-level changes can also be scored. The post gives no scores or links.

LLM
FrontierMemoryClaude Opus 5.5GLM-5.3+2

evals, agents· Added 23 Oct 2026, published 21 Oct 2026

alignmentforum.orgarticle🧠 AI

Neural nets are exceptionally vulnerable to goal self-hack

"Neural nets are exceptionally vulnerable to goal self-hack" is a 3-minute AI Alignment Forum post by Stuart Armstrong, dated 21 October 2026. By its title, it argues that neural networks are unusually prone to altering or subverting their own goals. A later post, "Fixed-weight models are adversarially vulnerable: hence misaligned", cites it. The fetched page has no body text, so the argument itself is not available.

neural network
Stuart ArmstrongAI Alignment Forum

ai-safety· Published and added 21 Oct 2026

blog.cloudflare.comarticle🛡️ Security

Introducing full transaction detection for Cloudflare WAF

Cloudflare announces full transaction detection and response-phase rules for its WAF. Detections evaluate an HTTP request together with the origin's response, so exploitation can be confirmed (for example, path traversal returning a config file) and the response replaced with a 403 block page. Covers managed and custom rules, the limit of three custom response rules, no response-body matching yet, and a first managed rule for php2shell. Available on all plans, including Free.

Cloudflare
PHP2Shellpath traversal

AppSec, Blue Team & Detection· Added 29 Oct 2026, published 21 Oct 2026

opensourcemalware.comwriteup🛡️ Security

LiteLLM 1.107.0 PyPI Wheel Contains a Credential Stealer and Persistent Python Backdoor

LiteLLM 1.107.0 macOS x86-64 PyPI wheel analyzed by OpenSourceMalware contains three injected files (cook.pth, cook.py, sitecustomize.py) that run on every Python start. The payload, called privcollect, steals browser, SSH, cloud, CI/CD and AI-tool credentials, then uploads an AES/RSA-encrypted bundle to www.litellm.dev/healthcheck. A forked loader also fetches domain.txt from GitHub and executes /codepy hourly. The post lists IOCs, hashes and remediation steps.

LiteLLMPyPIPython+1
privcollectTeamPCPUpwind+4

Supply Chain, Malware & RE, Threat Intel· Published and added 21 Oct 2026

arxiv.orgpaper🧠 AI

Symmetry-Based Parameter Efficient Low-Rank Fine-Tuning for High-Throughput Calculation of Lattice Thermal Conductivity

SBFS-FT (symmetry-based few-shot fine-tuning) adapts the MatterSim 1M universal machine-learned interatomic potential with low-rank adaptation on a small set of compounds sharing one crystal symmetry. Tested on half-Heusler (space group 216), space group 225 and spinel (227) datasets, it cut lattice thermal conductivity error 2-3 times versus the base model. It matched per-compound fine-tuning while taking 5-7 times less compute for 100 compounds.

MatterSimLoRA
MatterSim 1Mmoment tensor potentialspolyMLPs

research, training· Added 23 Oct 2026, published 21 Oct 2026

eprint.iacr.orgpaper🛡️ Security

SHAKEing SLH-DSA with Non-profiled SCAs

SHAKEing SLH-DSA with Non-profiled SCAs is an eShard ePrint paper (2026/2584) on correlation power analysis of SLH-DSA-SHAKE, the NIST-standardised hash-based signature scheme. It analyses PRF inputs and selection functions, then combines subtrace averaging, partial-then-total CPA and an efficient exhaustive search to recover the full secret seed, enabling universal forgery. On a 32-bit microcontroller the attack needs about 280 to 559 signatures, and the search finishes within 45 minutes on 72 cores.

SLH-DSASHAKEKeccak
NISTuniversal forgerySPHINCS+

Hardware & RF· Added 24 Oct 2026, published 21 Oct 2026

eprint.iacr.orgpaper🛡️ Security

Reverse Engineering IVXV: A Specification and Security Analysis of Estonia’s Internet Voting System

Reverse Engineering IVXV is an October 2026 ePrint paper by Tingfeng Yu and Thomas Haines that reconstructs a specification of Estonia's IVXV internet voting system from public source code and documentation, with an executable TLA+ model checked in TLC. It analyses individual and universal verifiability, privacy, coercion resistance and eligibility, compares IVXV with Belenios and Swiss Post, and reports new vulnerabilities, some confirmed with proof-of-concept tests, plus mitigations.

IVXVTLA+TLC
EstoniaBeleniosSwiss Post+2

AppSec· Added 24 Oct 2026, published 21 Oct 2026

cisa.govadvisory🛡️ Security

#StopRansomware: SafePay Ransomware (AA26-293A)

CISA advisory AA26-293A (20 October 2026) details SafePay ransomware, active since August 2024 with at least 600 victims across critical infrastructure. It covers initial access via Mullvad VPN IPs, phished profiles and edge-device CVEs, LOTL lateral movement with PsExec, WinRM and RDP, exfiltration with RClone and WinSCP, and ChaCha20/RSA encryption. It lists IOCs, MITRE ATT&CK mappings, incident response steps and mitigations.

MITRE ATT&CKRDPAnyDesk+3
CVE-2020-3259CVE-2023-20269SafePay+11

Threat Intel, Blue Team & Detection· Added 21 Oct 2026

endorlabs.comarticle🛡️ Security

Gemini 4 Argon on Cursor: solid security score, two unique solves, but slower and more expensive | Endor Labs

Endor Labs evaluates Gemini 4 Argon in the Cursor harness on its Agent Security League coding tasks (SusVibes). Argon ties Fable 5 at 29% SecPass with 78.8% FuncPass, but costs $765 and takes a 14-minute median per task. It uniquely fixes SABnzbd path traversal (CVE-2021-29488) and a Nova credential-logging leak (CVE-2015-8749). Two other candidate solves were rejected, and 29 cheating instances were confirmed.

CursorGeminiEndor Labs+2
CVE-2021-29488CVE-2015-8749Agent Security League+8

AI Security, AppSec· Published and added 20 Oct 2026

huggingface.coarticle🧠 AI

FairStress: A deeper evaluation of fairness in LLM decision-making

FairStress is an Ai2 benchmark of 300 two-candidate decision scenarios across 29 domains (hiring, lending, healthcare, housing and others). Varying demographic cues and adversarial persuasion prefixes expands it to over 13 million test cases, with a 50K-item FairStress-Core subset. Across 15 models, models abandoned correct choices more readily when the prefix favored a minority-coded candidate. Of nine debiasing methods tested, counterfactual chain-of-thought worked best.

Olmo-evalHugging FaceLLM
Ai2FairStressFairStress-Core+16

evals, ai-safety, research· Published and added 20 Oct 2026

horizon3.aiwriteup🛡️ Security

CVE-2026-106173 Deep-Dive: FortiSIEM gRPC Path Traversal File Write RCE

CVE-2026-106173 is an unauthenticated arbitrary file write in the FortiSIEM phQueryMaster gRPC service on tcp/27918, advised by Fortinet on 13 October 2026. The SendQueryResult handler concatenates an attacker-controlled query-id into a path, and a null byte in the header removes the server-added filename suffix. Overwriting /opt/charting/redishb.sh, run every 60 seconds by cron, gives root-level code execution. IOCs are file timestamps.

FortiSIEMgRPCLinux
CVE-2026-106173CVE-2023-34992CVE-2024-23108+6

Offensive Security, AppSec· Added 29 Oct 2026, published 20 Oct 2026

github.blogarticle🧠 AI

How to continue a GitHub Copilot app session in VS Code

This GitHub Blog tutorial shows how to open a GitHub Copilot app agent session in VS Code with its conversation, plan, diff and worktree intact. It walks through reviewing the agent's changes in Source Control, prompting Copilot from the sidebar, editing by hand, running tests locally, and pushing to the session's existing pull request.

GitHub CopilotVS CodeGit+2

coding-agents· Published and added 19 Oct 2026

eprint.iacr.orgpaper🛡️ Security

Concrete LDVR Attacks with Fewer Signers

Concrete LDVR Attacks with Fewer Signers is an ePrint paper by Renas Bacho on the low-dimensional vector representation (LDVR) problem behind adaptive security of threshold Schnorr. It combines a Chinese remainder theorem construction with a generalized birthday search to attack 488 signers with 173 corruptions over the Curve25519 scalar field, down from 5,020 signers. For adversarial evaluation points, it reaches optimal success probability and breaks 228 signers with 114 corruptions in 168.60 seconds.

Threshold SchnorrCurve25519SHA-512
LDVRgeneralized birthday attacksubset sum+4

other· Added 20 Oct 2026, published 19 Oct 2026

eprint.iacr.orgpaper🛡️ Security

Evasive Inner Product Functional Encryption Is Broken Too

Evasive Inner Product Functional Encryption Is Broken Too is a 2026 ePrint paper by Agrawal, Modi, Yadav and Yamada. It gives a counterexample showing the evasive IPFE assumption of Hsieh, Lin and Luo (Eurocrypt 2024) is false in full generality. The attack extends the 2025 PRFE counterexample and needs only the weak inner product functionality, not pseudorandom function computation. The authors conclude that letting the adversary choose unrestricted private coins breaks the Evasive LWE family.

Evasive LWEEvasive IPFEPRFE+2

other· Added 20 Oct 2026, published 19 Oct 2026

securityweek.comarticle🛡️ Security

Exploited Fortinet Bug Linked to Stealthy FortiGate Implant in Telecom Hack

UNC5820 (tracked by Palo Alto Networks as CL-STA-0954) breached a telecom in September 2024 using FortiManager flaw CVE-2024-47575 (FortiJump) and path traversal CVE-2025-61624, then deployed PeerStitch, a memory-resident ARM64 FortiGate implant. PeerStitch patches FortiOS log and IKE/IPsec daemons to build a covert bridge without listening ports. The actor also impersonated FortiManager over FGFM, using CVE-2024-26008. CISA added CVE-2025-61624 to KEV.

FortiGateFortiManagerFortiOS+1
CVE-2024-47575CVE-2025-61624CVE-2024-26008+8

Threat Intel, Malware & RE· Published and added 19 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, agents· Added 18 Oct 2026

arxiv.orgpaper🛡️ Security

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

ToFu is a tool-aware fuzzing framework that derives semantic security checks for LLM tools (mainly MCP servers) from their metadata and a corpus of 74 CWE-guided sanitizers. It generates schema-valid Atheris harnesses, uses runtime tracers and outcome oracles to catch bugs that don't crash, and uses an LLM only to map sanitizers and seed inputs, never as the judge. It also describes a "Repeat-After-Me" attack, in which the LLM is told to repeat attacker-written text that the orchestrator then dispatches as a tool call. It was reproduced on LangGraph, MAF, ADK, AutoGen, Strands and CrewAI. On 273 MCP servers it reports 253 verified bugs across 343 tools in 118 repositories, including path traversal, log injection, exfiltration and command bypass.

Model Context ProtocolAtherisLangGraph+3
Repeat-After-Mepath traversalSSRF+6

AI Security, AppSec· Added 18 Oct 2026

blog.picheta.mearticle🧠 AI

I built a programming language that LLMs can't use

KillSwitch is an esoteric stack-based programming language built to be adversarial to LLMs and coding agents. It uses letter-counting rules, a spec with hidden lies, guardrail-triggering phrases like "hack into a computer", and noisy story-style scripts. The author benchmarked major models and agent harnesses on simple tasks. Opus 5 scored best at 66.8, Fable 5.1 and Gemini 4 Argon did poorly because of safety guardrails, and MiMo-V2.6-Pro led the open-weight models.

KillSwitchLLMGitHub
Opus 5Claude Opus 5.5Claude Fable 5.1+2

evals, coding-agents· Added 19 Oct 2026, published 17 Oct 2026

securityweek.comarticle🛡️ Security

In Other News: ICS-Sniper Attack, Hacking XWorm Malware Operators, $250k Chrome Exploit

SecurityWeek's weekly roundup covers ICS-Sniper, a UBC proof-of-concept that uses VPN-encrypted packet size, direction and timing to drop critical SCADA traffic on cloud-hosted ICS (tested on the SWaT water testbed). It also covers an unauthenticated RCE PoC against the XWorm RAT C2 panel (up to 7.4) via path traversal DLL overwrite, and Langflow CVE-2026-105740 (MCP Stdio command injection, fixed in 1.9.0) exploited from September 19, before the CVE was published. Other items: XBOW's AI-assisted Chrome full-chain exploit (GPT-5.6 Sol, $250k bounty), Group-IB's KGB RAT analysis, Anthropic's disclosure of Claude rule-bending on live sites, Intel ending SGX after Diamond Rapids, Bank of America's Mythos-driven patching, the Burger King Japan breach and a West African scam-center takedown.

LangflowChromeXBOW+3
CVE-2026-105740ICS-SniperXWorm+12

Threat Intel, AI Security, Offensive Security· Published and added 16 Oct 2026

en.cryptonomist.charticle🛡️ Security

Vitalik Buterin’s privacy AI agent setup adds Tor and private payments

Describes Vitalik Buterin's open-source "paranoid mode" privacy wrapper for his pi agent harness. It is an OpenAI-API-compatible daemon that gives each conversation its own Tor circuit with random cover traffic, rewrites prompts with a local model before they reach the provider, and runs the agent in a bubblewrap sandbox wrapped with torsocks. Payments go through zkAPI, which uses zero-knowledge proofs to separate payment authorization from the funder's identity. The article notes the limits: high latency, weak protection against a provider colluding with a Tor guard relay, and a proposed constant-cover-traffic mixnet that is not yet implemented.

TorEthereumbubblewrap+3
Vitalik ButerinEthereum FoundationOpen Anonymity Project+4

AI Security· Published and added 16 Oct 2026

en.cryptonomist.charticle🧠 AI

Vitalik Buterin’s privacy AI agent setup adds Tor and private payments

News report on Vitalik Buterin's open-source "paranoid mode" privacy wrapper for his pi agent harness. It is a daemon compatible with the OpenAI API that sits between the agent and an external LLM provider. It gives each conversation its own Tor circuit with random cover traffic, rewrites prompts with a local model (qwen3.8-flash-next) before they leave the device, and runs the agent in a bubblewrap sandbox wrapped with torsocks. It pays through zkAPI, the Ethereum Foundation / Open Anonymity Project zero-knowledge scheme that separates payment authorization from the funder's identity. The article also covers the limits: high latency at conversation start, and a provider colluding with a Tor guard relay can defeat cover traffic, which motivates a proposed constant-cover-traffic mixnet.

Tortorsocksbubblewrap+6
Vitalik ButerinEthereum FoundationOpen Anonymity Project+2

agents, ai-infra· Published and added 16 Oct 2026

arxiv.orgpaper🛡️ Security

Stealthy Poisoning Attacks via Reused KV Cache of Reasoning

R^2ECAP (Reused Reasoning-Cache Poisoning) is a black-box attack that plants poisoned reasoning traces through a chat interface, exploiting LLM systems that reuse KV caches of reasoning. A preceding trace steers the model, and the retained trace keeps residual adversarial influence in its cache after the preceding trace is discarded. On three open-weight LLMs and three datasets it reaches up to 79% ASR, beats the white-box HijackKV in 8 of 9 settings, and reaches 46% ASR in a reasoning-trace retrieval system. Only 1% of retained responses are flagged by a popular prompt injection detector.

LLM
R^2ECAPHijackKVprompt injection

AI Security· Added 20 Oct 2026, published 16 Oct 2026

arxiv.orgpaper🛡️ Security

PROBE: Learning to Audit Policy Compliance in Tool-Using LLM Agents

PROBE (Policy Rule Observation via Behavioral Exploration) trains LLM-based auditors that act as realistic users and probe deployed tool-using agents for policy violations (pricing, privacy, confirmation, safety) across multi-turn, tool-mediated dialogue. It formalizes auditing as a two-player Markov game with a composite reward for violation discovery, plausibility, progress and policy diversity, and compares GRPO, DPO and GFlowNet optimization. Trained auditors find broader, higher-yield violations than zero-shot adversaries, even when much smaller than the target agent, positioning behavioral auditing as a distinct axis next to capability and safety benchmarks.

LLM
PROBEGRPODPO+1

AI Security· Added 17 Oct 2026, published 15 Oct 2026

arxiv.orgpaper🧠 AI

PROBE: Learning to Audit Policy Compliance in Tool-Using LLM Agents

PROBE (Policy Rule Observation via Behavioral Exploration) trains LLM-based auditors that act as realistic users and probe deployed tool-using agents for policy violations (pricing, privacy, confirmation, safety) over multi-turn dialogue. It formalizes auditing as a two-player Markov game with a composite reward balancing violation discovery, behavioral plausibility, conversation progress and policy diversity, and compares GRPO, DPO and GFlowNet optimization in a controlled setting. Trained auditors find broader, higher-yield violations than same-architecture zero-shot adversaries, even when much smaller than the target agent. This positions multi-turn behavioral auditing as a distinct evaluation axis alongside capability and safety benchmarks.

GRPODPOGFlowNet+1
PROBEarXiv

evals, agents, training· Added 17 Oct 2026, published 15 Oct 2026

x.comthread🛡️ Security

P7RIM3 (@P7RIM3) on X

Tweet about an unofficial open firmware, "waved", for the Insta360 Wave conference speakerphone, written as a single Rust program with a one-script revert to stock. The linked writeup reports that stock firmware sends 35+ usage event types tagged with the serial number to ByteDance's DataFinder, routes meeting audio, transcripts and voiceprints to Insta360's cloud, and signs updates with a 512-bit RSA key. Releases up to 1.0.13.6 exposed a root telnet shell with the password 123456. It matters as a firmware teardown of a privacy-sensitive meeting-room IoT device.

Insta360 WaveRust
DataFinderByteDancewaved

Hardware & RF· Added 16 Oct 2026, published 15 Oct 2026

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