Skip to content

133 results for “Exfiltration”

What you seeeverything
  1. How We Took Over ChatGPT Accounts

    Simon Willison summarises Parameter Labs' ChatGPT account takeover chain against the HTML previews (formerly Canvas) sandboxed iframe. A postMessage handler from the MathLive virtual keyboard used innerHTML, letting sandboxed code inject an unsandboxed iframe. A YouTube oEmbed endpoint allowed by the CSP reflected JavaScript, enabling exfiltration of private data via a ChatGPT share URL. OpenAI fixed it and paid a $5,000 bounty.

    simonwillison.netarticlePublished and added 31 Oct 2026🛡️ Security

  2. Was I wrong about open models & cyber risks?

    Interconnects post in which Nathan Lambert revisits his claim that an open-weight release of Claude Mythos in April 2026 would have been survivable. He argues GLM-5.3 already crosses that capability threshold with little visible harm. He cites Epoch AI's GLM-5.3 Firefox file-exfiltration exploit and Joshua Saxe's trend data, and says recent vulnerability waves come mostly from closed models and general AI diffusion.

    interconnects.aiarticlePublished and added 30 Oct 2026🛡️ Security

  3. From help desk impersonation to AD CS abuse: Investigating ESC1 and ESC8 intrusion paths

    Microsoft Threat Intelligence analysis of two human-operated intrusions that began with Teams help desk impersonation and Quick Assist sessions, then diverged at AD CS. Case 1 abused an ESC1 template for privileged certificates and DCSync, with an excluded account later used for Rclone exfiltration. Case 2 used PetitPotam and ESC8 relay to get a domain controller certificate and PKINIT. Includes investigation steps, AD CS hardening and KQL hunting queries.

    microsoft.comwriteupPublished and added 30 Oct 2026🛡️ Security

  4. 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).

    github.comrepoAdded 25 Oct 2026🛡️ Security

  5. 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.

    microsoft.comwriteupPublished and added 23 Oct 2026🛡️ Security

  6. “Next Exploit Opportunities”: How a Threat Actor Used AI to Help Plan and Execute Multiple Types of Cybercrime Activities

    Unit 42 analysis of a threat actor, BUGSTER, who ran the Hermes Agent framework with jailbroken DeepSeek V4 and Cursor to plan and run cybercrime. Activity included a WordPress brute force, a MongoDB exfiltration of over 5,200 student records at an Indian university, VoIP fraud planning, Wi-Fi cracking via Vast.ai GPUs, and crypto whale reconnaissance. The report covers the actor's prompt-level safety override, infrastructure (162.243.3[.]92) and attribution.

    unit42.paloaltonetworks.comwriteupAdded 30 Oct 2026, published 21 Oct 2026🛡️ Security

  7. LiteLLM Compromised, Steals Credentials

    LiteLLM version 1.107.0 was uploaded to PyPI on 21 October 2026 with a credential stealer, and the same build reached GHCR and Docker Hub images. Wiz describes the three dropped files (cook.pth, cook.py, sitecustomize.py), exfiltration to a fake litellm.dev domain, a GitHub dead drop for a second stage, and the malicious commits pushed through the lookalike Berri-AI repository. The last safe version is 1.106.2.

    wiz.iowriteupPublished and added 21 Oct 2026🛡️ Security

  8. LiteLLM PyPI Package and Docker Images Compromised to Steal Cloud and AI Credentials

    LiteLLM 1.107.0 on PyPI and GHCR images shipped Python startup hooks (cook.pth, sitecustomize.py) that steal cloud, SSH, browser and AI-tool credentials, including LiteLLM proxy database credentials. Image build provenance recorded a lookalike Berri-AI/litellm source repository. The post decodes the payload, encrypted exfiltration and GitHub-driven remote loader, and lists containment steps, MITRE ATT&CK mappings and IOCs.

    socket.devwriteupPublished and added 21 Oct 2026🛡️ Security

  9. #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.

    cisa.govadvisoryAdded 21 Oct 2026🛡️ Security

  10. The US orders every civilian agency to rip out DeepSeek, even tools built on it

    DHS Exclusion and Removal Order 2026-01, signed by Secretary Markwayne Mullin on 24 July 2026 and noticed in the Federal Register on 20 October 2026 (docket DHS-2026-0628), bars civilian agencies from buying or running DeepSeek products and third-party products built on DeepSeek. Agencies have 60 days to request exceptions through CISA and must meanwhile monitor traffic, increase logging and add data-exfiltration controls. Military and intelligence national security systems are excluded.

    madrobot.blogarticleAdded 20 Oct 2026, published 19 Oct 2026🛡️ Security

  11. 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.

    arxiv.orgpaperAdded 18 Oct 2026🧠 AI

  12. 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.

    arxiv.orgpaperAdded 18 Oct 2026🛡️ Security

  13. Chinese APT Exploited BeyondTrust Vulnerability as Zero-Day

    SecurityWeek reports that China-linked Armory Castle (UNC5221, Warp Panda) exploited CVE-2026-102764 (CVSS 9.3), an improper origin validation flaw in BeyondTrust Remote Support enabling file operations, as a zero-day from August 29. Mandiant/GTIG observed the Sawfly PHP webshell and Bareclaw SOCKS5 tunneler, root takeover, credential harvesting, log deletion, and abuse of the native file transfer service for exfiltration. Patch BT26-05-RS covers versions through 26.2.3; the actor's earlier edge-device zero-days (CitrixBleed, Ivanti Connect Secure, Dell RecoverPoint) are listed.

    securityweek.comarticlePublished and added 16 Oct 2026🛡️ Security

  14. Victor (@VMG_CU) on X

    A social post summarising Elastic's REF8801 campaign. A fake startup accelerator offered founders free Claude/Gemini credits plus a coding agent. The agent was a repackaged open-source project that set OPENROUTER_BASE_URL to an attacker-controlled endpoint and added its own MCP server, so victims' prompts and code went to the attacker. It shows how a trojanised AI coding agent can hijack the LLM base URL and add an MCP server for exfiltration.

    x.comthreadAdded 15 Oct 2026, published 14 Oct 2026🛡️ Security

  15. Artificial Intelligence (AI) in Cybersecurity, Part 29: Creating Isolated Autonomous Agents for Hacking with NemoClaw

    Hackers-Arise tutorial on NVIDIA NemoClaw, an open-source wrapper that runs OpenClaw agents inside OpenShell sandboxes with kernel-level isolation and declarative YAML network/file policies. It covers OpenClaw's security problems (543 tracked CVEs, 40,000+ exposed instances bound to 0.0.0.0 without auth), caveats such as zero-day RCE and sandbox escapes, and install and TUI testing steps on Kali. It also cites a Cisco AI Defense plus OpenShell case study that blocked simulated exfiltration through a third-party skill.

    hackers-arise.comarticlePublished and added 14 Oct 2026🛡️ Security

  16. Artificial Intelligence (AI) in Cybersecurity, Part 29: Creating Isolated Autonomous Agents for Hacking with NemoClaw

    Hackers-Arise tutorial on NVIDIA's open-source NemoClaw, which runs OpenClaw (and Hermes or LangChain Deep Agents) inside OpenShell sandboxes. OpenShell provides kernel-level isolation and declarative YAML policies for files, credentials and network access. It covers OpenClaw's risks (543 tracked CVEs, 40,000+ exposed instances), an OpenClaw vs NemoClaw comparison, the caveat that sandbox escapes and core-logic zero-days remain possible, and a Docker/Node.js install via the nemoclaw.sh wizard with TUI testing. It also cites the Cisco AI Defense plus OpenShell case study, in which an agent that does security patching was protected against a simulated exfiltration attempt.

    hackers-arise.comwriteupPublished and added 14 Oct 2026🧠 AI

  17. How an assessor could investigate alignment of unreleased AI models

    METR proposes an alignment assessment in which an external assessor studies the worst misaligned actions a developer's near-frontier agents might take, such as unsanctioned hacking, log tampering, collusion or weight exfiltration. It combines a survey of observed incidents with counterfactual simulations and a review of training incentives and overfitting. It lists the access needed (transcripts, checkpoints, interviews) and estimates over $10M in API credits for a two-month investigation, versus about $400K spent over six days on the Hugging Face investigation.

    metr.orgarticleAdded 29 Oct 2026, published 14 Oct 2026🧠 AI

  18. How an assessor could investigate alignment of unreleased AI models

    METR proposes an "alignment assessment" in which an outside assessor investigates the worst misaligned actions a developer's near-frontier internal AI agents might take. It covers surveying logged incidents (hacking, log tampering, collusion, rogue deployments, weight exfiltration), counterfactual simulations, and training-overfitting concerns. It lists required access (transcripts, checkpoints, raw chain of thought) and estimates over $10M in API credits for two months, based on the Hugging Face investigation (about $400K in six days).

    metr.orgarticleAdded 29 Oct 2026, published 14 Oct 2026🛡️ Security

  19. GhostAction Phishing Campaign

    OpenSourceMalware analyzes a targeted phishing email from my-github[.]com (same server 193.32.204[.]199 as GhostAction's CI/CD exfiltration) that impersonated a GitHub new-sign-in alert. Recovered HTML and a HAR show a GitHub reverse proxy that captures passwords and TOTP codes, rewrites GitHub subdomains, and injects JavaScript that silently completes an OAuth device flow with repo, workflow and read:org scopes, then exfiltrates the token to TCP/8443. It includes a per-session redirect controller, mutable redirect behavior seen in URLScan, a victim's audit-log outcome (MFA stopped escalation), IOCs, and response guidance.

    opensourcemalware.comwriteupPublished and added 11 Oct 2026🛡️ Security

  20. GhostAction Returns: Malicious “Security Audit” Workflows Now Mine Credentials from Entire Git Histories

    StepSecurity details a new wave of the GhostAction campaign in which attackers used compromised maintainer accounts of Takashi Kitao (pyxel) and Henry Wu (athenadriver, Uber) to push malicious "Security Audit" GitHub Actions workflows to 345 repositories in minutes. The upgraded payload now runs `git log -p --all` to mine an entire git history (not just current secrets) for thirteen credential patterns including AWS, Anthropic, OpenAI, OpenRouter, GitHub, GitLab, Google, Slack, and SendGrid keys, pairs AWS access key IDs with secret keys via context capture, and exfiltrates everything via raw-IP plain-HTTP POST to 193.32.204.199, bypassing DNS-based defenses. The post includes hunting queries, run-log forensics confirming successful exfiltration from uber/athenadriver, and remediation guidance centered on workflow approval gates and egress allowlisting.

    stepsecurity.iowriteupPublished and added 9 Oct 2026🛡️ Security

  21. Phishing Campaign Abuses Microsoft Power BI to Deploy Rogue RMMs

    Huntress details a phishing campaign that abuses legitimate Microsoft Power BI dashboards (app.powerbi.com) to host a fake "Download Reference" lure that bypasses mail filters trusting the Microsoft domain. Clicking the lure triggers browser/environment fingerprinting and Telegram-bot-based victim telemetry exfiltration via attacker domains (dailylifeproject.site, burnsworth.site, etc.), then silently downloads rogue ScreenConnect installers; a chained CMD/PowerShell script (SCAutoFix.ps1) deploys a second ScreenConnect instance, uninstalls the first for evasion, drops the defense-evasion tool HideUL_x64.exe, and sets a recurring scheduled task before Huntress's SOC intervened.

    huntress.comwriteupPublished and added 7 Oct 2026🛡️ Security

  22. Dan Kornas (@DanKornas) on X

    NuGuard is an open-source AI application safety and security toolkit for agentic AI systems, released under Apache 2.0. It unifies AI-SBOM generation, structural static analysis of the AI stack, and sandboxed adversarial red-teaming (100+ scenarios covering prompt injection, tool abuse, and data exfiltration) into a single CLI workflow, with an automated judge that scores findings by impact and provides remediation guidance.

    x.comthreadPublished and added 7 Oct 2026🛡️ Security

  23. The Vulnerable MCP Project — MCP vulnerability database

    The Vulnerable MCP Project is a curated, continuously growing database of security vulnerabilities and attack techniques specific to the Model Context Protocol ecosystem. Entries cover concrete CVEs (e.g. CVE-2025-68143/68144/68145 in Anthropic's mcp-server-git), transport-layer SDK flaws (cross-client response leakage, missing DNS rebinding protection in the official TypeScript/Python SDKs), unauthenticated/0.0.0.0-bound servers enabling RCE (MCPJam inspector, MCP Inspector, Grafana MCP), command/path injection in dozens of third-party servers (gemini-mcp-tool, mcp-server-kubernetes, Framelink Figma MCP, Zen MCP, filesystem-mcp), SSRF chains reaching cloud metadata (MarkItDown MCP, mcp-fetch-server), and a large set of AI-specific attacks: tool poisoning, trigger-phrase data exfiltration, prompt injection via GitHub issues, Jira and Google Docs, rug-pull tool mutation, and cross-server tool-name collisions. It functions as the de facto vulnerability registry for the MCP ecosystem, useful for tracking disclosed issues before patching or adopting third-party MCP servers.

    vulnerablemcp.inforepoAdded 6 Oct 2026🛡️ Security

  24. | Blog | Endor Labs

    Endor Labs walks through what "sandboxing an AI coding agent" actually means at the OS level, contrasting the approval-prompt model with kernel-enforced isolation. It details how Claude Code, Cursor, and Codex CLI converge on the same primitives without full containers — Apple's Seatbelt on macOS, Landlock plus seccomp on Linux, Job Objects/AppContainer on Windows — and why Anthropic ships an open-source bubblewrap-based runtime with a host-side egress proxy. It argues filesystem isolation and network egress controls are interdependent (citing Anthropic's own sandboxing writeup) and uses the 2025 nx npm supply-chain attack to illustrate why containment, not model-level guardrails, is the real defense against prompt injection and credential exfiltration.

    endorlabs.comarticlePublished and added 6 Oct 2026🧠 AI

  25. Up a Creek Without a Command Line: Mapping an Akira Ransomware Attack | Huntress

    Huntress researchers reconstruct an Akira ransomware attack timeline using forensic artifacts collected after the Huntress agent was installed post-compromise, including Windows Registry Shellbags, Event Logs, and Akira ransomware log files. The attacker used RDP from an unowned workstation, disabled BitDefender via its management console, ran procdump on lsass.exe for credential theft, deployed the GOST tunneling tool for C2/persistence, used RClone for data exfiltration, and executed ransomware via PowerShell commands that deleted volume shadow copies, with Shellbags showing the attacker verifying encryption success.

    huntress.comwriteupPublished and added 6 Oct 2026🛡️ Security

  26. Active Supply Chain Attack: Malicious node-ipc Versions Published to npm

    StepSecurity's AI Package Analyst detected three malicious node-ipc versions (9.1.6, 9.2.3, 12.0.1) published simultaneously on May 14, 2026 by a rogue/compromised maintainer account, injecting an 80KB obfuscated IIFE into the CommonJS bundle that harvests 90+ credential file categories (AWS, Azure, GCP, SSH, Kubernetes, GitHub, Claude AI/Kiro configs, Terraform, etc.) and exfiltrates them via HTTPS and raw DNS TXT queries to a typosquatted Azure-mimicking C2 domain. The writeup includes a full stage-by-stage technical teardown (daemonization, SHA-256 targeting gate on 12.0.1, custom base-16 nibble-reversed obfuscation, dual-channel exfiltration) plus file hashes, network IOCs, and remediation guidance for developers and CI/CD pipelines.

    stepsecurity.iowriteupAdded 5 Oct 2026🛡️ Security

  27. The First 24 Hours: What Happens When Ransomware Lands

    An hour-by-hour ransomware incident response playbook written by UnderDefense CEO Nazar Tymoshyk and published on Huntress's blog, covering confirmation, containment, exfiltration detection, backup/recovery pitfalls, and root-cause investigation in the first 24 hours of an attack. It draws on Mandiant's M-Trends 2026 report (14-day median dwell time, 22-second access-broker-to-ransomware handoff) and CISA's November 2025 Akira advisory (VPN without MFA as primary access vector, exfiltration via FileZilla, WinRAR, WinSCP, RClone, Mega and Ngrok, credential dumping with Mimikatz and LaZagne, PowerShell-based shadow copy deletion) alongside real UnderDefense engagement anecdotes.

    huntress.comwriteupAdded 3 Oct 2026, published 2 Oct 2026🛡️ Security

  28. 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.

    bughunters.google.comwriteupAdded 2 Oct 2026, published 1 Oct 2026🛡️ Security

  29. 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.

    arxiv.orgpaperAdded 2 Oct 2026, published 1 Oct 2026🛡️ Security

  30. From SELECT to SYSADMIN with SQL Copilot (CVE-2026-65669)

    Write-up of a BlueHat Asia 2026 talk on CVE-2026-65669, a critical SQL Server elevation of privilege in Copilot in SQL Server Management Studio. The read-only mode was only a regex classifier (LocalSqlExecutionAccessChecker) and was bypassed with DECLARE @p sysname='sp_executesql'; EXEC @p. The chain used indirect prompt injection through AGENTS.md and CONSTITUTION.md extended properties to take a db_owner to sysadmin, with data exfiltration via xp_dirtree and RestoreVerifyBackupFile.

    embracethered.comwriteupAdded 29 Oct 2026, published 30 Sep 2026🛡️ Security

  31. 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.

    microsoft.comwriteupAdded 1 Oct 2026, published 30 Sep 2026🛡️ Security

  32. Aletheia: Permission-Minimality Testing for Coding-Agent Rules

    Aletheia is a permission-minimality testing framework for coding-agent repository instruction files (rules), which can be weaponized via prompt injection to request unnecessary credential access or data exfiltration while still producing a correct patch. It translates requested authority into a typed language, synthesizes sandbox configurations, and runs tasks under full versus incrementally restricted permissions to produce "dispensability witnesses" that flag suspicious permission requests. On the AIShellJack benchmark it detects all 314 attack inputs with zero false alarms on five benign templates, and on 80 manually verified benign GHAgentFiles rules it raises only 3 false positives (3.75%).

    arxiv.orgpaperAdded 2 Oct 2026, published 30 Sep 2026🛡️ Security

  33. https://aisecurity.zone/

    The AI Security Playbook is a 44-chapter, ~91k-word book by Iaroslav Mezin teaching how to attack, defend, and govern AI/agentic systems end to end, with 49 CVEs mapped across the chapters. Its core framing is that nearly every AI vulnerability is a trust-boundary error — a model reading untrusted data and trusted instructions in the same channel — and it offers a practical three-legged check (private data access + untrusted content ingestion + external communication capability) for deciding when an agentic system is exploitable for data exfiltration.

    aisecurity.zonecourseAdded 2 Oct 2026, published 30 Sep 2026🛡️ Security

  34. garak v0.17.0 — 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.

    github.comrepoAdded 29 Sep 2026🛡️ Security

  35. The Blue Agent POV: Investigating Multi-Platform Data Exfiltration Across AWS and GitHub

    Wiz walks through a case study of its "Blue Agent" autonomous SOC investigator tracing a compromised CI/CD service account (svc_automation) across AWS and GitHub. The attack chain: a stolen GitHub token cloned 18 private repos containing hardcoded AWS keys, which were used to authenticate to AWS from Kali Linux via a Zenlayer VPN IP, pivot to a second account, run SSM SendCommand against a production Windows domain controller, and stage custom Python exfiltration scripts (mssql_table_export.py, pg_table_export.py, billing_export2.py) in S3 to pull data from MSSQL, PostgreSQL, and billing systems. The piece details the investigative technique used - 30-day baseline comparison, ASO/IP dispersion across the tenant, and correlating CloudTrail management-plane events with S3 data-plane events and GitHub audit logs.

    wiz.iowriteupPublished and added 29 Sep 2026🛡️ Security

  36. garak v0.17.0 — 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.

    github.comrepoAdded 26 Sep 2026🛡️ Security

  37. Kong Konnect MCP server: stored prompt injection via analytics data leads to credential/data exfiltration (CVE-2026-13341)

    GitHub Security Advisory (CVE-2026-13341) for Kong's mcp-konnect MCP server describes a stored prompt injection vulnerability where a remote attacker crafts malicious request metadata (e.g. User-Agent) that gets stored in Konnect analytics and later returned unsanitized to an AI assistant via MCP tools, potentially causing the agent to exfiltrate sensitive data (plugin configs, secrets, internal hostnames) to an attacker-controlled URL if the client can make outbound fetches. A related path manipulation flaw in control plane/group identifiers allowed requesting unintended Konnect API endpoints with the user's token. The v1.0.0 patch neutralizes untrusted analytics fields, validates identifiers as UUIDs, encodes path segments, and disables raw plugin config output by default.

    github.comadvisoryAdded 26 Sep 2026🛡️ Security

  38. Agent Threat Rules (ATR) — Sigma/YARA-style open detection format for AI agent threats

    Agent Threat Rules (ATR) is an open, versioned YAML rule format for detecting AI-agent security threats — prompt injection, tool poisoning, credential exfiltration, unauthenticated agent execution — positioned as "what Sigma is to SIEM and YARA is to malware." Rules carry permanent ATR-YYYY-NNNNN IDs, declare detection conditions against fields like LLM I/O, tool-call args, or SKILL.md content, and map back to OWASP Agentic/LLM Top 10, MITRE ATLAS, SAFE-MCP, and NIST AI RMF; a reference TypeScript engine and Python wrapper ship MIT-licensed. Governance is transitioning from a single BDFL maintainer to a Technical Steering Committee, and the spec is notably transparent about its own limits, withdrawing previously published per-lane false-positive figures after discovering a tainted benign corpus.

    agentthreatrule.orgotherAdded 26 Sep 2026🛡️ Security

  39. Mini Shai-Hulud Worm Compromises TanStack, Mistral AI, Guardrails AI & More Packages

    The Hacker News details the "Mini Shai-Hulud" campaign by threat actor TeamPCP, which compromised npm and PyPI packages from TanStack, UiPath, Mistral AI, OpenSearch and Guardrails AI via a chained GitHub Actions attack (pull_request_target abuse, cache poisoning, OIDC token extraction), now tracked as CVE-2026-45321 (CVSS 9.6). The worm mints npm publish tokens directly from stolen OIDC credentials to self-propagate — the first documented case of a worm producing validly SLSA Build Level 3-attested malicious packages — and deploys an obfuscated credential stealer with IDE persistence hooks, a GitHub Actions secret-exfiltration workflow, and a dead-man's-switch that runs "rm -rf" if its rogue npm token is revoked. Over 170 packages and 400+ attacker-controlled repos have been identified across npm and PyPI, with findings credited to Aikido Security, Endor Labs, SafeDep, Socket, StepSecurity, Snyk, Wiz and Microsoft.

    thehackernews.comarticleAdded 26 Sep 2026🛡️ Security

  40. Your Agent Is Mine: Measuring Malicious Intermediary Attacks on the LLM Supply Chain

    Academic study formalizing a threat model for malicious third-party LLM API routers acting as plaintext proxies between agents and upstream model providers, defining payload-injection and secret-exfiltration attack classes with adaptive evasion variants. Testing 28 paid and 400 free routers, the authors found 9 injecting malicious code, 2 with evasion triggers, 17 touching planted AWS canary credentials, and 1 draining ETH from a planted private key, then built a research proxy named Mine to evaluate fail-closed policy gates, anomaly screening, and transparency logging as defenses.

    arxiv.orgpaperAdded 26 Sep 2026🛡️ Security

  41. A2M: Trace-Optimized Agent Hijacking in the MCP Ecosystem

    A2M (Attraction-to-Manipulation) is a two-stage black-box framework for hijacking agents that use the Model Context Protocol to select tools from third-party MCP servers. The Attraction phase optimizes attacker-controlled tool metadata to raise invocation probability, while the Manipulation phase uses execution traces to craft adversarial tool outputs that steer agent behavior; on LiveMCPBench it achieves a 93.6% malicious tool invocation rate against GLM-4.6, inflates token cost 32.4x under a cognitive denial-of-service variant, and reaches a 74.4% mean attack success rate across information exfiltration, environment integrity compromise, and reasoning derailment, with partial transfer (63.6%/2.7x/24.5%) to four other models without re-optimization. The authors argue this exposes a semantic supply-chain risk in MCP tool ecosystems and call for stronger tool vetting and runtime isolation.

    arxiv.orgpaperAdded 2 Oct 2026, published 22 Sep 2026🛡️ Security

  42. AWS EKS forensics: data sources and investigation tooling (Synacktiv)

    Synacktiv's CSIRT publishes a detailed forensics guide for Amazon EKS, mapping the three data-source layers (Kubernetes control plane audit logs, data-plane/Container Insights logs, and AWS-level CloudTrail/GuardDuty) and giving concrete CloudWatch Logs Insights queries for detecting RBAC reconnaissance, role escalation via the 'escalate' verb, Pod Security Admission evasion, and static-pod node persistence. It also covers node-level acquisition via SSM/kubectl debug, ServiceAccount token theft, and correlating GuardDuty findings (PrivilegedContainer, ContainerWithSensitiveMount, ReverseShell, InstanceCredentialExfiltration) with CloudTrail to trace stolen node/pod IAM identities used outside the cluster.

    synacktiv.comarticleAdded 21 Sep 2026🛡️ Security

  43. Compromised npm Packages in the AsyncAPI Namespace Deliver Miasma Botnet Loader

    Socket's Threat Research Team details a supply-chain compromise of four @asyncapi npm packages (generator-helpers, generator-components, generator, specs) published via a poisoned source commit through GitHub Actions trusted publishing. The packages contain an obfuscated load-time (not install-hook) implant that spawns a detached Node.js process to fetch an IPFS-hosted, AES-256-GCM-encrypted loader delivering the "Miasma" botnet/tasking framework, which supports REST C2, multi-channel comms (Nostr, IPFS, Ethereum RPC, BitTorrent DHT), shell execution, file exfiltration, and systemd persistence. Includes full technical analysis, IOCs, hashes, and MITRE ATT&CK mapping.

    socket.devwriteupAdded 21 Sep 2026🛡️ Security

  44. I'm Worried About a Prompt Injection Worm

    Daniel Miessler's essay forecasts that the first big AI hack could be a prompt injection worm spreading through the many parsers and integrations that connect AI agents to internal systems. He describes a loud mass-exfiltration variant and a quieter targeted credential-abuse variant, and says defenses may lose to increasingly capable unrestricted open source models. His advice: inventory where AI touches your stack, threat-model each integration, layer defenses, and prepare incident response.

    danielmiessler.comarticleAdded 17 Sep 2026🛡️ Security

  45. HEAVYGRAM: A Telegram-based Surveillance Backdoor Linked to Handala Hack

    Group-IB documents previously undocumented samples of HEAVYGRAM, a Python/PyInstaller-based Windows backdoor that uses the Telegram bot API for command-and-control, screen/audio capture, data exfiltration, and DLL side-loading, alongside the related CRUDEEXCLUDE loader that adds Windows Defender exclusions. The research corroborates and extends a March 2026 US DOJ affidavit and FBI FLASH report, attributing the malware with moderate confidence to the Handala Hack persona — assessed as a false-flag "hacktivist" front for Void Manticore (aka Storm-0842/Banished Kitten), operating on behalf of Iran's MOIS — used since Fall 2023 against Iranian dissidents, journalists, and critics of the Iranian government via Telegram-delivered, Delphi-packaged lures (fake KeePass, Telegram, Pictory apps). It details four infection-chain variants (WSF/VBS downloaders, HTA Telegram-polling scripts, Delphi droppers with embedded archives), the implant's command prefixes (@@/**/##) and attachment handlers, dual-bot C2 configurations, and provides IOCs and detection/hardening recommendations.

    group-ib.comwriteupAdded 1 Oct 2026, published 17 Sep 2026🛡️ Security

  46. AI Agent Hacking Writeups

    A GitHub-hosted, CC0-licensed index of 281 public writeups on attacks against AI agents, organized into six categories: indirect prompt injection, direct prompt injection/jailbreaks/guardrail bypass, MCP and agent tooling, AI platform/infrastructure bugs, classic web bugs in AI product surfaces, and AI used as an attacker's tool. Entries span 2021-2026 and include major disclosures like GeminiJack, ForcedLeak, Clinejection, CVE-2025-53773 (GitHub Copilot RCE), and dozens of Johann Rehberger/PromptArmor/qual1a writeups covering exfiltration, MCP OAuth flaws, and coding-agent sandbox escapes. Comes with an accompanying blog post "How to Hack AI Agents" and a scripted links.txt for automation.

    github.comrepoAdded 22 Sep 2026, published 17 Sep 2026🛡️ Security

  47. MITRE ATLAS Adds 11 AI Agent Attack Techniques (Zenity Labs collab)

    Zenity Labs details its collaboration with MITRE ATLAS to add roughly 11 new AI agent attack techniques, drawn from real-world observations and DEF CON 34 research rather than hypotheticals. New entries cover recon (Active Scanning subtechniques for predictable agent URLs, provider metadata APIs, Search Open Websites/Domains for embedded agentic iFrames, Discover AI Agent Runtime Capabilities, Scan Databases via Shodan/Censys, Misconfigured or Publicly Exposed AI Services), input manipulation (Triggers in Multimodal Inputs, LLM Prompt Obfuscation via image/audio/video, Crafted AI Assistant Links using ?q=/?prompt= parameters, AI Targeted Cloaking, LLM Response Rendering exfiltration, LLM Jailbreak's Data Structure Injection), and a defensive mitigation built on AI honeypots plus multimodal guardrail inspection.

    labs.zenity.ioarticleAdded 30 Sep 2026, published 16 Sep 2026🛡️ Security

  48. y0usaf/pi-jev

    pi-jev is an npm extension (@y0usaf/pi-jev) that adds a typed decision layer to the Pi coding agent: a gate scores pending bash/write/edit tool calls on destructiveness, exfiltration risk, scope, and impact before they run, while an output judge scans bash results for leaked secrets and classifies command failures (retry/environment/code_bug/permission/user_error). Answers come back as probabilities or choice distributions rather than prose, are batched into one API round trip to api.typesafe.ai, cached per input, and fail open on any error so a dead endpoint never blocks the agent. The README documents calibration work behind the thresholds (e.g. destructive=0.90, leak=0.90) derived from repeated fixture runs, and details argument/output truncation and key redaction to limit what leaves the machine.

    github.comrepoAdded 26 Sep 2026, published 16 Sep 2026🛡️ Security

  49. y0usaf/pi-jev

    pi-jev is a decision-layer extension for the Pi coding agent that asks a separate model (Jev/TypeSafe) typed yes/no, choice, or score questions about pending tool calls and their outputs, returning probabilities and confidence scores instead of prose. It gates bash/write/edit calls for destructive, exfiltration, and out-of-scope risk, judges bash output for leaked secrets and failure classification, and exposes a jev_ask tool for the model to request the same structured judgements itself. The README documents empirically calibrated thresholds (e.g. destructive=0.90, leak=0.90) derived from repeated test runs rather than arbitrary defaults.

    github.comrepoAdded 26 Sep 2026, published 16 Sep 2026🧠 AI

  50. OWASP Agentic Skills Top 10

    OWASP's Agentic Skills Top 10 (AST10) catalogs the ten most critical security risks in the "skills" layer of AI agent platforms — OpenClaw's SKILL.md, Claude Code's skill.json, Cursor/Codex manifest.json, and VS Code package.json — arguing this behavior/orchestration layer is distinct from and less protected than the MCP tool layer. It documents real 2026 incidents (the ClawHavoc campaign poisoning 1,184+ ClawHub skills with AMOS-stealer payloads via a shared C2 IP, Snyk's ToxicSkills audit finding 36% of skills flawed, CVE-2025-59536/CVE-2026-21852 in Claude Code enabling RCE and API-key exfiltration on project open, and CVE-2026-28363 "ClawJacked" WebSocket hijacking of local OpenClaw instances), and proposes a Universal Skill Format with signing, permission manifests, and risk tiers plus a checklist for registries, runtime, governance, and skill development.

    owasp.github.iopaperAdded 14 Sep 2026🛡️ Security

  51. SETTRA RANSOMWARE

    A continuously-updated threat-intel profile of the Settra ransomware group, which emerged June 2026 and has listed 64+ victims across the US, Germany, UK and Canada while avoiding healthcare targets. The analysis covers Settra's Tor-hosted data leak site (protected by Techaro's Anubis anti-bot proof-of-work with EdDSA-signed JWT challenge cookies), its use of multiple rotating onion file servers for leak distribution, extensive AI-assisted victim profiling (bank details, termination letters, financials), likely use of RClone for TB-scale exfiltration, and a walkthrough of its TOX-based and web-based negotiation panel including observed ransom demand negotiation from $900k down to $500k.

    theravenfile.comwriteupPublished and added 14 Sep 2026🛡️ Security

  52. agent-egress-bench

    Agent Egress Bench is an open, tool-neutral benchmark maintained by PipeLab (makers of Pipelock) that tests whether products mediating an AI agent's outbound traffic — proxies, egress firewalls, MCP wrappers, agent gateways — actually catch exfiltration attempts caused by prompt injection or misalignment, rather than testing the underlying model itself (that's left to AgentDojo, InjecAgent, CyberSecEval, AgentHarm, ASB). It ships a reproducible Go runner with a proxy/WebSocket/MCP/A2A adapter contract, an offline validator, DSSE-signed evidence bundles, and a CI-runnable GitHub Action, and separates containment from false-positive rate as two distinct scored axes with immutable case IDs and OWASP Agentic Top 10/MITRE ATT&CK mappings. Its governance explicitly permits third parties to publish results unfavorable to the maintainer's own Pipelock product.

    github.comrepoAdded 12 Sep 2026🛡️ Security

  53. Socket: "JeetBot" Twitch Extension Steals 31,000 Users' OAuth Tokens

    Socket's Threat Research Team analyzed "Twitch Enhanced Viewer | JeetBot", a Chrome/Firefox extension with 31,000 users that captures the user's live Twitch OAuth session token from the Authorization header and forwards it as an &auth= query parameter to proxy servers operated by JeetBot, a Russian-language Twitch/Kick/VK-Live bot SaaS, exempting only ten hardcoded Russian streamer channels. Earlier v4.x builds POSTed tokens outright to dedicated set-token endpoints (with backups on deno.dev/deno.net) and included Russian-language comments indicating deliberate rate-limited exfiltration; the account-scoped bearer token grants chat, whispers, and settings access, contradicting both store listings' "no data collection" claims. Firefox has since shipped a fix (85.8.7) after Socket's disclosure; the Chrome build remained vulnerable at publication.

    socket.devwriteupPublished and added 12 Sep 2026🛡️ Security

  54. Artifactory Under Attack: In-the-Wild Exploitation of CVE-2026-42016, CVE-2026-42018 & CVE-2026-82329

    Wiz Research documents active in-the-wild exploitation of three JFrog Artifactory vulnerabilities: CVE-2026-42018 (exposes an internal anonymous-user JWT via POST /access/api/v1/aws/token/), CVE-2026-42016 (token scope validation flaw allowing that JWT to be escalated to admin via POST /access/api/v1/tokens), and CVE-2026-82329 (unauthenticated admin access via POST /access/api/v1/registry/join, added to CISA KEV). Attackers chained the first two to create persistent admin accounts, deploy malicious Groovy plugins for RCE, and drop Rust-based C2 backdoors, while CVE-2026-82329 was exploited independently for configuration exfiltration, cluster join-key theft, and credential/SSH-key persistence. The post includes exact request sequences, detection signatures, affected/fixed version ranges, and remediation guidance.

    wiz.ioadvisoryPublished and added 10 Sep 2026🛡️ Security

  55. kaandemir993/DarkTortilla-RAT-Telegram-Exfiltration-Payload-Extraction-Analysis

    A hands-on reverse-engineering writeup dissecting a DarkTortilla RAT sample (pulled from MalwareBazaar) using Process Hacker, Binary Ninja and x64dbg. It documents the malware's credit-card theft (card_number_encrypted strings for Visa, Mastercard, Amex, Diners Club, etc.), browser credential theft via SQLite queries against Login Data files and app_bound_encrypted_key/os_crypt decryption, and three parallel exfiltration channels — a Telegram bot, SMTP mail, and FTP upload — with the C2 domain showip.net used for IP detection.

    github.comrepoAdded 30 Sep 2026, published 5 Sep 2026🛡️ Security

  56. Numbat

    Numbat is a Go-based, single-binary endpoint agent from Perplexity AI that gives visibility into AI coding-agent activity (Claude Code, Codex, OpenClaw, and other CLI/IDE/gateway agents) by capturing events through local hooks, OTLP/HTTP logs, and on-disk session artifacts. It normalizes activity into one event model, evaluates it with a local CEL rule engine (including multi-step sequence rules like secret-read-then-egress), and can optionally block matched actions via synchronous pre-action hooks (deny/monitor decisions), with case bundles and SHA-256 manifests for forensic reconstruction. Example built-in rules detect cloud-metadata SSRF requests (169.254.169.254) and credential-exfiltration chains, mapped to MITRE ATT&CK technique tags.

    github.comrepoPublished and added 5 Sep 2026🛡️ Security

  57. Megalodon: Mass GitHub Actions Secret Exfiltration Across 5,500+ Public Repositories - StepSecurity

    StepSecurity documents Megalodon, a May 2026 campaign that injected backdoored GitHub Actions workflow files named SysDiag or Optimize-Build directly into 5,500+ public repositories in a six-hour window via direct Poisoned Pipeline Execution (d-PPE), exploiting weak branch protection. The base64-encoded bash payload harvests AWS/GCP/Azure credentials, SSH keys, Kubernetes/npm/Docker configs, GitHub OIDC tokens, and grep-matched secrets from the workspace, exfiltrating everything via HTTPS POST to a hardcoded C2 IP; the npm package @tiledesk/tiledesk-server was among the confirmed poisoned downstream targets.

    stepsecurity.iowriteupAdded 5 Sep 2026🛡️ Security

  58. Introducing deny list egress policies for Harden-Runner

    StepSecurity's Harden-Runner GitHub Action v2.21.0 adds a denied-endpoints input, letting teams block specific egress destinations (domains, wildcards, bare IPs) from CI jobs while leaving everything else reachable — a lighter-weight alternative to allow lists that don't require full enumeration of a job's needs. The piece details how deny-list entries differ from allow-list ones (no per-port scoping), covers the flagship use case of forcing package installs through StepSecurity's Secure Registry proxy by denying direct access to registries like PyPI and Go module hosts, and explains that Harden-Runner's separately maintained Global Block List (built from SOC threat intel, e.g. the Megalodon credential-exfiltration campaign) is distinct from and complements user-managed deny lists. It also candidly notes the deny list's blind spot: campaigns like Shai-Hulud 2.0 that exfiltrate via github.com itself can't be stopped by a deny list, requiring allow-list enforcement instead.

    stepsecurity.ioarticleAdded 3 Sep 2026, published 2 Sep 2026🛡️ Security

  59. Malicious Model Detection with MLTracer Syscalls

    Binarly presents MLTracer, a pipeline that loads PyTorch/pickle model files in a Docker sandbox with strace and FakeNet-NG, flags suspicious syscalls, and labels behavior (reverse shell, downloader, exfiltration) with a SetFit classifier. Run over ~2.12M Hugging Face files, it found 218 confirmed malicious models. Hugging Face-hosted scanners (Protect AI, JFrog, ClamAV, VirusTotal) and ModelScan/SaferPickle missed 9–84% of them. The post also tabulates 21 static-scanner evasion techniques, two of them novel (CodeType/FunctionType indirect variant, EXT2 + copyreg.add_extension), and shows detection of a CVE-2025-32434 exploit that the HF scanners missed.

    binarly.iowriteupPublished and added 1 Sep 2026🛡️ Security

  60. MinIO Security Lab

    A defensive security review lab for MinIO pinned at commit 7aac2a2 (~RELEASE.2025-10-15+11), providing Docker-based single-node, two-node replication, and dual-OIDC environments plus per-finding repro.sh PoCs for issues including service-account key path traversal, server-update SSRF, cross-provider OIDC token acceptance, source-IP/X-Forwarded-For trust, tag-deletion replication bypass, batch job data exfiltration, and secrets exposed via config history. Each of 16+ findings (F-01 through F-16) has ANALYSIS.md with root cause, data-flow trace, and suggested fix, produced via a generate/judge/independent-verify pipeline with cross-vendor adjudication (including an OpenAI/codex-based verifier) and live validation on a lab-built Go binary; ~90 candidates were triaged with ~55 set aside as false positives or intended behavior.

    github.comrepoAdded 3 Sep 2026, published 21 Aug 2026🛡️ Security

Showing 60 of 133

Show more