First reported · updated · 3 reports redhat.com
Lead dispatch
First reported · updated · 2 reports island.io
AgentBaiting: How Fake AI Skills Deliver Malware at Scale
The FakeGit campaign, detailed by Island security researcher Oleg Zaytsev, uses roughly 7,600 malicious GitHub repositories—over 800 posing as AI Skills or MCP servers—to deliver SmartLoader malware, which establishes persistence and installs the StealC information stealer. Researchers coined the technique 'AgentBaiting,' where AI agents like Claude Code, Gemini, and ChatGPT autonomously discover the attacker repositories, treat the malicious READMEs as legitimate documentation, and hand installation instructions to users; the operation recorded over 14 million downloads and peaked in April 2026.supply-chain · tool-abuse · malware-distribution · agent-baiting
mcp · ai-agents · llm · github
Severity
0.78
The wire · latest
First reported mitiga.io
Modern Malware — Spyware Skills, Hijacked Base URLs, and 1,230+ Leaking API Keys in AI Instruction Files
Mitiga Labs details malware hidden in AI agent instruction files — Cursor rules, Anthropic Skills, Claude Hooks, AGENTS.md/CLAUDE.md context files, MCP server configs, and .pyc droppers — that AI agents follow with near-zero validation. The research found prompt-exfiltration tradecraft caught in the wild, attacker-controlled ANTHROPIC_BASE_URL overrides routing Claude traffic through MITM proxies, permission-bypass defaults, and over 1,230 hardcoded API keys and JWT tokens across tens of services. Mitiga also released a free scanner, Skillgate, built during the investigation. Details →First reported · updated · 25 reports ulad.net
Only 8.5% of MCP Servers Use OAuth — Here's How to Host One Securely on App Service | Microsoft Community Hub
A Microsoft App Service blog reports that only 8.5% of Model Context Protocol (MCP) servers implement OAuth, leaving the vast majority without client authentication, and provides guidance on hosting an MCP server securely with OAuth on Azure App Service. The piece frames unauthenticated MCP servers as an exposed gateway for AI agents to sensitive data and offers hardening recommendations. Details →First reported tenetsecurity.ai
A public Sentry key is all it takes to hijack Claude Code, Cursor, and Codex
Researchers at Tenet Security describe "agentjacking," an attack in which a publicly exposed Sentry key lets an attacker inject fake error messages that AI coding agents such as Claude Code, Cursor, and Codex ingest via the Sentry MCP server. The crafted error content acts as an indirect prompt injection, hijacking the agent to execute attacker-directed actions; the team also published a mitigation tool, agent-jackstop, on GitHub. Details →First reported strobes.co
CVE-2026-23744 - CVE Details, Severity, and Analysis | Strobes VI
CVE-2026-23744 is a critical (CVSS 9.8) remote code execution vulnerability in MCPJam Inspector versions 1.4.2 and earlier, a local-first development platform for MCP servers. Because the tool binds to 0.0.0.0 and its /api/mcp/connect endpoint extracts command and args without security checks, an attacker can send a crafted, unauthenticated HTTP request to trigger arbitrary command execution with no user interaction; public PoCs and vendor patches are available. Details →First reported mitiga.io
MCP Token Theft in Claude Code: A Man-in-the-Middle Attack Chain
Mitiga Labs research details a man-in-the-middle attack chain against Claude Code in which a user-level post-install hook rewrites MCP server endpoints in ~/.claude.json to route MCP traffic through attacker-controlled infrastructure and steal OAuth tokens for connected SaaS (Jira, Confluence, GitHub, etc.). Because provider-side audit logs still show valid OAuth traffic from Anthropic's trusted egress range, the malicious activity blends in as legitimate user actions, and token rotation fails to break the chain while the hook keeps reseeding the config. Details →First reported · updated · 2 reports adversa.ai
The Cursor deeplink vulnerability that turns a “review this PR” click into remote code execution
Adversa AI researcher Rony Utevsky details a Cursor IDE vulnerability (dubbed DeepJack) where a crafted `cursor://` deeplink installs an attacker-controlled MCP server that runs arbitrary, unsandboxed commands under the victim's account after one click and one confirmation. The install dialog renders the command in a single-line field so a malicious tail is pushed off-screen, and double-URL encoding disguises the `mcp/install` URI as a routine `pr-review` link. Cursor acknowledged the root cause but closed the reports as duplicates, and build 3.9.8 reportedly remains vulnerable. Details →First reported arxiv.org
The Balkanization of Execution-Security Research for AI Coding Agents: Isolation, Access Control, and Time-of-Check-to-Time-of-Use Vulnerabilities
A systematization-of-knowledge paper by Mohammadreza Rashidi organizes 39 works (2023-2026) on execution security for AI coding agents into 17 categories covering sandbox isolation, capability/access control, policy enforcement, TOCTOU races, and MCP threats, and verifies four disclosed, patched CVEs affecting production agent harnesses. It surfaces five cross-cutting gaps, including denylist policy failure rates of 69-98% and benign out-of-scope agent actions occurring at rates up to 17.1% under realistic prompting. Details →First reported microsoft.com
AutoJack: How a single page can RCE the host running your AI agent | Microsoft Security Blog
Microsoft researchers disclosed AutoJack, an exploit chain in AutoGen Studio where untrusted web content rendered by a browsing agent can reach a local MCP WebSocket and spawn arbitrary processes on the host, crossing the localhost trust boundary to achieve RCE. The issue was reported to MSRC and hardened upstream in commit b047730; the vulnerable MCP WebSocket surface was never shipped in a PyPI release. Details →How the wire is made
Poll & cluster
Internet is crawled for AI security news and near-duplicate coverage is embedded and grouped into durable items.
Curate
AI Agent filters for agentic-AI relevance, classifies and tags each item, scores severity for threats, and writes the summary.
Every item here is one machine-curated intelligence object, not a headline.
Read the wire for free. There is a small charge to ask the index questions.
The wire, open
The complete curated feed, no key required.
- GET /feed.xml — RSS 2.0, every item
- GET /api/items — read-only
The vector desk
Query the index by meaning, not just keyword.
- GET /api/items?tags=&minSeverity=&itemType=
- GET /api/search?q= — keyword
- GET /api/semantic?q= — vector