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
The wire · latest
First reported arxiv.org
(A)I Sees What You Don't: Exploiting New Attack Surfaces in Third-Party Mobile Agents
Researchers from Simon Fraser University, CUHK, Shandong University, and QAX's Xingtu Lab published an arXiv paper (arXiv:2607.00333) demonstrating seven concrete attacks against five open-source mobile AI agent frameworks (AppAgent, AppAgentX, Mobile-Agent-v3, Open-AutoGLM, and MobA). A malicious Android app without privileged permissions can slip invisible on-screen text that the VLM-driven agent reads and acts on, exploiting a 'Screen Perception' surface (human-vs-machine vision gap) and a 'Misused Channel' surface to hijack agent actions and even achieve arbitrary command execution on the host PC driving the agent. All five frameworks fell to at least six of the seven attacks; no CVE was assigned and authors report no evidence of in-the-wild use. Details →First reported arxiv.org
A Security Analysis of the OpenClaw AI Agent Framework
Researchers detailed three now-patched high-severity flaws (GHSA-hjr6-g723-hmfm, GHSA-9969-8g9h-rxwm, GHSA-575v-8hfq-m3mc; CVE-2026-46817, CVE-2026-55200) in the OpenClaw personal AI assistant framework that compose into a complete unauthenticated remote code execution path — from an LLM tool call triggered via a WhatsApp message to command execution on the host. The chain abuses OS command injection and an incomplete disallowed-input filter in the exec allowlist, whose closed-world lexical parsing is defeated by shell line continuation, busybox multiplexing, and GNU option abbreviation; a companion arXiv analysis taxonomizes 470 advisories and shows a malicious plugin skill bypassing the exec pipeline entirely. Details →First reported · updated · 2 reports adversa.ai
GuardFall: a universal shell injection vulnerability in open-source AI agents
Adversa AI research describes GuardFall, a bypass of AI coding agents' safety filters using decades-old shell injection tricks to execute dangerous commands. The bypass reportedly worked against 10 of 11 tested popular open-source coding and computer-use agents, with only 'Continue' being resistant. Details →How the wire is made
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