First reported catonetworks.com
Lead dispatch
First reported island.io
AgentBaiting: How Fake AI Skills Deliver Malware at Scale
Island security researchers uncovered the FakeGit campaign, which used roughly 7,600 malicious GitHub repositories—over 800 posing as AI Skills or MCP servers—to deliver SmartLoader malware that installs the StealC information stealer. The campaign introduces a technique called AgentBaiting, in which AI agents such as Claude Code, Gemini, and ChatGPT autonomously discover the attacker repositories, treat the malicious README as legitimate documentation, and pass installation instructions to users; the operation recorded over 14 million downloads.supply-chain · tool-abuse · malware-delivery · agentbaiting
mcp · ai-agents · ai-skills · llm · copilot
Severity
0.75
The wire · latest
First reported · updated · 2 reports barracuda.com
Text salting: How hidden text evades AI email security
Barracuda researchers report more than one million retail-themed phishing emails since April that use 'text salting' — hidden, harmless-looking text invisible to recipients but readable by scanners — to dilute malicious signals and fool both traditional and AI-powered email security filters. Generative AI lets attackers generate these salted campaigns cheaply, at scale, and with high variation, while AI-based content analysis engines fail to see through the hidden content. Details →First reported paloaltonetworks.com
OpenClaw’s Skill Marketplace and the Emerging AI Supply Chain Threat
Unit 42 describes an emerging AI supply-chain threat in which malicious "skills" published to the OpenClaw agent skill marketplace act as a distribution channel for malware and data theft. Corroborating research from Trend Micro (Atomic macOS Stealer delivery), Bitdefender, Koi.ai (341 malicious ClawedBot skills) and JFrog documents how attackers hide payloads inside agent skills users install to extend AI-agent capabilities. Details →First reported wraith.sh
Data Exfiltration via Markdown Images: The Quiet AI Vulnerability
Wraith's attack guide by Anthony D'Onofrio details data exfiltration via markdown image rendering in AI products, where an injected payload (via prompt injection, RAG doc, shared document, or email) causes an LLM to emit a markdown image whose URL embeds secrets like system prompts, conversation history, or API keys; when the chat client renders the markdown, the browser silently fetches the attacker's URL, leaking the data with zero clicks and no visible artifact. The guide notes variants have hit ChatGPT, Microsoft Copilot, GitHub Copilot Chat, Slack AI Assistant, Google Bard, and Claude.ai, and covers four defensive patterns. Details →First reported sans.edu
Someone Is Scanning for Your MCP Servers and AI Assistant Credentials
A SANS ISC diary by Manuel Humberto Santander Peláez reports that analysis of 14 days of Apache/ModSecurity logs from a small web host revealed distributed internet scanning specifically targeting Model Context Protocol (MCP) servers, AI assistant configuration files, and locally exposed LLM endpoints. Notably, the POST /mcp probes carried valid JSON-RPC 2.0 MCP 'initialize' handshakes from 49 distinct source IPs, indicating scanners that speak the protocol and would enumerate tools and data sources if a real MCP server responded. Details →How the wire is made
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