First reported foxnews.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
The wire · latest
First reported · updated · 6 reports paloaltonetworks.com
Phantom Squatting: AI-Hallucinated Domains as a Software Supply Chain Vector
Palo Alto Networks Unit 42 documents "Phantom Squatting," a software supply-chain technique in which attackers register web domains that large language models frequently hallucinate, so that when developers or agents follow LLM-suggested URLs they land on attacker-controlled infrastructure. The research extends the concept of slopsquatting from hallucinated package names to hallucinated domains and measures how LLM temperature and prompting produce consistent, registrable phantom domains. Details →First reported · updated · 5 reports venturebeat.com
Forget typosquatting; slopsquatting is the software supply chain threat created by AI coding tools | VentureBeat
VentureBeat explains slopsquatting, an emerging software supply-chain threat in which attackers exploit LLM coding assistants' tendency to hallucinate plausible-sounding but nonexistent package names, then register those names and populate them with malicious code that gets pulled into developer codebases. The piece notes that traditional registry protections against typosquatting do not catch these fabricated names, and cites research showing high hallucination rates and rising OSS vulnerability trends, including work on adversarial hallucination squatting used to build agentic botnets. Details →First reported · updated · 2 reports darkreading.com
AI Coding: Do Security Risks Outweigh Productivity Gains?
A Dark Reading analysis weighs the security risks of AI coding tools against their productivity gains, citing surveys showing near-universal enterprise adoption and research finding AI-generated code carries more high-risk vulnerabilities, hardcoded secrets, and hidden costs from scanning, remediation, and false positives. It references large-scale studies (e.g., arXiv analyses of GitHub repositories and human-vs-AI code) plus issues like slopsquatting and trust-boundary gaps in AI coding assistants. Details →How the wire is made
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