A coordinated supply chain attack compromised 19 PyPI packages, utilizing malicious .pth files to achieve execution at Python startup. The loader downloads the Bun runtime to execute an obfuscated JavaScript stealer targeting developer secrets, cloud credentials, and CI/CD tokens, exfiltrating data via GitHub repositories and Actions.
Anthropic
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Shai-Hulud Descends to Hades: Miasma Worm Campaign Spreads with New PyPI Wave The sorry state of skill distribution Security researchers successfully bypassed multiple AI agent skill scanners, including ClawHub, Cisco's skill-scanner, and skills.sh integrations, using techniques like file truncation, embedded payloads, Python bytecode poisoning, and prompt injection. The findings highlight that automated scanning of AI agent skills is fundamentally flawed due to the complex mix of natural language, code, and limited scanner context windows, necessitating a shift towards curated, trusted skill repositories.
The Top 10 Threats Related to Agent Skills Anthropic's new 'Agent Skills' feature, which uses progressive disclosure to manage AI agent context windows, introduces a novel attack surface. The article outlines the top 10 critical threats to this ecosystem, including prompt injection, supply chain manipulation, and unauthorized code execution, highlighted by the recent OpenClaw malware incident.