supply-chain
Hunt LLM supply-chain compromise (OWASP LLM03:2025) — malicious or backdoored models, datasets, adapters, plugins, MCP servers, and tokenizer / framework dependencies that ship inside an AI-integrated product.
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Fix and improve this skill with Tessl
tessl review fix ./packages/decepticon/decepticon/skills/standard/analyst/supply-chain/SKILL.mdE006: Malicious code pattern detected in skill scripts.
What this means
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
Why it was flagged
The document explicitly describes and demonstrates LLM supply-chain attack techniques (backdoored weights, token-stealing/typo-squatted packages, dataset poisoning, plugin/MCP hijacks) and includes PoC steps that can be directly reused for malicious exploitation.
- Repository
- PurpleAILAB/Decepticon
- Commit
a04f96b
- Audited
- Security analysis
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