fine-tuning-expert
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Audited by Socket on Sep 6, 2026
1 alert found:
AnomalyAnomalyreferences/deployment-optimization.md
LOWAnomalyLOW
references/deployment-optimization.md
No explicit malicious payloads (e.g., credential theft, exfiltration, persistence) are visible in this fragment. However, the code contains significant supply-chain and execution-risk primitives typical of LLM deployment pipelines: vLLM is configured with trust_remote_code=True (enabling potential arbitrary code execution from model artifacts), and GGUF export runs external conversion/quantization tools via subprocess.run using paths derived from LLAMA_CPP_PATH (path/tool tampering could lead to RCE). Treat this code as high-impact operationally if model artifacts or runtime tooling paths are not strictly controlled.
Confidence: 62%Severity: 64%
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