Unpinned Dependencies
Low
- Category
- Supply Chain
- Content
# 核心依赖 faiss-cpu>=1.7.4 numpy>=1.21.0 pandas>=1.3.0
- Confidence
- 87% confidence
- Finding
- faiss-cpu>=1.7.4
Security checks across malware telemetry and agentic risk
This is a local CNC quoting helper with ordinary dependency hygiene risks but no evidence of hidden data access, exfiltration, persistence, or destructive behavior.
Install in a virtual environment, pin or lock the Python dependencies before relying on it operationally, and treat generated quotes as estimates that need human review. Only populate cases.json with data you are comfortable storing locally.
# 核心依赖 faiss-cpu>=1.7.4 numpy>=1.21.0 pandas>=1.3.0
# 核心依赖 faiss-cpu>=1.7.4 numpy>=1.21.0 pandas>=1.3.0 # 可选依赖
# 核心依赖 faiss-cpu>=1.7.4 numpy>=1.21.0 pandas>=1.3.0 # 可选依赖 # ollama>=0.1.0 # 向量嵌入(可选)
63/63 vendors flagged this skill as clean.