11 docs tagged with "static-analysis"

Technical analysis of Python's Pickle Virtual Machine vulnerabilities in ML models, __reduce__ method exploitation, and transitioning to Safetensors.

A deep technical breakdown of Command Injection vulnerabilities in Machine Learning pipelines via os.system and subprocess, and how to statically analyze inference scripts.

A deep technical methodology for identifying unauthorized LLM access, calculating Shannon entropy for API key detection, and enforcing structural AI governance across development environments.

A mathematical approach to detecting custom, un-prefixed API keys (Pinecone, Weights & Biases) using Shannon Entropy and AST contextual heuristics.

A comprehensive architectural guide to integrating automated AI security controls into CI/CD. Detailed implementation of scanning models, datasets, and dependencies within GitHub Actions.

An architectural breakdown of the FinOps risks associated with OpenAI API key leakage, and how to utilize Shannon Entropy to detect keys in Git history and Jupyter outputs.

A deep technical breakdown of the Python Pickle Virtual Machine (PVM), the __reduce__ magic method, and how ML models are weaponized for Remote Code Execution.

A deep technical breakdown of how attackers establish persistence via Python Reverse Shells, bypassing NAT and firewalls, and how to detect them via static AST analysis.

Architectural strategies for securing Jupyter environments. Deep dive into nbformat JSON schemas, Shannon entropy for secret detection, and isolating execution states.

A deep technical analysis of the dual-track AI supply chain: mitigating index resolution vulnerabilities in Python dependencies and identifying mathematical backdoors in ML artifacts.

An architectural analysis of accidental SSH private key (`id_rsa`) exposure within Machine Learning datasets and Docker contexts, and deterministic header detection.