tao-port-huggingface-model

Fail

Audited by Snyk on Jun 18, 2026

Risk Level: HIGH
Full Analysis

HIGH W007: Insecure credential handling detected in skill instructions.

  • Insecure credential handling detected (high risk: 0.80). The prompt explicitly tells the agent to "gather credentials" and to ask the user for image references/credentials (NGC/docker login), which would require the LLM to receive and potentially echo or embed secret values (e.g., in docker login/pull commands), creating an exfiltration risk.

MEDIUM W012: Unverifiable external dependency detected (runtime URL that controls agent).

  • Potentially malicious external URL detected (high risk: 0.70). The skill explicitly pulls and runs TAO Toolkit container images from NVIDIA's registry (nvcr.io) during Phase 0 (e.g., docker pull "$TAO_PT_PUB_IMAGE" / references to nvcr.io and preparing tao-pytorch-base:latest), which downloads and executes remote container images at runtime and is a required external dependency.

Issues (2)

W007
HIGH

Insecure credential handling detected in skill instructions.

W012
MEDIUM

Unverifiable external dependency detected (runtime URL that controls agent).

Audit Metadata
Risk Level
HIGH
Analyzed
Jun 18, 2026, 04:35 PM
Issues
2
Security Audit — snyk — tao-port-huggingface-model