← trailofbits-agentic-actions-auditor
trailofbits-agentic-actions-auditor — agentic threat model
The trailofbits-agentic-actions-auditor is a specialized security tool with low inherent agentic autonomy, designed to analyze and secure CI/CD workflows against AI-agent hijacking. Its primary risk lies in potential evasion or false negatives that could allow vulnerable agent integrations to be deployed into production environments.
OWASP AIVSS score rationale
| Autonomy of Action | 0.20 | |
| Goal-Driven Planning | 0.10 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.20 | |
| Persistent Memory | 0.00 | |
| Contextual Awareness | 0.30 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.20 | |
| Non-Determinism | 0.20 | |
| Opacity & Reflexivity | 0.30 |
Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.
MAESTRO 7-layer threat model
Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.
Not certain from the listing — the tool itself may use an LLM to analyze YAML files, or it may be a static analysis tool. If it uses an LLM, it is subject to prompt injection or evasion during analysis.
Not certain from the listing — it primarily ingests GitHub Actions workflow YAML files as its data surface. There is no indication of persistent vector stores or RAG operations.
Highly relevant as the tool specifically audits agent frameworks and integrations (e.g., Claude Code, Gemini CLI) within CI/CD pipelines to detect insecure tool integration and prompt injection vectors.
Runs within CI/CD environments (GitHub Actions). If compromised or bypassed, it could allow vulnerable workflows to be deployed, leading to potential runner compromise or secrets exfiltration.
Acts as a security evaluation tool for CI workflows. However, its own observability, logging, and evasion-resistance are not detailed in the listing.
Designed to enforce security policies and prevent injection vulnerabilities in CI/CD pipelines. It lacks explicit mention of its own internal access controls or compliance certifications.
Directly addresses the agent ecosystem by auditing how external agents (like Claude Code) are integrated into workflows, mitigating cascading failures and unauthorized agent actions in CI.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).