Semgrep — agentic threat model
The Semgrep MCP server presents a moderate security risk primarily centered around unauthorized local filesystem access (source code exposure) and tool misuse by orchestrating agents. While highly valuable for automated security auditing, its integration requires strict path sanitization and execution boundaries to prevent path traversal or arbitrary rule execution.
OWASP AIVSS score rationale
| Autonomy of Action | 0.30 | |
| Goal-Driven Planning | 0.20 | |
| Self-Modification | 0.00 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.10 | |
| Contextual Awareness | 0.40 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.60 | |
| 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 underlying LLM is external to this MCP server; however, adversarial prompts could trick the calling model into misinterpreting Semgrep's vulnerability findings or ignoring critical alerts.
Not certain from the listing — While the tool processes codebase files as its primary data source, it is unclear if it maintains a vector store or persistent cache of the scanned codebases.
The MCP integration exposes static analysis capabilities to agents. Risks include tool misuse where an agent is manipulated into scanning unauthorized directories, executing resource-intensive scans (DoS), or processing malicious custom rules.
Not certain from the listing — The hosting environment is managed by the user. If run without sandboxing, a compromised MCP server could allow an agent to read sensitive local files outside the intended codebase path.
Not certain from the listing — There is no mention of built-in logging, run-time guardrails, or anomaly detection to monitor how frequently or on what targets the Semgrep tool is being invoked.
As an open-source and freemium tool, it lacks explicit mention of enterprise-grade access controls, OAuth integration, or compliance certifications within the listing, requiring the host application to enforce these boundaries.
Designed specifically for multi-agent ecosystems (auditing other MCP servers). This introduces trust-boundary risks where a compromised agent could feed malicious code to Semgrep to exploit parser vulnerabilities or manipulate the audit results.
MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).