AI Security Atlas › All entries › Multi-Agent & Memory Trust
Mutable Tool Manifests
MCP clients trust tool metadata fetched at runtime and do not detect changes after initial approval.
Open in the interactive atlas →Impact
Enables rug-pull attacks where a benign tool turns malicious after users approve it.
Why this severity
Impact High × Likelihood High = Critical
Impact high: approved tools turn malicious. Likelihood high: the Postmark MCP server shipped clean versions, then added a hidden BCC in an update (2025 incident).
Impact High: Code execution, credential compromise, exposure of regulated or confidential data, irreversible actions, or system-wide failure.
Likelihood High: At least one documented real-world incident, and the attack needs no access beyond what the system exposes to ordinary users or content (publishing to a public registry counts as ordinary).
Method: OWASP Risk Rating Methodology
Evidence
- Incident: Poisoned Postmark MCP Server Email Exfiltration (MITRE ATLAS case study AML.CS0053, 2025)
Related
Exploited by
- MCP Tool Description Poisoning Threat · Critical severity
Mitigated by
- Tool Manifest Pinning & Review Guardrail · Fixes critical risks
Remediation
- Hash tool definitions at approval and compare on every session.
- Prompt for re-consent when a manifest changes.
- Prefer servers distributed through a vetted internal registry.
How to verify
- Manifest drift test triggers re-approval UI.
- Client logs record manifest hashes per session.
Framework mapping
OWASP Top 10 for LLM Applications 2025
- LLM03:2025 Supply Chain
OWASP Top 10 for Agentic Applications 2026
- ASI04:2026 Agentic Supply Chain Vulnerabilities
MITRE ATLAS
- AML.T0110 AI Agent Tool Poisoning
NIST AI RMF 1.0
- MANAGE 3.1 Third-party AI risks are monitored and controls applied