a2a-security-review
Review agent-to-agent (A2A) / multi-agent-system trust: peer identity and authentication, message integrity,…
Test that retrieval enforces per-user / per-tenant authorization so one user cannot retrieve another's documents through the RAG system. Use on an authorized multi-tenant or multi-user RAG app to validate access control on retrieval.
Claude Code
$ npx -y skills add jassics/awesome-claude-security --skill vector-store-isolation-test --agent claude-code
Codex
$ npx skills add jassics/awesome-claude-security --skill vector-store-isolation-test -a codex -y
Cursor
$ npx skills add jassics/awesome-claude-security --skill vector-store-isolation-test -a cursor -y
Gemini CLI
$ npx skills add jassics/awesome-claude-security --skill vector-store-isolation-test -a gemini-cli -y
GitHub Copilot
$ npx skills add jassics/awesome-claude-security --skill vector-store-isolation-test -a github-copilot -y
OpenCode
$ npx skills add jassics/awesome-claude-security --skill vector-store-isolation-test -a opencode -y
Windsurf
$ npx skills add jassics/awesome-claude-security --skill vector-store-isolation-test -a windsurf -y
name: vector-store-isolation-test description: >- Test that retrieval enforces per-user / per-tenant authorization so one user cannot retrieve another's documents through the RAG system. Use on an authorized multi-tenant or multi-user RAG app to validate access control on retrieval.
Evidence on whether the retrieval layer leaks documents across users/tenants — the highest-impact RAG confidentiality failure (OWASP LLM08 / LLM02).
Tenant B) with distinct, identifiable documents.
1. **Direct cross-tenant retrieval** — as User A, ask questions whose best answers live only in User B's documents. Does any B content surface? 2. **Filter bypass** — if isolation relies on a client-supplied filter/namespace, try altering or omitting it. Is authorization enforced server-side? 3. **Relevance-driven leakage** — craft queries semantically close to B's private docs to see if relevance overrides authorization. 4. **Metadata/citation leak** — even if content is withheld, are titles, sources, or snippets exposed via citations or errors? 5. **Embedding inversion (if applicable)** — can returned embeddings or similarity responses be used to reconstruct unauthorized source text?
1. Seed distinct, labeled documents under each identity. 2. Authenticate as User A and run the cases above; never use B's session to "prove" A's access. 3. Record per case: isolated / partial leak / full leak, with evidence (query, surfaced content/metadata, response). 4. Identify the gap: client-side-only filtering, retrieve-then-(not)-filter, shared index without ACLs.
A results table: case · result · leaked element · evidence · mitigation (authorize-then-retrieve, per-tenant namespaces, server-side ACL enforcement). Confirmed leaks → `security-reporting:finding` (rate severity high+).
Authorization must be enforced on the **server** at retrieval time and tied to the authenticated caller — never trust a client-provided tenant/filter. Test the metadata/citation path too; it leaks even when document bodies are withheld.
A Claude Code plugin marketplace for the full cybersecurity & GenAI-security lifecycle — from recon and threat modeling to detection engineering, GRC, and CISO-level strategy. A pentester knows which OWASP test bends a broken-access-control endpoint.
Review agent-to-agent (A2A) / multi-agent-system trust: peer identity and authentication, message integrity,…
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