feat(llm-security): /security ide-scan <url> — Marketplace/OpenVSX/direct VSIX (v6.4.0)
Pre-installation verification of VS Code extensions via URL — fetch a remote VSIX, extract it in a hardened sandbox, and run the existing IDE scanner pipeline against it. No npm dependencies. Sources: - VS Code Marketplace (publisher.gallery.vsassets.io direct download) - OpenVSX (open-vsx.org official API) - Direct .vsix HTTPS URLs Defenses: - HTTPS-only, TLS verified, manual redirect with per-source host whitelist - 30s total timeout via AbortController - 50MB compressed cap, 500MB uncompressed, 100x expansion ratio - Zero-dep ZIP extractor: zip-slip, absolute paths, drive letters, NUL bytes, symlinks (Unix mode 0xA000), depth limits, ZIP64 rejected, encrypted rejected - SHA-256 streamed during fetch, surfaced in meta.source - Temp dir cleanup in all paths (try/finally) Files: - scanners/lib/vsix-fetch.mjs (HTTPS fetcher, host whitelist, streaming SHA-256) - scanners/lib/zip-extract.mjs (zero-dep parser with hardening caps) - knowledge/marketplace-api-notes.md (endpoint reference) - 3 test files (48 tests added: vsix-fetch, zip-extract, ide-extension-url) Tests: 1296 → 1344 (all green). Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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@ -22,21 +22,21 @@ Then open Claude Code and type `/plugin` to browse and install plugins from the
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## Plugins
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### [LLM Security](plugins/llm-security/) `v6.3.0`
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### [LLM Security](plugins/llm-security/) `v6.4.0`
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Security scanning, auditing, and threat modeling for agentic AI projects.
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Built on OWASP LLM Top 10 (2025), OWASP Agentic AI Top 10, and the AI Agent Traps taxonomy (Google DeepMind, 2025). Three layers of protection:
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- **Automated enforcement** — 9 hooks that block dangerous operations in real time (prompt injection, secrets in code, destructive commands, supply chain guardrails, transcript scanning before context compaction)
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- **Deterministic scanning** — 22 Node.js scanners (10 orchestrated + 12 standalone) for byte-level analysis: Shannon entropy, Unicode codepoints, typosquatting detection, taint flow, DNS resolution, git forensics, AI-BOM, attack simulation, IDE extension prescan. Bash-normalize T1-T6 for obfuscation-resistant denylists
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- **Deterministic scanning** — 22 Node.js scanners (10 orchestrated + 12 standalone) for byte-level analysis: Shannon entropy, Unicode codepoints, typosquatting detection, taint flow, DNS resolution, git forensics, AI-BOM, attack simulation, IDE extension prescan (now with URL fetch from Marketplace / OpenVSX / direct VSIX, hardened ZIP extractor for zip-slip / symlinks / bombs). Bash-normalize T1-T6 for obfuscation-resistant denylists
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- **Advisory analysis** — 19 commands that scan, audit, and model threats with structured reports, letter grades, and actionable remediation
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- **Enterprise governance** — Compliance mapping (EU AI Act, NIST AI RMF, ISO 42001), SARIF 2.1.0 output, structured audit trail, policy-as-code, standalone CLI
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- **Opus 4.7 aligned** — Agent instructions rewritten for literal instruction-following (system card §6.3.1.1), defense-in-depth posture per §5.2.1, production hardening guide
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Key commands: `/security posture`, `/security audit`, `/security scan`, `/security ide-scan`, `/security threat-model`, `/security plugin-audit`
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6 specialized agents · 22 scanners · 9 hooks · 18 knowledge docs · 1296 tests
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6 specialized agents · 22 scanners · 9 hooks · 19 knowledge docs · 1344 tests
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→ [Full documentation](plugins/llm-security/README.md)
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