docs: update README + CHANGELOG for threat-db v2.2.0
README: CVE count 19→24, malicious skills 341→655 (consistent across all occurrences + badge) CHANGELOG: security patch entry for threat-db v2.2.0 (CVE-2026-0755, mcp-run-python SSRF, 5 new scanners, T010) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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CHANGELOG.md
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CHANGELOG.md
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@ -6,6 +6,19 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/).
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## [Unreleased]
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## [3.28.1] - 2026-02-22 (security patch)
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### Security
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- **Threat Database v2.1.0 → v2.2.0** — 2 new CVEs, 5 new scanning tools, 1 new attack technique
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- **CVE-2026-0755** (Critical, CVSS 9.8) — gemini-mcp-tool RCE via command injection; LLM-generated args passed to shell without validation; no auth, network-reachable; **no fix as of 2026-02-22**
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- **SNYK-PYTHON-MCPRUNPYTHON-15250607** (High) — mcp-run-python SSRF via overly permissive Deno sandbox allowing localhost access
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- **T010 Attack Technique** — Agent-to-Agent Communication Injection: attacker injects malicious instructions into Slack/GitHub/ticketing channels monitored autonomously by AI agents
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- **5 new scanning tools catalogued**: Proximity (open-source), Enkrypt AI MCP Scanner, Cisco MCP Scanner (behavioral analysis), NeuralTrust MCP Scanner, MCPScan.ai
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- **Defensive resource**: Anthropic Claude Code Security (AI-powered codebase scanner, launched 2026-02-21)
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- **4 new sources**: Lakera "Agent Skill Ecosystem" audit (4310 OpenClaw skills), Penligent AI CVE-2026-0755, Snyk mcp-run-python SSRF, THN Anthropic CC Security
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- **guide/security-hardening.md** — CVE table updated with CVE-2026-0755 and mcp-run-python SSRF entries + critical warning note (no patch available)
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## [3.28.1] - 2026-02-22
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### Added
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README.md
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README.md
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@ -9,7 +9,7 @@
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<a href="./CHANGELOG.md"><img src="https://img.shields.io/badge/Updated-Feb_22,_2026_·_v3.28.1-brightgreen?style=for-the-badge" alt="Last Update"/></a>
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<a href="./quiz/"><img src="https://img.shields.io/badge/Quiz-271_questions-orange?style=for-the-badge" alt="Quiz"/></a>
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<a href="./examples/"><img src="https://img.shields.io/badge/Templates-175-green?style=for-the-badge" alt="Templates"/></a>
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<a href="./guide/security-hardening.md"><img src="https://img.shields.io/badge/🛡️_Threat_DB-19_CVEs_·_655_malicious_skills-red?style=for-the-badge" alt="Threat Database"/></a>
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<a href="./guide/security-hardening.md"><img src="https://img.shields.io/badge/🛡️_Threat_DB-24_CVEs_·_655_malicious_skills-red?style=for-the-badge" alt="Threat Database"/></a>
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</p>
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<p align="center">
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@ -32,7 +32,7 @@
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- ✅ **Build mental models** — How Claude Code works internally (architecture, context flow, tool orchestration)
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- ✅ **Visualize concepts** — 40 Mermaid diagrams covering model selection, master loop, memory hierarchy, multi-agent patterns, security threats
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- ✅ **Master methodologies** — TDD, SDD, BDD with AI collaboration (not just templates)
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- ✅ **Security mindset** — Threat modeling for AI systems (only guide with 18 CVEs + 341 malicious skills database)
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- ✅ **Security mindset** — Threat modeling for AI systems (only guide with 24 CVEs + 655 malicious skills database)
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- ✅ **Test your knowledge** — 271-question quiz to validate understanding (no other resource offers this)
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**Outcome**: Go from copy-pasting configs to designing your own agentic workflows with confidence.
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@ -48,7 +48,7 @@ Both guides serve different needs. Choose based on your priority.
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| **Understand why** patterns work | Deep explanations + architecture | Config-focused |
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| **Quick setup** for projects | Available but not the priority | Battle-tested production configs |
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| **Learn trade-offs** (agents vs skills) | Decision frameworks + comparisons | Lists patterns, no trade-off analysis |
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| **Security hardening** | Only threat database (18 CVEs) | Basic patterns only |
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| **Security hardening** | Only threat database (24 CVEs) | Basic patterns only |
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| **Test understanding** | 271-question quiz | Not available |
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| **Methodologies** (TDD/SDD/BDD) | Full workflow guides | Not covered |
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| **Copy-paste ready** templates | 175 templates | 200+ templates |
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@ -75,7 +75,7 @@ Both guides serve different needs. Choose based on your priority.
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```
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**4 unique gaps no competitor covers:**
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1. **Security-First** — 18 CVEs + 341 malicious skills tracked (no competitor has this depth)
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1. **Security-First** — 24 CVEs + 655 malicious skills tracked (no competitor has this depth)
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2. **Methodology Workflows** — TDD/SDD/BDD comparison + step-by-step guides
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3. **Comprehensive Reference** — 19K lines across 16 specialized guides (24× more reference material than everything-cc)
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4. **Educational Progression** — 271-question quiz, beginner → expert path
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@ -233,8 +233,8 @@ graph LR
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**Outcome**: Protect production systems from AI-specific attacks.
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**Only guide with systematic threat tracking**:
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- **18 CVE-mapped vulnerabilities** — Prompt injection, data exfiltration, code injection
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- **341 malicious skills catalogued** — Unicode injection, hidden instructions, auto-execute patterns
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- **24 CVE-mapped vulnerabilities** — Prompt injection, data exfiltration, code injection
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- **655 malicious skills catalogued** — Unicode injection, hidden instructions, auto-execute patterns
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- **Production hardening workflows** — MCP vetting, injection defense, audit automation
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[Threat Database →](./machine-readable/threat-db.yaml) | [Security Guide →](./guide/security-hardening.md)
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@ -427,7 +427,7 @@ Claude Code can generate 1.75x more logic errors than human-written code ([ACM 2
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### 2. Never Approve MCPs from Unknown Sources
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18 CVEs identified in Claude Code ecosystem. 341 malicious skills in supply chain. MCP servers can read/write your codebase.
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24 CVEs identified in Claude Code ecosystem. 655 malicious skills in supply chain. MCP servers can read/write your codebase.
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**Strategy:** Systematic audit (5-min checklist). Community-vetted MCP Safe List. Vetting workflow documented in guide.
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@ -462,7 +462,7 @@ TDD/SDD/BDD are not optional with Claude Code. AI accelerates bad code as much a
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| # | Rule | Key Metric | Action |
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|---|------|------------|--------|
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| 1 | Verify Trust | 1.75x more logic errors | Test everything, peer review |
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| 2 | Vet MCPs | 18 CVEs, 341 malicious skills | 5-min audit checklist |
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| 2 | Vet MCPs | 24 CVEs, 655 malicious skills | 5-min audit checklist |
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| 3 | Manage Context | 70% = precision loss | `/compact` at 70%, `/clear` at 90% |
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| 4 | Start Simple | 2-week test period | Phase 1→4 progressive adoption |
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| 5 | Use Methodologies | AI amplifies good AND bad | TDD/SDD/BDD by context |
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@ -552,13 +552,13 @@ claude plugin install session-summary@florian-claude-tools
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| Tool | Purpose | Maintained By |
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|------|---------|---------------|
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| [claude-code-security-review](https://github.com/anthropics/claude-code-security-review) | GitHub Action for automated security scanning | Anthropic (official) |
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| This Guide's Threat DB | Intelligence layer (18 CVEs, 341 malicious skills) | Community |
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| This Guide's Threat DB | Intelligence layer (24 CVEs, 655 malicious skills) | Community |
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**Workflow**: Use GitHub Action for automation → Consult Threat DB for threat intelligence.
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### Threat Database
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**18 CVE-mapped vulnerabilities** and **341 malicious skills** tracked in [`machine-readable/threat-db.yaml`](./machine-readable/threat-db.yaml):
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**24 CVE-mapped vulnerabilities** and **655 malicious skills** tracked in [`machine-readable/threat-db.yaml`](./machine-readable/threat-db.yaml):
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| Threat Category | Count | Examples |
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|----------------|-------|----------|
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@ -623,7 +623,7 @@ This guide is the result of **6 months of daily practice** with Claude Code. The
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**What you'll find:**
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- Patterns verified in production (not theory)
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- Trade-off explanations (not just "here's how to do it")
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- Security first (18 CVEs tracked)
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- Security first (24 CVEs tracked)
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- Transparency on limitations (Claude Code isn't magic)
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**What you won't find:**
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