ai-ml-attacks
This skill should be used when the user asks about "AI security", "ML pipeline attacks", "prompt injection", "model deserialization", "unsafe model loading",…
This skill should be used when the user asks about "framework vulnerabilities", "Next.js security", "Flask security", "Django security", "Rails security", "Spring security", "GraphQL security", "Server Actions", "render_template_string", "SSTI patterns", "redirect SSRF", "mass
$ npx -y skills add allsmog/vuln-scout --skill framework-patterns --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/framework-patternsContext preview
The summary Claude sees to decide when to auto-load this skill.
This skill should be used when the user asks about "framework vulnerabilities", "Next.js security", "Flask security", "Django security", "Rails security", "Spring security", "GraphQL security", "Server Actions", "render_template_string", "SSTI patterns", "redirect SSRF", "mass
name: framework-patterns description: This skill should be used when the user asks about "framework vulnerabilities", "Next.js security", "Flask security", "Django security", "Rails security", "Spring security", "GraphQL security", "Server Actions", "render_template_string", "SSTI patterns", "redirect SSRF", "mass assignment", "actuator exposure", "SpEL injection", "introspection", or needs to identify framework-specific vulnerability patterns during whitebox security review.
Framework-specific vulnerability patterns that arise from how modern web frameworks handle requests, responses, and data flow. These patterns are more durable than version-specific CVEs.
1. **Frameworks have implicit behaviors** - redirect(), Server Actions, template rendering have side effects 2. **Trust assumptions differ** - Internal vs external, server vs client boundaries 3. **Chains emerge** - Framework A's feature enables exploitation of Framework B's weakness
1. **Identify frameworks** in use (package.json, requirements.txt, Gemfile) 2. **Search for pattern signatures** specific to each framework 3. **Map data flow** from user input to dangerous framework APIs 4. **Check for sanitization** or validation before reaching sink
During `/full-audit`: 1. Step 1 identifies frameworks during language detection 2. Step 2 threat model considers framework-specific trust boundaries 3. Step 4 deep dive uses framework-specific sink patterns
Frontend: Next.js with Server Actions Backend: Flask with Jinja2 templates Chain: 1. Server Action uses redirect() → Host header controls internal fetch URL 2. SSRF reaches Flask backend on internal port 3. Flask uses render_template_string() with user input 4. SSTI → RCE via Jinja2 payload
This pattern detection focuses on the **code behavior**, not version numbers.
AI-powered whitebox penetration testing plugin for Claude Code. 9 languages, 22 skills, 7 autonomous agents. STRIDE threat modeling, OWASP 2025 coverage, polyglot monorepo support.
Repo: allsmog/vuln-scout
This skill should be used when the user asks about "AI security", "ML pipeline attacks", "prompt injection", "model deserialization", "unsafe model loading",…
This skill should be used when the user asks about "business logic", "workflow vulnerability", "trust boundary", "state machine", "authorization bypass",…
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This skill should be used when the user asks about "cloud security", "AWS security", "GCP security", "Azure security", "Kubernetes security", "IMDS", "instance…
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