AutoSTRIDE-DJ
✓ Automated security analysis for Django
Automated STRIDE threat modeling for Django apps. Static analysis produces deterministic threat reports (JSON/MD/CSV) and data flow diagrams (Mermaid/Graphviz).
The Problem
Manual threat modeling is time-consuming and inconsistent. Security reviews happen too late in the development cycle. Developers don't have security expertise to identify threats. Existing threat modeling tools are expensive and complex.
The Solution
A CLI tool that analyzes Django projects and automatically identifies potential threats using the STRIDE methodology. Scans views, models, forms, and settings to detect issues like missing authentication, SQL injection risks, CSRF gaps, and more. Produces structured reports and data flow diagrams.
Results
- Threat modeling in minutes instead of hours
- Consistent, reproducible security analysis
- Developers can run security checks in CI/CD
- DFD diagrams generated automatically
- Multiple output formats (JSON, MD, CSV)
Key Features
Tech Stack
| Technology | Purpose |
|---|---|
| Python | Core implementation |
| AST (Abstract Syntax Tree) | Static code analysis |
| Django | Target framework |
| Mermaid | DFD rendering |
| Graphviz DOT | Alternative DFD format |
| Click | CLI interface |
Security
- • No code execution (static analysis only)
- • No external network calls
- • Safe to run on any codebase
- • Open source, auditable
Performance
- • Analyzes typical Django project in <10s
- • Parallel file processing
- • Cached AST parsing
- • Minimal memory footprint
Deployment
- • pip install autostride-dj
- • Runs as CLI tool
- • GitHub Actions integration example
- • Pre-commit hook support
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