
Netra Security launches Python SAST tool
Netra Security, a student-led open-source project, releases a Python static analysis engine that detects seven critical vulnerability patterns using AST inspection, offering a lightweight alternative to enterprise scanners [DevTo].
Netra Security released its first open-source version, a Python-written static application security testing tool that scans source code for seven high-severity vulnerability patterns [DevTo]. The tool uses Python's built-in ast module to walk the abstract syntax tree and match only actual function-call nodes, reducing false positives [Python Docs].
The current engine reports findings with rule ID, severity, line number, and remediation advice. The rule set includes:
- NETRA-001 – Command Injection (Critical)
- NETRA-002 – Code Injection (Critical)
- NETRA-003 – Hardcoded Password (High)
- NETRA-004 – Hardcoded API Key (High)
- NETRA-005 – Arbitrary Code Execution (Critical)
- NETRA-006 – Insecure Deserialization (High)
- NETRA-007 – Dangerous Subprocess Usage (High)
A sample run on a test script produced five findings, all correctly mapped to the offending lines [DevTo]. The tool can export results as JSON or CSV and is packaged for pip installation. Planned extensions include multi-file project scanning, a Flask-based web dashboard, and CI/CD integration via GitHub Actions.
Netra Security fills the niche between ad-hoc script checks and heavyweight platforms, giving Python shops a zero-cost entry point while exposing the trade-offs of rule-based analysis [DevTo]. As the project matures, its community-driven rule expansion could make it a viable competitor for lightweight CI pipelines.
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