PyShield
PyShield is a developer-focused, open-source static security analysis platform for Python projects, maintained under the ZN-Forge organization.
Its primary purpose is to help developers identify potential security vulnerabilities in their code before reaching production through fast, deterministic AST analysis.
[!NOTE] Current Status: Version 0.1.0 (Core Engine, Injection, Secrets & Cryptography) PyShield v0.1.0 provides a fast, deterministic static analysis engine, rule registry, code execution/injection rules, secret detection, and cryptography security analysis. All detected secrets are automatically masked in output to prevent sensitive data leakage. Future capabilities (SARIF export, dependency scanning, React UI, etc.) are planned for upcoming releases.
Core Philosophy
- Deterministic-First: Security detection is powered primarily by deterministic AST analysis and strict rules. Findings are verifiable and reproducible.
- Local-First & Privacy-Focused: Source code is analyzed entirely on your local machine and is never transmitted to external services.
- Secret Protection by Design: Detected secret values and key material are masked in terminal reports and findings to prevent credential exposure.
- Core Decoupling: The static security analysis engine is strictly decoupled from presentation, web server, and persistence layers.
- Minimal Dependencies: The core analysis leverages Python's built-in
aststandard library to remain fast, lightweight, and maintainable. - Zero False-Positive Focus: Rules are designed conservatively to highlight high-confidence security hazards without flooding developers with noise.
Supported Rules
Execution & Code Injection (Phase 1)
| Rule ID | Name | Severity | CWE | Description |
|---|---|---|---|---|
PS101 |
Dangerous eval() usage |
CRITICAL |
CWE-95 | Detects calls to built-in eval(), preventing dynamic code execution risks. |
PS102 |
Dangerous exec() usage |
CRITICAL |
CWE-95 | Detects calls to built-in exec(), preventing dynamic statement execution vulnerabilities. |
PS103 |
Use of os.system() |
HIGH |
CWE-78 | Detects calls to os.system() which execute commands via shell strings. |
PS104 |
Unsafe subprocess execution |
HIGH |
CWE-78 | Detects subprocess execution calls configured with shell=True. |
Secret & Key Material Detection (Phase 2)
| Rule ID | Name | Severity | CWE | Description |
|---|---|---|---|---|
PS201 |
Hardcoded Secret / Credential | HIGH |
CWE-798 | Detects hardcoded passwords, tokens, secrets, and API keys with entropy filtering and placeholder exclusion. |
PS202 |
Private Key Material | CRITICAL |
CWE-321 | Detects hardcoded RSA, EC, DSA, and OpenSSH private key PEM headers and content. |
PS203 |
High-Confidence API Token | HIGH |
CWE-798 | Detects provider-specific tokens (AWS, GitHub classic/fine-grained, Slack, Google, Stripe) using strict patterns. |
Cryptographic Analysis (Phase 2)
| Rule ID | Name | Severity | CWE | Description |
|---|---|---|---|---|
PS301 |
Weak Hash Algorithm | MEDIUM |
CWE-328 | Detects insecure MD5 and SHA-1 hashing via hashlib (exempts usedforsecurity=False). |
PS302 |
Insecure Cryptographic Algorithm | HIGH |
CWE-327 | Detects broken legacy ciphers (DES, 3DES, Blowfish, ARC4) in cryptography and PyCryptodome. |
PS303 |
Insecure Randomness | HIGH |
CWE-338 | Detects use of standard pseudo-random random module in security-sensitive contexts (tokens, salts, keys, auth). |
Installation
PyShield can be installed from PyPI using pip or uv:
# Using pip
pip install pyshield-security
# Using uv
uv add pyshield-security
# Or as a global CLI tool using uv:
uv tool install pyshield-security
[!NOTE] The PyPI distribution package name is
pyshield-security. The command-line command ispyshield, and the Python import package ispyshield:pyshield --versionimport pyshield
Development Setup
For local development or contributing, clone the repository and synchronize the isolated virtual environment using uv:
Prerequisites
- Python 3.11 or higher
uvpackage manager
Setup
git clone https://github.com/ZN-Forge/pyshield.git
cd pyshield
uv sync
This creates a project-local .venv/ containing all runtime and development dependencies locked in uv.lock.
CLI Usage
Check Version
# Direct CLI command (if installed via pip or uv tool):
pyshield --version
# Or inside the local development environment:
uv run pyshield --version
Scan Current Directory
uv run pyshield scan .
Scan Specific Directory or File
uv run pyshield scan src/
uv run pyshield scan app/main.py
CLI Options
Usage: pyshield scan [OPTIONS] [PATHS]...
Arguments:
[PATHS]... One or more paths to scan (default: current directory)
Options:
--fail-on [LOW|MEDIUM|HIGH|CRITICAL]
Minimum severity to trigger non-zero exit code [default: LOW]
-e, --exclude TEXT Additional glob patterns or directories to exclude
-d, --disable-rule TEXT Rule ID to disable (e.g. -d PS101)
--enable-rule TEXT Explicit rule ID to run (e.g. --enable-rule PS103)
--help Show help message and exit
Exit Codes
0: Scan completed successfully; no findings at or above configured failure threshold.1: Security findings detected at or above configured failure threshold.2: Fatal error (target path not found, or all target files failed parsing).
Development & Quality Gates
PyShield enforces strict quality gates before any code is merged:
# Run tests with coverage
uv run pytest --cov=pyshield --cov-report=term-missing
# Run Ruff linter
uv run ruff check .
# Run Ruff format check
uv run ruff format --check .
# Run strict type checking
uv run mypy src
Planned Architecture (Future Phases)
The following capabilities are deliberately planned for subsequent phases:
- Phase 1 (Completed): Core static analysis engine, rule registry, injection rules (
PS101–PS104), CLI, and terminal reporter. - Phase 2 (Completed): Secret detection engine (
PS201–PS203) and Cryptography rules (PS301–PS303) with zero leakage protection. - Phase 3+: Dependency vulnerability scanning (
PS8xx) and Framework-specific rules (Django, FastAPI, Flask). - Phase 4+: Standard SARIF, JSON, and Markdown export formats.
- Phase 5+: Optional Local AI analysis layer (via Ollama / llama.cpp) to explain and contextualize deterministic findings.
- Phase 6+: Local Web UI (React + TypeScript + Vite + Tailwind CSS) with FastAPI backend and SQLite persistence.
- Phase 7+: Comprehensive product/documentation website on GitHub Pages and contributor ecosystem.
License
This project is licensed under the MIT License.
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