Python Security Scan

Python Security Scan Skill

This skill enables comprehensive security scanning of Python projects based on OWASP guidelines, Python security best practices, and framework-specific vulnerabilities.

When to Use This Skill

• Security audits of Python applications
• Code review for security vulnerabilities
• Pre-deployment security checks
• Dependency vulnerability assessment
• Detecting hardcoded secrets and credentials
• Framework-specific security reviews (Flask, Django, FastAPI)

Supported Frameworks

This skill automatically detects and applies framework-specific checks for:

• Flask - Template injection, session security, CORS, extensions
• Django - ORM injection, CSRF, template security, settings
• FastAPI - Dependency injection, Pydantic validation, OAuth2
• General Python - Core language vulnerabilities applicable to all projects

Scan Types

1. Quick Scan

Fast scan focusing on critical vulnerabilities:

• Hardcoded secrets, API keys, and credentials
• Dangerous function usage (eval, exec, pickle.loads)
• Command injection via subprocess, os.system
• SQL injection patterns
• Known vulnerable dependencies

2. Full Scan

Comprehensive security assessment covering:

• All OWASP Top 10:2025 categories
• Python-specific vulnerabilities
• Framework-specific security issues
• Injection vulnerabilities (SQL, NoSQL, Command, LDAP)
• Insecure deserialization
• Authentication and authorization flaws
• Cryptographic failures
• Security misconfigurations
• Dependency audit (CVE check)
• Environment variable and secrets exposure

3. Targeted Scan

Focus on specific vulnerability categories:

• --injection - SQL/NoSQL/Command/LDAP injection
• --deserialization - Pickle, YAML, JSON deserialization
• --auth - Authentication/authorization issues
• --secrets - Hardcoded credentials
• --deps - Dependency vulnerabilities
• --crypto - Cryptographic issues
• --flask - Flask-specific vulnerabilities
• --django - Django-specific vulnerabilities
• --fastapi - FastAPI-specific vulnerabilities

Scan Procedure

Step 1: Project Discovery

• Identify project type and framework:
• Check for requirements.txt, Pipfile, pyproject.toml, setup.py
• Detect Flask (from flask import), Django (django.conf), FastAPI (from fastapi import)
• Locate configuration files
• Map the codebase structure

Step 2: Framework Detection

# Detection patterns
Flask: "from flask import", "Flask(__name__)"
Django: "django.conf.settings", "INSTALLED_APPS", "manage.py"
FastAPI: "from fastapi import", "FastAPI()"

Step 3: Dependency Audit

Run the dependency audit script:

./scripts/dependency-audit.sh /path/to/project

Or manually:

pip-audit
# or
safety check

Step 4: Secret Scanning

Scan for hardcoded secrets:

python scripts/secret-scanner.py /path/to/project

Important: Environment File Handling

• By default, real .env files are SKIPPED (.env, .env.local, .env.production, etc.)
• These files contain actual secrets and should not be in version control
• Only .env.example and .env.template files are analyzed for documentation quality
• Use --include-env-files flag only if explicitly requested by user

The scanner will:

• Scan source code for hardcoded secrets
• Analyze .env.example templates to check:
• Which sensitive variables are documented
• Whether variables have descriptions (comments)
• If placeholder values look like real secrets
• Suggestions for missing common variables (SECRET_KEY, DATABASE_URL, etc.)

Step 5: Pattern Analysis

For each file in the codebase, check against patterns in:

• references/python-vulnerabilities.md - Core Python issues
• references/injection-patterns.md - Injection flaws
• references/deserialization.md - Insecure deserialization
• references/flask-security.md - Flask vulnerabilities
• references/django-security.md - Django vulnerabilities
• references/fastapi-security.md - FastAPI vulnerabilities

Step 6: Report Generation

Generate a security report using:

• assets/report-template.md - Report structure

Severity Classification

| Severity | Description | Action Required |

|----------|-------------|-----------------|

| CRITICAL | Exploitable vulnerability with severe impact | Immediate fix required |

| HIGH | Significant security risk | Fix before deployment |

| MEDIUM | Potential security issue | Fix in next release |

| LOW | Minor security concern | Consider fixing |

| INFO | Security best practice suggestion | Optional improvement |

Key Files to Scan

Always Check

• **/*.py - All Python source files
• requirements.txt, Pipfile, pyproject.toml - Dependencies
• setup.py, setup.cfg - Package configuration
• config.py, settings.py - Configuration files
• /secrets*, /credentials* - Obvious secret locations

Environment Files

• .env.example, .env.template - SCAN for template analysis
• .env, .env.local, .env.production - SKIP by default (contain real secrets)

Note: Real .env files should never be committed to version control. The scanner analyzes .env.example templates to ensure proper documentation of required variables.

High Priority Locations

• app.py, main.py, wsgi.py - Entry points
• /views.py, /routes.py - Request handlers
• /api//*.py - API endpoints
• /auth*, /login* - Authentication code
• **/models.py - Database models
• **/serializers.py - Data serialization
• **/middleware.py - Middleware code

Framework-Specific

Flask:

• app.py, __init__.py - Application factory
• /blueprints/ - Blueprint routes
• templates/** - Jinja2 templates

Django:

• settings.py, **/settings/*.py - Django settings
• urls.py - URL configuration
• **/views.py - View functions/classes
• **/forms.py - Form definitions
• templates/** - Django templates

FastAPI:

• main.py - Application entry
• /routers/ - API routers
• **/dependencies.py - Dependency injection
• **/schemas.py - Pydantic models

Output Format

Findings should be reported as:

[SEVERITY] Category: Description
  File: path/to/file.py:lineNumber
  Code: <relevant code snippet>
  Risk: <explanation of the security risk>
  Fix: <recommended remediation>

Integration with CI/CD

This skill can generate output compatible with:

• GitHub Security Advisories
• SARIF format for GitHub Code Scanning
• JSON for custom integrations
• JUnit XML for CI pipelines

References

Load additional context as needed:

• references/owasp-top-10.md - OWASP Top 10:2025 quick reference
• references/python-vulnerabilities.md - Python-specific vulnerabilities
• references/injection-patterns.md - Injection vulnerability patterns
• references/deserialization.md - Insecure deserialization patterns
• references/flask-security.md - Flask security guide
• references/django-security.md - Django security guide
• references/fastapi-security.md - FastAPI security guide