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Security: ritikkumarv/agent-tester

Security

SECURITY.md

Security Policy

Supported Versions

We release patches for security vulnerabilities for the following versions:

Version Supported
1.0.x βœ…
< 1.0 ❌

Reporting a Vulnerability

We take the security of the AI Agent Testing Framework seriously. If you discover a security vulnerability, please follow these steps:

1. DO NOT Open a Public Issue

Please do not report security vulnerabilities through public GitHub issues.

2. Report via Private Channel

Instead, please report security vulnerabilities by email to:

  • Email: [Will update later]

Include the following information:

  • Type of vulnerability
  • Full paths of source file(s) related to the vulnerability
  • Location of the affected source code (tag/branch/commit or direct URL)
  • Step-by-step instructions to reproduce the issue
  • Proof-of-concept or exploit code (if possible)
  • Impact of the vulnerability and how an attacker might exploit it

3. Response Timeline

  • Initial Response: Within 48 hours of report
  • Status Update: Within 7 days with validation of the vulnerability
  • Fix Timeline: Varies based on severity (Critical: <7 days, High: <14 days, Medium: <30 days)

Security Best Practices

For Users

  1. Never commit credentials

    • Never hardcode API keys, secrets, or passwords in code
    • Use environment variables for sensitive data
    • Add .env files to .gitignore
    • Use the provided .env.example as a template
  2. Keep dependencies updated

    pip install --upgrade -r requirements.txt
  3. Use virtual environments

    python -m venv .venv
    .\.venv\Scripts\Activate.ps1  # Windows
    source .venv/bin/activate      # Linux/Mac
  4. Validate external inputs

    • Never pass untrusted data to eval() or exec()
    • Validate all user inputs before processing
    • Use the built-in safe constraint validators
  5. Secure API key storage

    • Use Azure Key Vault for production deployments
    • Rotate API keys regularly
    • Use service principals with minimal permissions

For Contributors

  1. Code Review

    • All code changes require review before merging
    • Security-sensitive changes require additional review
  2. Dependency Management

    • Pin dependency versions in requirements.txt
    • Review security advisories for dependencies
    • Use pip-audit to check for known vulnerabilities
  3. Testing

    • Include security tests for new features
    • Test with invalid/malicious inputs
    • Never commit test data containing real credentials

Known Security Considerations

1. API Key Management

  • This framework requires API keys for AI services
  • Keys must be stored securely using environment variables
  • Never commit .env files to version control

2. Agent Output Validation

  • Agent outputs should be validated before use
  • Do not execute agent-generated code without review
  • Be cautious with file system operations based on agent output

3. Dependency Security

  • This framework depends on third-party packages
  • Regularly update dependencies to patch security issues
  • Review security advisories for:
    • openai
    • anthropic
    • langchain
    • azure-ai-projects
    • pydantic

Security Updates

Security updates will be published as:

  1. GitHub Security Advisories
  2. Release notes with [SECURITY] tag
  3. Updated documentation in this file

Compliance

This framework follows security best practices including:

  • OWASP Top 10 awareness
  • Secure coding standards
  • Least privilege principle
  • Defense in depth

Built-in Security Scanner

Agent Tester includes a comprehensive security module that helps you maintain security in your projects:

Automated Security Scanning

Run security scans on your codebase:

# Scan current repository
agent-tester security

# Show only critical/high issues
agent-tester security --severity high

# Generate JSON report
agent-tester security --format json --output report.json

Security Features

The security module provides:

  • SAST (Static Application Security Testing) - Detect code injection, SQL injection, hardcoded secrets
  • Dependency Scanning - Find CVEs in third-party packages
  • Configuration Security - Check for exposed secrets, Docker issues, CI/CD vulnerabilities
  • Knowledge Base - Integration with OWASP Top 10, SANS Top 25, MITRE ATT&CK

πŸ‘‰ Read Security Module Documentation

πŸ‘‰ Read Cybersecurity Role Definition

Additional Resources

Disclosure Policy

We follow responsible disclosure:

  • Security researchers are given credit for their findings
  • Fixes are developed and tested privately
  • Public disclosure occurs after patch release
  • CVEs are assigned for significant vulnerabilities

Contact

For security concerns, please contact:

  • Security Team: [Will update the mail later]
  • Project Maintainer: Ritik Kumar

Last Updated: November 2025

There aren't any published security advisories