All notable changes to DeepSec AI Pentester will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- Web interface for easier interaction
- Cloud infrastructure testing module
- Mobile application security testing
- Team collaboration features
- Integration with popular SIEM systems
- 🎉 Initial release of DeepSec AI Pentester
- Autonomous penetration testing engine
- AI-powered decision making system
- Comprehensive knowledge base (ethics, methodology, capabilities)
- Interactive chat mode for Q&A
- Professional report generation (HTML, PDF, JSON)
- Port scanning and service detection
- Web application enumeration
- SMB/NFS enumeration capabilities
- DNS reconnaissance
- Basic exploitation framework
- Privilege escalation detection
- Password cracking integration
- Configuration file support (YAML)
- Logging system with multiple levels
- Safety features and authorization checks
- Rate limiting and blacklist support
- Reconnaissance: nmap, masscan, DNS enumeration
- Web Testing: Directory bruteforce, vulnerability scanning
- Network: SMB enumeration, share discovery
- Exploitation: Automated exploit selection
- Reporting: Executive summaries, technical details, remediation
- Chat Mode: Real-time Q&A about pentesting
- Implemented authorization checks
- Added ethical guidelines enforcement
- Built-in rate limiting
- Emergency stop functionality
- Blacklist support for protected targets
- Beta testing phase
- Core AI integration
- Basic scanning capabilities
- Prototype report generation
- Improved AI decision-making algorithms
- Enhanced knowledge base structure
- Port scanning timeout issues
- Report formatting bugs
- Alpha release for internal testing
- Proof of concept implementation
- Basic reconnaissance features
- v1.0.0 - Production ready release
- v0.9.0 - Beta testing phase
- v0.5.0 - Alpha release
- v0.1.0 - Initial concept
For issues and feature requests, please visit our GitHub Issues page.