Social-Engineer Toolkit (SET)
The Social-Engineer Toolkit (SET) is an open-source, Python-driven resource created by Dave Kennedy, designed specifically for social-engineering penetration testing. With over two million downloads, it has become the go-to tool for security professionals, enabling them to simulate advanced attacks effectively and enhance defenses against prevalent social-engineering threats.
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Top Social-Engineer Toolkit (SET) Features
- Open-source Python-based toolkit
- Social engineering test scenarios
- Advanced phishing attack simulations
- Customizable attack vectors
- User-friendly command-line interface
- Comprehensive reporting features
- Integration with Metasploit
- Multi-language support options
- Community-driven enhancements
- Extensive documentation and tutorials
- Active GitHub support community
- Regular updates and enhancements
- Real-time feedback during testing
- Capability to mimic real-world attacks
- Versatile application in training
- Built-in credential harvesting tools
- Virtual machine compatibility
- Easy installation process
- Supports various operating systems
- Scenario-based training modules
