Hob0Rules
Statistical password cracking rules for Hashcat based on industry patterns and frequency analysis.
What is Hob0Rules?
Hob0Rules is a collection of password cracking rules for Hashcat that use statistical analysis of common password patterns to improve cracking efficiency. It provides rule sets based on frequency analysis of password structures observed across various industries, helping security professionals crack password hashes more effectively during penetration testing.
Security professionals, penetration testers, and red team members who need to test password security and crack password hashes as part of security assessments.
Unlike generic password cracking approaches, Hob0Rules uses statistically significant password patterns derived from real-world data, making it more effective at cracking passwords by focusing on the most common transformation patterns actually used by people.
Overview
Password cracking rules for Hashcat based on statistics and industry patterns
Use Cases
Best For
- Penetration testers needing to quickly crack password hashes during security assessments
Related Projects
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.
