An optimized hashcat rule set for password cracking with reduced rule count and zero performance loss against major breach datasets.
OneRuleToRuleThemStill is an optimized hashcat rule set designed for password cracking. It reduces the number of rules by approximately 6.9% compared to its predecessor while maintaining identical performance against major data breaches like Lifeboat and LastFM. The project addresses the need for more efficient password cracking tools by eliminating redundant rules and improving modeling with larger datasets.
Security researchers, penetration testers, and red teamers who use hashcat for password cracking and want optimized rule sets for efficiency.
Developers choose OneRuleToRuleThemStill because it offers a scientifically optimized rule set that reduces complexity without sacrificing effectiveness, backed by testing against real-world breach data.
A revamped and updated version of my original OneRuleToRuleThemAll hashcat rule
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Achieves a 6.9% reduction in rules through de-duplication, speeding up hashcat processing without losing effectiveness, as stated in the README.
Maintains full cracking performance against Lifeboat and LastFM breaches despite fewer rules, ensuring reliable results for security tests.
Uses the LastFM breach dataset with ~21 million hashes for better modeling and rule frequency ordering, enhancing real-world applicability.
Builds on established rule sets like Hob0Rules and KoreLogicRules, leveraging community expertise and tested methodologies, as credited in the README.
Optimized only for Lifeboat and LastFM breaches, which may not generalize well to other password corpora, reducing effectiveness in diverse scenarios.
Lacks automatic updates for new breaches or evolving trends, requiring manual maintenance to stay current, as it's a fixed collection based on past data.
Relies heavily on user familiarity with hashcat, with only a blog post for context, posing a barrier for those new to rule-based attacks.