A Ruby-based command-line tool for analyzing password dumps to generate statistics and insights for security reports.
Pipal is a command-line password analyzer written in Ruby that processes large dumps of cracked passwords to generate detailed statistics and insights. It helps security professionals identify common password patterns, weaknesses, and user behaviors to enhance security assessments and reporting.
Penetration testers, security researchers, and red teamers who need to analyze password dumps from internal assessments or breaches to understand security vulnerabilities.
Developers choose Pipal for its focused, efficient analysis of password data without external dependencies, offering modular checkers and geographical insights to uncover trends that simpler tools might miss.
Pipal, THE password analyser
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Version 2 introduced massive speed improvements, processing 3.5 million password records in about 15 minutes, as highlighted in the version history for large datasets.
Uses customizable checkers for specific analysis tasks, allowing users to add new features without modifying core code, as described in the modular checkers feature.
Completely self-contained with no gems required, working on any vanilla Ruby install, making deployment straightforward and lightweight.
Generates detailed stats like top passwords, character sets, lengths, and pattern analysis such as keyboard walks, providing raw data for in-depth security reporting.
The README admits in the Feedback/Todo section that it doesn't handle certain character encodings well, leading to inaccurate analysis of passwords with special or international characters.
Geographical lookups are limited to US area and zip codes, reducing utility for global datasets, and the Google Maps API integration is optional but potentially unreliable as noted in the usage instructions.
The README acknowledges the code is not very efficient and plans a rewrite for multi-threading, which might affect performance on extremely large datasets and indicates maintenance challenges.