A word generator using per-position Markov chains for password cracking and dictionary generation.
Statsprocessor is a word generator based on per-position Markov chains, designed for creating realistic password candidates. It analyzes input dictionaries to build statistical models of character sequences, then generates new words that mimic real password patterns. The tool is commonly used in password security testing and dictionary-based attacks.
Security researchers, penetration testers, and password recovery specialists who need to generate high-probability password candidates for testing and analysis.
Developers choose Statsprocessor for its efficient use of Markov chains to generate statistically accurate word lists, packaged as a standalone binary for cross-platform use without dependencies.
Word-generator based on per-position markov-chains
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Uses per-position Markov chains to generate high-probability sequences, as demonstrated in the README example where 's' is the most common starting letter.
Packaged as standalone executables for Linux, Windows, and macOS, making deployment easy without dependencies, as noted in the binary distribution section.
Supports --pw-min and --pw-max flags to control password lengths, allowing targeted generation for security testing, shown in the example command.
Builds statistical models from input dictionaries to create .hcstat files, ensuring generated candidates mimic real-world password patterns.
Requires .hcstat files generated from external dictionaries, adding an extra step before use and limiting out-of-the-box functionality.
Focused solely on Markov chains, lacking support for other password generation techniques like masks or rules, which reduces flexibility.
No graphical user interface is provided, requiring users to be comfortable with terminal commands and parameters, as evident from the README examples.