A Python tool for generating custom wordlists by profiling users to guess weak passwords during penetration tests.
CUPP (Common User Passwords Profiler) is a Python tool that generates custom wordlists for password cracking by profiling users based on personal information. It helps security professionals identify weak passwords during authorized penetration tests or forensic investigations by creating targeted dictionaries from details like birthdays, pet names, and common words.
Security researchers, penetration testers, and forensic investigators who need to test password strength in legal security assessments.
CUPP provides a focused, user-profiling approach to password cracking that is more efficient than generic wordlists, making it particularly effective for targeted security testing where personal information is available.
Common User Passwords Profiler (CUPP)
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Uses interactive questioning (-i option) to create personalized password candidates based on user details like birthdays and pet names, making it highly effective for focused security testing.
Supports processing outputs from tools like WyD.pl (-w option) and integrates with Alecto DB (-a option) to enhance dictionary creation with default credentials.
Includes an option to download large wordlists from repositories (-l option), providing a broad base for password cracking without starting from scratch.
Explicitly designed for legal penetration tests and forensic investigations, as stated in the README, ensuring responsible application in security contexts.
Effectiveness is heavily limited to scenarios where personal details of the target are available, reducing utility for anonymous or large-scale attacks.
The profiling requires interactive input, which can be time-consuming and not scalable for automated or high-speed password cracking workflows.
Requires Python 3 and configuration via cupp.cfg, adding setup overhead compared to standalone executables or tools with broader ecosystem support.