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- Source: cupp
- Section: misc
- Priority: optional
- Maintainer: Marcio de Souza Oliveira <m.desouza20@gmail.com>
- Build-Depends: debhelper (>= 10), python, python3, dh-python
- Standards-Version: 3.9.8
- Homepage: https://github.com/Mebus/cupp
- Vcs-Git: https://github.com/marciosouza20/cupp.git
- Vcs-Browser: https://github.com/marciosouza20/cupp.git
- Package: cupp
- Architecture: all
- Depends: ${shlibs:Depends}, ${misc:Depends}, ${python:Depends}
- Conflicts: cupp3
- Description: generate dictionaries for attacks from personal data
- CUPP (Common User Passwords Profiler) is a wordlist generator tool that
- can generate wordlists from information such as a birthday, nickname,
- address, name of a pet or relative, or a common word such as God, love,
- money or password.
- .
- A weak password might be very short or only use alphanumeric characters,
- making decryption simple. A weak password can also be one that is easily
- guessed by someone profiling the user, such as a birthday, nickname,
- address, name of a pet or relative, or a common word such as God, love,
- money or password. From a social engineering you can obtain information
- to use with the CUPP, this way the tool can create a very effective
- dictionary for brute force attacks or dictionary attacks.
- .
- That is why CUPP has born, and it can be used in situations like security
- penetration tests or forensic crime investigations.
- .
- This package install cupp that uses python2.
- Package: cupp3
- Architecture: all
- Depends: ${shlibs:Depends}, ${misc:Depends}, ${python3:Depends}
- Conflicts: cupp
- Description: generate dictionaries for attacks from personal data version for python3
- CUPP (Common User Passwords Profiler) is a wordlist generator tool that
- can generate wordlists from information such as a birthday, nickname,
- address, name of a pet or relative, or a common word such as God, love,
- money or password.
- .
- A weak password might be very short or only use alphanumeric characters,
- making decryption simple. A weak password can also be one that is easily
- guessed by someone profiling the user, such as a birthday, nickname,
- address, name of a pet or relative, or a common word such as God, love,
- money or password. From a social engineering you can obtain information
- to use with the CUPP, this way the tool can create a very effective
- dictionary for brute force attacks or dictionary attacks.
- .
- That is why CUPP has born, and it can be used in situations like security
- penetration tests or forensic crime investigations.
- .
- This package install cupp that uses python3.
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