A while back we had Wyd â Automated Password Profiling Tool but the guys at remote-exploit seem to have superseded this with CUPP.
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There are other similar options too â The Associative Word List Generator (AWLG) and also RSMangler â Keyword Based Wordlist Generator For Bruteforcing.
People spend a lot of time preparing for effective dictionary attack. Common User Passwords Profiler (CUPP) is made to simplify this attack method that is often used as last resort in penetration testing and forensic crime investigations. 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.
Going through different combinations and algorithms, CUPP can predict specific target passwords by exploiting human vulnerabilities. In password creation, as in many aspects of life, everybody tends to the original solution, but thanks to human nature, we all tend to originality in the same way, leading to almost absolute predictability.
You can download CUPP v3.1 here:
Download Wordlist Password
Or read more here.
Hello Friends!! Today we are going explore the function of Cupp which is an authoritative tool that creates a wordlist especially particular for a person that can be used while making brute force attack for guessing login credential.
Table of Content
Introduction to Cupp
Cupp stands for Common User Passwords Profiler and this tool can be used in many circumstances like license penetration tests or forensic crime investigations, CUPP is a cross-platform and written in Python and itâs functioning is simple but with very powerful results. This application is a social engineerâs best friend when it comes to creating targeted password dictionaries which are tailored to an individual.
How Cupp Works
Cupp takes vectors from the profiling done for an individual, such as their nickname, pets name, childâs birthdate, etc. It works on the principle that a password is, more often, a combination of things known to an individual. These known things are often personal details that are very close to a personâs heart.
In cases when a person might use special notations in place of alphabets (e.g: leet can be written as 133t) Cupp has you covered.
Installation and Configuration
Wordlist Cupp On Mac Download Version
Cupp can be downloaded from GitHub using the âgit cloneâ command. Within the downloaded Cupp folder, run the âcup.pyâ file. Once the file is run, the program shows you the various options it has to offer.
We will be using the interactive option to generate the custom dictionary. You will see that we have the option to input options such as petâs name, childâs name, partners nickname, etc. All these things are highly personal and very common to find these things in a password, one way or another.
Thereâs also an option to add any specific keywords, special characters, and random numbers. Apart from all this, thereâs the option to activate Leet mode, this will make the generated dictionary extremely effective.
Thatâs all, the dictionary now gets made and saved.
Adding to Custom Dictionary
Cupp gives us the option to add more words to our created dictionary. We can customize the kind of words we would like to add by using the provided options.
Now that we have successfully executed the command, now letâs traverse to the location to ensure whether the output has been saved on the file on not. In this case, our location for output is /root/cupp /raj.txt.cupp.txt
Downloading Dictionaries from Cupp Repository
Cupp has its own repositories of dictionaries which are pre-classified. These dictionaries can be downloaded and used. The downloaded files are compressed and have to be uncompressed to be viewed.
Enter the number to choose a name to select the dictionary you want to download, we have pressed 16 and downloaded to view a dictionary of Hindi names.
Author: Shubham Sharma is a Cybersecurity enthusiast and Researcher in the field of WebApp Penetration testing. Contact here
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