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hashcat is the world's fastest and most advanced password recovery utility, supporting five unique modes of attack for over 300 highly-optimized hashing algorithms. hashcat currently supports CPUs, GPUs, and other hardware accelerators on Linux, Windows, and macOS, and has facilities to help enable distributed password cracking. Download the latest release and unpack it in the desired location. Please remember to use 7z x when unpacking the archive from the command line to ensure full file paths remain intact. Multi-Device-Types (Utilizing mixed device types in same system). ...

...There are already several login hacker tools available, however, none does either support more than one protocol to attack or support parallelized connects. It was tested to compile cleanly on Linux, Windows/Cygwin, Solaris, FreeBSD/OpenBSD, QNX (Blackberry 10) and MacOS. However the module engine for new services is very easy so it won't take a long time until even more services are supported. Via the command line options you specify which logins to try, which passwords, if SSL should be used, how many parallel tasks to use for attacking, etc. ...

Written in C/CUDA, this tool recovers lost mnemonics and passphrases for BTC, ETH, TRX, DOGE, LTC, DASH, ZEC, BCH, and BTG. Supports BIP32/44/49/84 derivation paths. Features partial phrase recovery and a built-in dictionary for fast, efficient results. Compliant with wallet standards.

Address to hash160 is an efficient multi-threaded tool designed to decode various cryptocurrency addresses (such as Bitcoin BTC,Bitcoin Cash BCH, Litecoin LTC, Bitcoin Gold BTG, etc.) to extract hash160 values. It is often used in research such as brainflayer, keyhunt, BitCrack, ecloop, keyhunt cuda, etc.

Ophcrack is a Windows password cracker based on a time-memory trade-off using rainbow tables. This is a new variant of Hellman's original trade-off, with better performance. It recovers 99.9% of alphanumeric passwords in seconds.

OMEN is a Markov model-based password guesser written in C. It generates password candidates according to their occurrence probabilities, i.e., it outputs most likely passwords first. OMEN significantly improves guessing speed over existing proposals. If you are interested in the details on how OMEN improves on existing Markov model-based password guessing approaches, please refer to OMEN: Faster Password Guessing Using an Ordered Markov Enumerator. OMEN consists of two separate program...