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#pcfg — Public Fediverse posts

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  1. pcfg-go v0.5.3 has been released.

    This release focuses heavily on pcfg_guesser performance and memory efficiency:

    • half the memory usage of v0.5.2
    • 2x faster than v0.5.2
    • 2,578% faster than the original Python3 pcfg_guesser.py

    Twice the speed with half the memory usage? Nice.

    forum.hashpwn.net/post/11277

    #pcfg #wordlist #generator #hashcracking #golang #hashpwn

  2. pcfg-go v0.5.3 has been released.

    This release focuses heavily on pcfg_guesser performance and memory efficiency:

    • half the memory usage of v0.5.2
    • 2x faster than v0.5.2
    • 2,578% faster than the original Python3 pcfg_guesser.py

    Twice the speed with half the memory usage? Nice.

    forum.hashpwn.net/post/11277

    #pcfg #wordlist #generator #hashcracking #golang #hashpwn

  3. Released pcfg-go — a full Go rewrite of pcfg_cracker with ~3× faster training, ~40× faster guessing, $HEX[] and multi-byte support, improved trainer parsing...

    Full Details: forum.hashpwn.net/post/11277

    #pcfg #hashcracking #trainer #guesser #wordlist #generator #hashcat #hashpwn

  4. Released pcfg-go — a full Go rewrite of pcfg_cracker with ~3× faster training, ~40× faster guessing, $HEX[] and multi-byte support, improved trainer parsing...

    Full Details: forum.hashpwn.net/post/11277

    #pcfg #hashcracking #trainer #guesser #wordlist #generator #hashcat #hashpwn

  5. #AI based #password candidate generation is super interesting to me, but so far the best generators (CMU's #neuralnetwork based generator presented at #USENIX 16, and Dr Matt Weir's #PCFG generator) are still about on par with existing #Markov implementations and rule-based #cracking.

    #PassGAN, on the other hand, falls well short of existing password cracking techniques and candidate generators.

    While I hold out a lot of hope for future AI-powered password cracking, it ain't here yet, and it definitely isn't PassGAN.

    arstechnica.com/information-te

  6. #AI based #password candidate generation is super interesting to me, but so far the best generators (CMU's #neuralnetwork based generator presented at #USENIX 16, and Dr Matt Weir's #PCFG generator) are still about on par with existing #Markov implementations and rule-based #cracking.

    #PassGAN, on the other hand, falls well short of existing password cracking techniques and candidate generators.

    While I hold out a lot of hope for future AI-powered password cracking, it ain't here yet, and it definitely isn't PassGAN.

    arstechnica.com/information-te