#pcfg — Public Fediverse posts

pcfg-go v0.6.0-dev (upcoming release)

While testing hashcat's new -a 4 PCFG mode with different hash lists and Rules trained with pcfg-go, atom (https://github.com/jsteube) mentioned something to me that I couldn't shake: “that needs a fast trainer”.

But, pcfg-go was already fast, right? How much faster did it need to be?

I was determined to find the answer to this question and pored over possible optimizations in pcfg-go.

The result? Let's first back up a minute to run a few comparisons.

The original Python3 pcfg_cracker trainer.py took 13m21s to train rockyou.

pcfg-go v0.5.3 brought rockyou training down to 2m38s.

And finally, pcfg-go v0.6.0-dev brings rockyou training down to 14.8s.

Yes, from 13m21s to 14.8s. Now, that's a fast trainer. 😎

More info and full write up:
https://forum.hashpwn.net/post/15973

#pcfg #pcfg_crack #pcfggo #hashcat #hashcracking #atom @lakiw

Announced yesterday on Discord, @hashcat commit ce90358 adds PCFG `-a 4` attack mode.

Compatible trainers:

@lakiw's pcfg_cracker
https://github.com/lakiw/pcfg_cracker

@cyclone's pcfg-go
https://github.com/cyclone-github/pcfg-go

@Waffle_Real's Cpcfg
https://github.com/Cynosureprime/Cpcfg

More info:
https://github.com/hashcat/hashcat/commit/ce90358b2251726c99742e5761ae3dfd41dbd4b2

#hashcat #pcfg #pcfg_cracker #pcfggo #cpcfg #passwordcracking

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.

https://forum.hashpwn.net/post/11277

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

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: https://forum.hashpwn.net/post/11277

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

#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.

https://arstechnica.com/information-technology/2023/04/the-passgan-ai-password-cracker-what-it-is-and-why-its-mostly-hype/