pcfg-go
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Title: pcfg-go
Author: cyclone
URL: https://github.com/cyclone-github/pcfg-go
Description: Probabilistic Context Free Grammar (PCFG) password generator in Pure Gopcfg-go
- Probabilistic Context-Free Grammar (PCFG) password generator - Pure Go Edition
- pcfg-go is a Pure Go rewrite of the Python3 pcfg_cracker
- The goal of this Go implementation is to provide a substantial performance improvement over the original Python3 version, while also adding features such as supporting
$HEX[]input/output and multi-byte character support — which is not implemented in the Pure C pcfg_guesser - While the general functionality of pcfg-go is tested and working, this tool is still beta, so please report any issues you run across
- Credits for the original python3 pcfg_cracker belong to the author, lakiw
Install
trainer:
go install github.com/cyclone-github/pcfg-go/cmd/trainer@mainpcfg_guesser:
go install github.com/cyclone-github/pcfg-go/cmd/pcfg_guesser@main
Additions & improvements
- Performance — ~3× faster trainer, ~40× faster pcfg_guesser (see Benchmarks)
- $HEX[] input — Trainer accepts
$HEXencoded passwords in the training wordlist (multi-byte support) - Ctrl+C handling — Pressing Ctrl+C auto saves session on pcfg_guesser
- Multi-keyboard layouts — QWERTY, AZERTY, QWERTZ, Dvorak, JCUKEN (Russian Cyrillic)
- Expanded TLD list — Legacy, ccTLDs, gTLDs (
.info,.xyz,.app,.dev, etc.), and short TLDs (.co,.io,.ai,.me,.gg); improves both website and email detection - Improved website detection — Broader URL/prefix detection (
http://,https://,www., etc.) and host extraction - Multi-threaded architecture — pcfg_guesser is multi-threaded for increased performance
- Compiled binary — No runtime, so fuss; pcfg-go uses statically compiled binaries for speed and easy deployment
Benchmarks
trainer
- 1 million password training set
Python3 trainer: 97.2 secondsGo trainer: ~32 secondsGo trainer ~3× faster (~204% gain)
pcfg_guesser
- benchmark:
Python3 pcfg_guesser ~280 K/sGo pcfg_guesser ~11.4 M/sGo pcfg_guesser ~40× faster (~3970% gain)
Usage
trainer
Train a new ruleset from wordlist:
trainer -r rule_name -t wordlist.txtpcfg_guesser
Generate guesses from a trained ruleset:
pcfg_guesser -r rule_nameSession save/restore:
pcfg_guesser -r rule_name -s my_session # save to my_session.sav on exit pcfg_guesser -r rule_name -s my_session -l # load and resumePress Ctrl+C to save session and exit.
Piping into hashcat
pcfg_guesser -r rule_name -s my_session | hashcat -m 0 hashes.txt...
Flags
trainer
pcfg-go vs pcfg-python3 flags
Go Python3 Description -r --rule Ruleset name -t --training Training wordlist (required) -e --encoding File encoding -C --comments Config comments -S --save_sensitive Save emails, URLs -p --prefixcount Lines prefixed with count -n --ngram OMEN ngram size (2-5) -a --alphabet Alphabet size for Markov -c --coverage PCFG vs OMEN coverage -m --multiword Pre-train multiword file -h --help Help -version --version Version info pcfg_guesser
pcfg-go vs pcfg-python3 flags
Go Python3 Description -r --rule Ruleset name -s --session Session name -l --load Load previous session -n --limit Max guesses -b --skip_brute Skip OMEN/Markov -a --all_lower No case mangling -d --debug Debug output -h --help Help -version --version Version info
Compile from source
Requires Go and Git.
git clone https://github.com/cyclone-github/pcfg-go.git cd pcfg-go go mod tidy mkdir -p bin go build -ldflags="-s -w" -o bin/trainer ./cmd/trainer go build -ldflags="-s -w" -o bin/pcfg_guesser ./cmd/pcfg_guesserInstall to $GOPATH/bin:
go install -ldflags="-s -w" ./cmd/trainer go install -ldflags="-s -w" ./cmd/pcfg_guesser - Probabilistic Context-Free Grammar (PCFG) password generator - Pure Go Edition
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https://github.com/cyclone-github/pcfg-go/releases/tag/v0.5.0
v0.5.0; 2026-03-16initial github release ### Overview Pure Go rewrite of the Python3 `pcfg_cracker`, designed as a near drop-in replacement with significant performance gains and expanded features ### Highlights ~3× faster trainer ~40× faster pcfg_guesser `$HEX[]` input/output support Full multi-byte / Unicode support (not supported in Compiled C Edition) Improved and expanded keyboard detection: Fixed/tuned: QWERTY, JCUKEN Added: AZERTY, QWERTZ, Dvorak Expanded detection for TLDs, URLs, and emails in trainer Auto-save and resume support in pcfg_guesser Multi-threaded for high-throughput performance
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