markov

markov

Positional Markov chain password generator (OMEN-style).

Syntax

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  WordlistXPL-Forge  v1.2.0
  Author: André Henrique (@mrhenrike)
  Unified wordlist generation for pentest & red team

usage: wlf.py markov [-h] [--wordlist FILE [FILE ...]] [--model FILE]
                     [--model-output FILE] [--order ORDER]
                     [--smoothing SMOOTHING] [--max-lines MAX_LINES]
                     [--max-cost MAX_COST] [--min-len MIN_LEN]
                     [--max-len MAX_LEN] [--limit LIMIT] [-o OUTPUT]
                     [{train,generate}]

Positional Markov chain password generator (OMEN-style).
Learns character transition probabilities per position and
generates candidates in ascending cost order.

Examples:
  wlf.py markov train --wordlist rockyou.txt --order 4
  wlf.py markov generate --limit 500000
  wlf.py markov generate --min-len 8 --max-len 12 --max-cost 30

positional arguments:
  {train,generate}      Action: train or generate (default: generate)

options:
  -h, --help            show this help message and exit
  --wordlist FILE [FILE ...]
                        Training file(s)
  --model FILE          Model file (default: .model/markov_model.json)
  --model-output FILE   Output path for trained model
  --order ORDER         N-gram order (default: 3)
  --smoothing SMOOTHING
                        Laplace smoothing alpha for unseen n-grams (default:
                        0.01)
  --max-lines MAX_LINES
                        Max training lines (0 = unlimited)
  --max-cost MAX_COST   Max total cost threshold (0 = no limit)
  --min-len MIN_LEN     Min password length (default: 4)
  --max-len MAX_LEN     Max password length (default: 16)
  --limit LIMIT         Max candidates (0 = unlimited)
  -o, --output OUTPUT   Output file

Flags

Flag / arg	Default	Required	Description
markov_action	'generate'	no	Action: train or generate (default: generate)
--wordlist	-	no	Training file(s)
--model	'.model/markov_model.json'	no	Model file (default: .model/markov_model.json)
--model-output	-	no	Output path for trained model
--order	3	no	N-gram order (default: 3)
--smoothing	0.01	no	Laplace smoothing alpha for unseen n-grams (default: 0.01)
--max-lines	0	no	Max training lines (0 = unlimited)
--max-cost	0	no	Max total cost threshold (0 = no limit)
--min-len	4	no	Min password length (default: 4)
--max-len	16	no	Max password length (default: 16)
--limit	0	no	Max candidates (0 = unlimited)
-o, --output	-	no	Output file

Input combinations

• Minimum: wlf markov --help
• Typical: see examples in the syntax block.
• Globals: --min-len, --max-len, --limit, --threads when the command generates lists.

Output

Stdout and/or -o / --output when the parser exposes it. Exit 0 on success; non-zero on invalid input.

Smoke

• Valid: exit 0
• Invalid: exit 0

Notes

Examples use generic labels (BrandX, acme.example). This repo does not ship wlist_brasil.