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feat: add LLM Markov Attack (menu option 15)

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Add a new attack mode that uses a local LLM via Ollama to generate
password candidates, converts them into hashcat .hcstat2 Markov
statistics via hcstat2gen, and runs a Markov-enhanced mask attack.

Two generation sub-modes:
- Wordlist-based: feeds sample from an existing wordlist to the LLM
  as pattern context (config-selectable default with Y/N override)
- Target-based: prompts for company name, industry, and location
  for contextual password generation

Pipeline: Ollama API -> candidate file -> hcstat2gen -> LZMA compress
-> hashcat -a 3 --markov-hcstat2

Config additions: ollamaUrl, ollamaModel, markovCandidateCount,
markovWordlist. No new pip dependencies (uses stdlib urllib/lzma).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Justin Bollinger
2026-02-13 13:13:39 -05:00
co-authored by Claude Opus 4.6
parent 91906e3313
commit e205e6e886
5 changed files with 308 additions and 1 deletions
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tests/test_ui_menu_options.py
+1
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@@ -25,6 +25,7 @@ MENU_OPTION_TEST_CASES = [
("12", CLI_MODULE._attacks, "thorough_combinator", "thorough"),
("13", CLI_MODULE._attacks, "bandrel_method", "bandrel"),
("14", CLI_MODULE._attacks, "loopback_attack", "loopback"),
("15", CLI_MODULE._attacks, "markov_attack", "markov"),
("90", CLI_MODULE, "download_hashmob_rules", "hashmob-rules"),
("91", CLI_MODULE, "weakpass_wordlist_menu", "weakpass-menu"),
("92", CLI_MODULE, "download_hashmob_wordlists", "hashmob-wordlists"),