Remove ollamaWordlist config key and all references. Wordlist mode now
requires the cracked hashes .out file to exist and extracts passwords
by splitting on the first colon. Detect Ollama refusal responses and
abort gracefully. Update tests accordingly.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Remove 500-line wordlist cap and send the entire file to Ollama.
Add ollamaNumCtx config key (default 32768) to control the context
window size. Invert wordlist prompt to default-yes, remove unused
ollamaCandidateCount config.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Rename markov_attack → ollama_attack and hcatMarkov → hcatOllama across
menu, attacks, and tests. Remove candidate count prompts and cracked-output
default wordlist logic. Rename config keys (markov* → ollama*) and drop
ollamaUrl. Fix Dockerfile.test to use granular build steps.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
When hcatBin is a relative name (e.g. "hashcat"), construct the full
path by joining hcatPath and hcatBin so the correct hashcat binary is
used instead of relying on PATH resolution.