The test built its own mock context instead of using the shared
ollama_globals helper, missing the rulesDirectory and hcatPotfilePath
patches. This caused FileNotFoundError on CI where /path/to/hashcat/rules
doesn't exist.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Mock rulesDirectory in ollama test fixture so hcatOllama doesn't
fail with FileNotFoundError on CI where /path/to/hashcat/rules
doesn't exist
- Mock potfile path in hashview auto-merge test so found file cleanup
isn't blocked by missing ~/.hashcat directory
- Update pre-push hook to match CI env vars (HATE_CRACK_SKIP_INIT=1)
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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>
- Merge download_left and download_found into single "Download Hashes" menu option
- Append found hash:clear pairs to potfile instead of running broken hashcat re-crack
- Append found hashes to left file so hashcat --show returns full results
- Clean up found_ temp files after merge
- Split found file on first colon (not last) to handle passwords containing colons
- Filter hashcat parse errors from --show stdout in _run_hashcat_show
- Add get_hcat_potfile_path() helper to api.py for potfile resolution
- Remove obsolete download_found_hashes API method and CLI subcommand
- Fix ollama tests to match current 4-arg hcatOllama signature and rule loop
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When the cracked hashes output file (.out) exists, use it as the default
wordlist for the LLM Markov attack instead of the generic markovWordlist
config. This makes the attack learn from already-cracked passwords for
the current engagement, falling back to config when no cracked output
exists.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
