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docs(llm): document Atomic Agents refactor, new default model, wordlist mode (2.12.0)

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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Justin Bollinger
2026-07-24 12:11:26 -04:00
co-authored by Claude Opus 4.8
parent bcea02b2e7
commit 519d395708
2 changed files with 27 additions and 4 deletions
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README.md
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@@ -459,18 +459,20 @@ Set Hashview credentials in `config.json`:
#### Ollama Configuration
The LLM Attack (option 15) uses Ollama to generate password candidates. Configure the model and context window in `config.json`:
The LLM Attack (option 12) uses Ollama to generate password candidates. Configure the model and context window in `config.json`:
```json
{
"ollamaModel": "mistral",
"ollamaModel": "qwen2.5:32b",
"ollamaNumCtx": 2048
}
```
- **`ollamaModel`** — The Ollama model to use for candidate generation (default: `mistral`).
- **`ollamaModel`** — The Ollama model used for candidate generation (default: `qwen2.5:32b`). The LLM attack uses structured (JSON) output, so choose a model with good tool/JSON support.
- **`ollamaNumCtx`** — Context window size for the model (default: `2048`).
- The Ollama URL defaults to `http://localhost:11434`. Ensure Ollama is running before using the LLM Attack.
- The Ollama URL defaults to `http://localhost:11434` (override via the `OLLAMA_HOST` env var). Ensure Ollama is running and the model is pulled (`ollama pull qwen2.5:32b`) before using the LLM Attack — hate_crack no longer auto-pulls missing models.
The attack offers two generation modes: **Target info** (company / industry / location) and **Wordlist** (derive denylist basewords from a sample wordlist).
### Notifications (menu option 82)