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Merge pull request #133 from trustedsec/docs/changelog-2130
docs: split changelog to match the v2.12.0 and v2.13.0 tags
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@@ -7,21 +7,10 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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Dates are omitted for releases predating this file; see the git tags for exact timing.
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## [2.12.0] - 2026-07-24
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### Changed
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- **LLM attack now uses the Atomic Agents framework** for structured (JSON) candidate
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generation instead of raw HTTP + regex line-parsing. Candidate generation lives in the
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new `hate_crack/llm.py` module.
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- **Default Ollama model is now `qwen2.5:32b`** (was `mistral`), chosen for reliable
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structured-output adherence.
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## [2.13.0] - 2026-07-24
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### Added
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- **Wordlist (denylist) generation mode** for the LLM attack is now reachable from the
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menu: select the LLM attack (option 12), then choose "Wordlist" to derive basewords from
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a sample wordlist.
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- **Cracked-password generation mode** for the LLM attack. Once a session has recovered
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plaintexts, option 3 feeds them back to the model, which infers the organization's own
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password conventions and generates new candidates in that style. Offered only when
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@@ -31,9 +20,9 @@ Dates are omitted for releases predating this file; see the git tags for exact t
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the company name asks the local model to recall that organization's industry and location,
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then offers them as editable defaults (Enter accepts, typing overrides). Values are
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labelled as model guesses rather than verified OSINT, whitespace-collapsed, and capped at
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80 characters. Research runs entirely against the configured local Ollama server, so the
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client name is never sent to a third party. Any failure or timeout falls back to blank
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prompts and never blocks the attack. Disable with `ollamaAutoResearch: false`.
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80 characters. Research runs entirely against the local Ollama server, so the client name
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is never sent to a third party. Any failure or timeout falls back to blank prompts and
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never blocks the attack. Disable with `ollamaAutoResearch: false`.
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- **Live progress spinner** with an elapsed-seconds counter during Ollama generation, so a
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model loading into VRAM is distinguishable from a hang. Automatically suppressed when
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stdout is not a TTY.
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@@ -53,6 +42,37 @@ Dates are omitted for releases predating this file; see the git tags for exact t
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- **A typo in a wordlist or generation-mode prompt no longer aborts the whole attack.** The
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pickers and submenus re-prompt instead of dropping back to the main menu, and offer an
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explicit cancel.
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### Changed
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- **Interactive prompt formatting normalized** — the `[*] ` marker is no longer used on
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input prompts (it denotes status output elsewhere), and default-value hints use a single
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form.
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### Build
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- **Local `uv` Python pinned to 3.13** via `.python-version`. `requires-python = ">=3.13"`
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meant a fresh worktree picked CPython 3.15.0a7 and failed to build pyo3 0.26 (via
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`jiter`/`fastuuid`/`pydantic-core`). CI already pinned 3.13.
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## [2.12.0] - 2026-07-24
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### Changed
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- **LLM attack now uses the Atomic Agents framework** for structured (JSON) candidate
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generation instead of raw HTTP + regex line-parsing. Candidate generation lives in the
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new `hate_crack/llm.py` module.
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- **Default Ollama model is now `qwen2.5:32b`** (was `mistral`), chosen for reliable
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structured-output adherence.
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### Added
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- **Wordlist (denylist) generation mode** for the LLM attack is now reachable from the
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menu: select the LLM attack (option 12), then choose "Wordlist" to derive basewords from
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a sample wordlist.
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### Fixed
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- **The LLM attack no longer hangs forever waiting on Ollama.** Generation requests are now
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bounded by a configurable timeout (`ollamaTimeout` in `config.json`, default 300 seconds).
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Previously, if Ollama accepted the connection but never replied — most commonly a large
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