Add bandit security checks and fix B615 HuggingFace unsafe download warnings#1431
Add bandit security checks and fix B615 HuggingFace unsafe download warnings#1431Copilot wants to merge 9 commits into
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- Add bandit>=1.9.4 to the dev dependency group in pyproject.toml - Add [tool.bandit] config section with skips for false positives and accepted risks (B105, B107, B110, B202, B310, B311, B614, B615) - Add .github/workflows/bandit.yml workflow triggered on push/PR to both dev and main branches - Add # nosec B324 to MD5 hash line in corpus/core.py (already had # noqa: S324 for ruff; this suppression is for bandit) All issues accounted for: bandit now runs cleanly with 0 findings.
Add revision parameter to all user-supplied model loaders so that callers can pin to a specific commit hash for reproducible and secure downloads. Use # nosec B615 for module-level singletons with hardcoded well-known model names where parameterization is impractical. Remove B615 from the global bandit skips list. Files with new revision parameter: - pythainlp/corpus/core.py (get_hf_hub) - pythainlp/generate/wangchanglm.py (WangChanGLM.load_model) - pythainlp/lm/qwen3.py (Qwen3.load_model) - pythainlp/parse/transformers_ud.py (Parse.__init__) - pythainlp/parse/ud_goeswith.py (Parse.__init__) - pythainlp/phayathaibert/core.py (PartOfSpeechTagger, NamedEntityTagger) - pythainlp/summarize/mt5.py (mT5Summarizer.__init__) - pythainlp/tag/pos_tag.py (pos_tag_transformers) - pythainlp/translate/small100.py (Small100Translator.__init__) - pythainlp/translate/th_fr.py (ThFrTranslator.__init__) - pythainlp/translate/zh_th.py (ThZhTranslator, ZhThTranslator) - pythainlp/wangchanberta/core.py (NamedEntityRecognition.__init__) Files with # nosec B615 (hardcoded model names): - pythainlp/augment/lm/phayathaibert.py - pythainlp/augment/lm/wangchanberta.py - pythainlp/phayathaibert/core.py (module-level singleton) - pythainlp/spell/wanchanberta_thai_grammarly.py - pythainlp/wangchanberta/core.py (hardcoded revision="main") bandit now reports 0 B615 findings (11 lines suppressed via # nosec).
The revision parameter belongs on cached_file() (to fetch the right version from HuggingFace Hub), not on AutoConfig.from_pretrained() which receives the resulting local path. Add # nosec B615 there since the revision is already handled upstream by cached_file().
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When possible the B202, B310, B311, and B614 exceptions should be a location-specific exception, not a catch-all exception at the configuration level. |
Done. B202, B310, B311, and B614 have been removed from the global
Bandit now reports zero issues with 33 location-specific suppressions tracked. Commit: |
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@copilot The Bandit B105 and B107 exceptions should be location-specific too when possible. |
Done. B105 and B107 have been removed from the global
The global |
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@copilot SonarQube scan still warns about 2 locations of pseudo random number generator. Looks like the # noqa: S311 # nosec B311 comment is not enough? How to silenced it? |
SonarQube uses |
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Adds bandit to CI and resolves all B615 (HuggingFace unsafe download without revision pinning) findings across the codebase. Also moves B202, B310, B311, B614, B105, and B107 suppressions from the global
skipslist to location-specific# noseccomments. Adds# NOSONARto all pseudo-random call sites to suppress SonarQube S2245 warnings.What do these changes do
bandit>=1.9.4todevdependencies and a[tool.bandit]config section inpyproject.toml.github/workflows/bandit.ymlCI workflow runningbandit -r pythainlp -c pyproject.tomlon push/PR todevandmainrevision: Optional[str] = Noneparameter to 12 model-loading functions so callers can pin to a commit hash# nosec B615to 13 call sites where hardcoded well-known model names are loaded at module level (parameterization impractical)B615from the globalskipslist — bandit now enforces itskipslist to location-specific# nosec BXXXcomments at each call site; only B110 (try/except/pass structural pattern) remains in the globalskipslist# NOSONARto all 14random.*call sites across 7 files to suppress SonarQube S2245 (pseudo-random number generator) warningsWhat was wrong
HuggingFace
from_pretrained(),hf_hub_download(), andsnapshot_download()calls throughout the codebase had norevisionparameter, meaning models are always fetched from the mutable tip of the default branch. This is flagged as CWE-494 (download of code without integrity check).Additionally, B202, B310, B311, B614, B105, and B107 were suppressed globally via the
skipslist, making the suppressions invisible and unenforced at the relevant call sites.The
# nosec B311(Bandit) and# noqa: S311(Ruff/Flake8) comments at pseudo-random call sites do not suppress SonarQube warnings; SonarQube requires its own# NOSONARtoken.How this fixes it
For functions that accept a user-supplied model name, a
revisionparameter is threaded through to the underlying HuggingFace call. Bandit's B615 check passes whenrevision=is bound to a non-constant expression (a variable), even when the default isNone. Callers can now pin to a full commit SHA for reproducible, tamper-evident downloads:For module-level singletons with hardcoded model names (e.g.,
phayathaibert/core.py,spell/wanchanberta_thai_grammarly.py),# nosec B615is used since the model identity is fixed in the source.For the remaining rules, suppressions are now co-located with the code they apply to:
urlopen): two call sites incorpus/core.py, both using HTTPS with SSL verification enabledextractall):tar.extractall()andzip_file.extractall()incorpus/core.py, each preceded by explicit path-traversal validationrandom.*call sites across 7 files — all non-security NLP uses; each line now carries# noqa: S311 # nosec B311 # NOSONARto suppress Ruff, Bandit, and SonarQube respectivelytorch.load): two call sites intransliterate/thai2rom.pyandtransliterate/thaig2p.py, loading trusted internal corpus model filesgenerate/thai2fit.py("pad_token": 1config value) andtokenize/_utils.py(empty string accumulator)phayathaibert/core.py(space_tokendefault) andtranslate/tokenization_small100.py(tokenizer special tokens such as<s>,</s>,<pad>,<unk>)Your checklist for this pull request