Add CJK obfuscation transform family (cjk_lookalike/traditional/variant/punct/zwsp)#19
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Add CJK obfuscation transform family (cjk_lookalike/traditional/variant/punct/zwsp)#19demaxiya567 wants to merge 1 commit into
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…nt/punct/zwsp) Safety classifiers for CJK-capable models lean on keyword regexes and word segmentation tuned for simplified-Chinese text; the existing transform catalog only covers Latin-alphabet channels. This adds a dedicated cjk_* family that keeps rendered text readable while moving the token sequence outside the classifier distribution: - cjk_lookalike: Kangxi-radical near-duplicates (人->U+2F08, 日->U+2F47) plus the classic 已->己/未->末/天->夭 pairs. Glyph-identical, distinct code points, distinct tokens. - cjk_traditional: simplified->traditional script. Classifier corpora are overwhelmingly simplified Chinese, so traditional-script keywords sit outside the learned refusal distribution -- the CJK analogue of low-resource-language jailbreaks (Yong et al., 2023). - cjk_variant: Japanese shinjitai/orthographic variants (对->対, 单->単). - cjk_punct: fullwidth punctuation mutation (，->U+201A etc.) breaking punctuation-anchored regexes. - cjk_zwsp: zero-width space between adjacent CJK ideographs only, breaking Chinese word segmentation while leaving ASCII words/URLs/code intact. All five are lossless (one-to-one maps with unique targets; ZWSP strip). Registered in the transform catalog, tagged in the taxonomy (homoglyph / zero_width families, OWASP LLM01 / ATLAS AML.T0051+T0054), and documented in the agent encoding doctrine with the recommended cjk_traditional->cjk_zwsp chain. tests/test_cjk_obf.py covers round-trips, table integrity (one-to-one/unique targets), ZWSP placement invariants, ASCII passthrough, and chain round-trips.
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What
Adds a dedicated
cjk_*transform family covering the CJK attack surface, which the current catalog (Latin homoglyph / zero-width / VS / tag / emoji / RTL channels) does not touch. Safety classifiers for CJK-capable models lean on keyword regexes and word segmentation tuned for simplified-Chinese text; these transforms keep the rendered text human- and model-readable while moving the token sequence outside that distribution.cjk_lookalikecjk_traditionalcjk_variantcjk_punctcjk_zwspRationale: classifier training corpora are overwhelmingly simplified Chinese, so traditional-script and variant-script keywords sit outside the learned refusal distribution — the CJK analogue of low-resource-language jailbreaks (Yong et al., 2023).
cjk_zwspcomplements the existingzero_widthtransform by inserting breaks only between CJK ideographs, so mixed Chinese/English payloads keep URLs and code tokens contiguous.Changes
wallbreaker/transforms/cjk_obf.py— new module, five lossless encode/decode pairs (one-to-one maps with unique targets; ZWSP strip)wallbreaker/transforms/__init__.py— register the five transformswallbreaker/taxonomy.py— alias into the homoglyph / zero_width families (OWASP LLM01, ATLAS AML.T0051 / AML.T0054)wallbreaker/prompts.py— agent encoding doctrine: when to reach for the CJK family + the recommendedcjk_traditional → cjk_zwspchaintests/test_cjk_obf.py— round-trips, table integrity (one-to-one / unique targets), ZWSP placement invariants, ASCII passthrough, chain round-tripsTesting
tests/test_cjk_obf.py+tests/test_transforms.py: 94 passedorigin/mainbaseline: zero new failures (remaining failures are pre-existing environment issues — missing locally-fetched corpora andpytest-asyncio)