Unverified50% confidenceOpinionExact time
Large models can take extracted obfuscated JS code snippets as input to quickly infer the encryption method and generate the corresponding Python implementation.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/8/2026
First Seen
Valid until: 1/6/2027
Sources
Related Entities
Related Claims
UnverifiedAfter locating the encryption logic, there is no need to restore the obfuscated code line by line; the code snippet can be handed directly to a large language model to generate the decryption code.75% similarUnverifiedLarge models are capable of deobfuscating obfuscated code and directly outputting usable Python implementation code while also extracting SM2 and SM4 key pairs.73% similarUnverifiedAI coding tools (such as ChatGPT and Claude) primarily serve a code generation and translation role in reverse engineering, enabling the extracted JS encryption logic to be quickly converted into a corresponding Python implementation.73% similarUnverifiedIndustrial-grade obfuscation tools such as obfuscator.io and javascript-obfuscator can transform hundreds of lines of clear code into tens of thousands of lines of nearly unreadable obfuscated code.70% similarUnverified大模型能识别代码模式而非仅代码字面，即便变量名被混淆，只要算法骨架与已知算法匹配便能还原语义69% similar
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