AINeutralarXiv – CS AI · Jun 16/10
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Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection
Researchers propose a three-class machine learning framework using CodeBERT and CNN to detect credential leakage in public source code repositories with higher accuracy and fewer false positives. The approach distinguishes genuine credentials from placeholder or weak credentials, achieving 93% recall and reducing false alerts by 33% while maintaining security coverage across 10 programming languages.