Hybrid CNN-CodeBERT framework for three-class credential leakage detection reports MCC of 0.86 and macro F1 of 0.90 on a new 9,426-sample dataset across 10 languages, improving placeholder detection and cutting high-severity alerts by 33%.
Assetharvester: A static analysis tool for detecting secret- asset pairs in software artifacts,
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Separating Secrets from Placeholders: A Hybrid CNN-CodeBERT Framework for Three-Class Credential Leakage Detection
Hybrid CNN-CodeBERT framework for three-class credential leakage detection reports MCC of 0.86 and macro F1 of 0.90 on a new 9,426-sample dataset across 10 languages, improving placeholder detection and cutting high-severity alerts by 33%.