Industrial Strength Static Detection for Cryptographic API Misuses
Danfeng (Daphne) Yao
Abstract
We describe our experience of building an industrial-strength cryptographic vulnerability detector, which aims to detect cryptographic API misuses in Java TM 1 1 Java is a registered trademark of Oracle and/or its affiliates.. Based on the detection algorithms of the academic tool CryptoGuard, we integrated the detection into the Oracle internal code scanning platform Parfait. The goal of the Parfait-based cryptographic vulnerability detection is to provide precise and scalable crypto-graphic code screening for large-scale industrial projects. We discuss the needs and challenges of the static cryptographic vulnerability screening in the industrial environment.
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Publication Details
Date of publication: December 13, 2022
Conference: IEEE Cybersecurity Development (SecDev)
Page number(s): 61-62
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Publication Note: Ya Xiao, Yang Zhao, Nicholas Allen, Nathan Keynes, Danfeng Yao, Cristina Cifuentes: Industrial Strength Static Detection for Cryptographic API Misuses. SecDev 2022: 61-62