Test mimicry to assess the exploitability of library vulnerabilities

• Main Authors: KANG, Hong Jin, NGUYEN, Truong Giang, LE, Bach, PASAREANU, Corina S., LO, David
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Library vulnerabilities; Search-based test generation; Artificial Intelligence and Robotics; Databases and Information Systems; Information Security; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7626; https://ink.library.smu.edu.sg/context/sis_research/article/8629/viewcontent/Test_mimicry_to_assess_the_exploitability_of_library_vulnerabilities.pdf
• Institution: Singapore Management University

Modern software engineering projects often depend on open-source software libraries, rendering them vulnerable to potential security issues in these libraries. Developers of client projects have to stay alert of security threats in the software dependencies. While there are existing tools that allow...