Impact assessment for vulnerabilities in open-source software libraries
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Abstract (arXiv)
Software applications integrate more and more open-source software (OSS) to benefit from code reuse. As a drawback, each vulnerability discovered in bundled OSS potentially affects the application. Upon the disclosure of every new vulnerability, the application vendor has to decide whether it is exploitable in his particular usage context, hence, whether users require an urgent application patch containing a non-vulnerable version of the OSS. Current decision making is mostly based on high-level vulnerability descriptions and expert knowledge, thus, effort intense and error prone. This paper proposes a pragmatic approach to facilitate the impact assessment, describes a proof-of-concept for Java, and examines one example vulnerability as case study. The approach is independent from specific kinds of vulnerabilities or programming languages and can deliver immediate results.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Apr 2015.
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Citing papers per year: 2021: 1; 2022: 0; 2023: 1; 2024: 0; 2025: 0; 2026: 2.
4 papers.
- 2021Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositoriescited by 1
- 2023Code Ownership in Open-Source AI Software Securitycited by 0
- 2026CCCE: A Continuous Code Calibration Engine for Autonomous Enterprise Codebase Maintenance via Knowledge Graph Traversal and Adaptive Decision Gatingcited by 0
- 2026Agentic Repository Mining: A Multi-Task Evaluationcited by 0
- 2026Agentic Repository Mining: A Multi-Task Evaluation6 May 2026
- 2026CCCE: A Continuous Code Calibration Engine for Autonomous Enterprise Codebase Maintenance via Knowledge Graph Traversal and Adaptive Decision Gating10 Apr 2026
- 2023Code Ownership in Open-Source AI Software Security18 Dec 2023
- 2021Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories24 Mar 2021