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How Humans, Bots, and Agents Communicate About Vulnerabilities in Pull Requests

arXiv Security Archived Jun 29, 2026 ✓ Full text saved

arXiv:2606.28125v1 Announce Type: cross Abstract: Developers may reference vulnerabilities in pull request discussions through both explicit identifiers, such as CVEs or GHSAs, and implicit security-related language (e.g., "unauthorized access" or "SQL injection"). Prior work has primarily focused on explicit identifiers, potentially overlooking vulnerability discussions that lack formal references. Bots and coding agents are becoming more common in pull requests, raising new questions about how

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    Computer Science > Software Engineering [Submitted on 26 Jun 2026] How Humans, Bots, and Agents Communicate About Vulnerabilities in Pull Requests Pien Rooijendijk, Christoph Treude, Mairieli Wessel Developers may reference vulnerabilities in pull request discussions through both explicit identifiers, such as CVEs or GHSAs, and implicit security-related language (e.g., "unauthorized access" or "SQL injection"). Prior work has primarily focused on explicit identifiers, potentially overlooking vulnerability discussions that lack formal references. Bots and coding agents are becoming more common in pull requests, raising new questions about how different accounts communicate about vulnerabilities. In this registered report, we describe our planned study of vulnerability communication in pull requests by humans, bots, and coding agents. Building on the AIDev-pop dataset, we analyze explicit vulnerability references and implicit security-related signals across pull request titles, descriptions, review comments, commit messages, and timeline discussions. We further investigate whether these references are associated with vulnerabilities introduced or fixed in the modified code and how they relate to pull request review activity and outcomes. This study contributes a large-scale empirical investigation of vulnerability communication practices in modern software development. Subjects: Software Engineering (cs.SE); Cryptography and Security (cs.CR) Cite as: arXiv:2606.28125 [cs.SE]   (or arXiv:2606.28125v1 [cs.SE] for this version)   https://doi.org/10.48550/arXiv.2606.28125 Focus to learn more Submission history From: Pien Rooijendijk [view email] [v1] Fri, 26 Jun 2026 14:26:13 UTC (1,559 KB) Access Paper: HTML (experimental) view license Current browse context: cs.SE < prev   |   next > new | recent | 2026-06 Change to browse by: cs cs.CR References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
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    arXiv Security
    Category
    ◬ AI & Machine Learning
    Published
    Jun 29, 2026
    Archived
    Jun 29, 2026
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