Vibe 编程安全吗？真实世界任务中智能体生成代码的漏洞基准测试

Computer Science > Software Engineering arXiv:2512.03262 (cs) [Submitted on 2 Dec 2025 (v1), last revised 21 Sep 2026 (this version, v4)] Title:Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks Authors:Songwen Zhao, Danqing Wang, Kexun Zhang, Jiaxuan Luo, Zhuo Li, Lei Li View a PDF of the paper titled Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks, by Songwen Zhao and 5 other authors View PDF HTML (experimental) Abstract:Vibe coding is a new software development paradigm in which human engineers prompt a large language model (LLM) agent to complete complex coding tasks with little supervision. Although vibe coding is increasingly adopted, is the generated code really safe to deploy in production? To investigate this question, we propose SUSVIBES, a benchmark consisting of 186 feature-request software engineering tasks from real-world open-source projects, for which, human programmers committed vulnerable implementations. We evaluate 12 widely used coding agentic settings with frontier models on the benchmark. Disturbingly, all agents perform poorly in terms of software security. Although 57% of the solutions from SWE-Agent with Claude 4 Sonnet are functionally correct, only 11.8% are secure. Further experiments demonstrate that preliminary security strategies, such as augmenting the feature request with vulnerability hints, cannot mitigate these security issues. Our findings raise serious concerns about the widespread adoption of vibe coding, particularly in security-sensitive applications. The code and dataset are available at this https URL. The leaderboard is at this https URL. Comments: Subjects: Software Engineering (cs.SE); Computation and Language (cs.CL) Cite as: arXiv:2512.03262 [cs.SE] (or arXiv:2512.03262v4 [cs.SE] for this version) https://doi.org/10.48550/arXiv.2512.03262 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Danqing Wang [view email] [v1] Tue, 2 Dec 2025 22:11:56 UTC (1,559 KB) [v2] Mon, 16 Feb 2026 22:50:33 UTC (1,783 KB) [v3] Fri, 21 Aug 2026 05:35:16 UTC (1,132 KB) [v4] Mon, 21 Sep 2026 16:10:00 UTC (1,132 KB) Full-text links: Access Paper: View a PDF of the paper titled Is Vibe Coding Safe? Benchmarking Vulnerability of Agent-Generated Code in Real-World Tasks, by Songwen Zhao and 5 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.SE new | recent | 2025-12 Change to browse by: cs cs.CL References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: 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 Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv (What is alphaXiv?) Links to Code Toggle CatalyzeX Code Finder for Papers (What is CatalyzeX?) DagsHub Toggle DagsHub (What is DagsHub?) GotitPub Toggle Gotit.pub (What is GotitPub?) Huggingface Toggle Hugging Face (What is Huggingface?) ScienceCast Toggle ScienceCast (What is ScienceCast?) Demos Demos Replicate Toggle Replicate (What is Replicate?) Spaces Toggle Hugging Face Spaces (What is Spaces?) Spaces Toggle TXYZ.AI (What is TXYZ.AI?) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower (What are Influence Flowers?) Core recommender toggle CORE Recommender (What is CORE?) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs. Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)