Software Vulnerability Detection

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11 papers in the last four weeks, up 120% on the four weeks before. 0.1% of all new papers.

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  1. Benchmarking Mythos-Linked Bug Rediscovery

    May 17, 2026Isaac David, Arthur GervaisSoftware EngineeringSoftware Vulnerability Detection

    University College London

  2. Detecting Privilege Escalation in Polyglot Microservices via Agentic Program Analysis

    May 15, 2026Penghui Li, Hong Yau Chong, Yinzhi Cao +1Software Vulnerability DetectionSoftware Security

    Columbia University · Johns Hopkins University

  3. Code-Centric Detection of Vulnerability-Fixing Commits: A Unified Benchmark and Empirical Study

    May 13, 2026Nils Loose, Joseph Bienhüls, Kristoffer Hempel +2Software Vulnerability DetectionSoftware Engineering Benchmarks

    University of Lübeck Institute for IT Security Lübeck, Germany

  4. Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions

    May 11, 2026Stefan-Claudiu Susan, Andrei Arusoaie, Dorel LucanuLLM EvaluationSoftware Vulnerability Detection

    Department of Computer Science Alexandru Ioan Cuza University of Ias,i Ias,i, Romania

  5. From Controlled to the Wild: Evaluation of Pentesting Agents for the Real-World

    May 11, 2026Pedro Conde, Henrique Branquinho, Valerio Mazzone +3Software Vulnerability DetectionAI Agent Evaluation

    Ethiack Coimbra, Portugal · Ethiack Porto, Portugal · University of Notre Dame Notre Dame, Indiana, USA

  6. MARGIN: Margin-Aware Regularized Geometry for Imbalanced Vulnerability Detection

    May 11, 2026Yuteng Zhang, Huifang Ma, Jiahui Wei +2Class-Imbalanced LearningSoftware Vulnerability Detection

    College of Artificial Intelligence and Computer Science, Northwest Normal University, Lanzhou 730070, China

  7. DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization

    May 10, 2026Wenxin Tang, Junliang Liu, Wenbin Li +10Software Vulnerability Detection

    Tsinghua University · Dalian Maritime University · Hunan University +9

  8. VulTriage: Triple-Path Context Augmentation for LLM-Based Vulnerability Detection

    May 10, 2026Wenxin Tang, Xiang Zhang, Junliang Liu +11Software Vulnerability DetectionStatic Code Analysis

    Tsinghua University · Henan University · Dalian Maritime University +8

  9. CHAINTRIX: A multi-pipeline LLM-augmented framework for automated smart-contract security auditing

    May 10, 2026Gabriela Dobrita, Simona-Vasilica Oprea, Adela BaraLLM AuditingSoftware Vulnerability Detection

    Bucharest University of Economic Studies, Department of Economic Informatics and Cybernetics, no.6 Piața Romană, Bucharest, 010374, Romania

  10. Patch2Vuln: Agentic Reconstruction of Vulnerabilities from Linux Distribution Binary Patches

    May 7, 2026Isaac David, Arthur GervaisSoftware Reverse EngineeringSoftware Vulnerability Detection

    University College London

  11. Beyond Reproducibility: Towards Security-Aware Evaluation of Research Artifacts

    May 7, 2026Nanda Rani, Christian RossowSoftware Vulnerability DetectionSoftware Security

    CISPA – Helmholtz Center for Information Security · Germany

  12. Agentic Vulnerability Reasoning on COTS Binaries

    May 6, 2026Hwiwon Lee, Jongseong Kim, Lingming ZhangSoftware Reverse EngineeringSoftware Vulnerability Detection

    University of Illinois Urbana-Champaign

  13. Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contracts

    May 5, 2026Xing Zhang, Keyu Zhang, Taohong Zhu +1Software Vulnerability DetectionLLMs for Cybersecurity

    NetX Foundation Zug, Switzerland · Department of Computer Science University of Oxford Oxford, UK · Department of Computer Science The University of Manchester Manchester, UK

  14. FunFuzz: An LLM-Powered Evolutionary Fuzzing Framework

    May 4, 2026Mario Rodríguez Béjar, B. Romera-Paredes, Jose L. Hernández-RamosEvolutionary OptimizationSoftware Vulnerability Detection

    Universidad de Murcia Murcia, Spain · Hiverge London, England

  15. VulStyle: A Multi-Modal Pre-Training for Code Stylometry-Augmented Vulnerability Detection

    Apr 29, 2026Chidera Biringa, Ajmal Abbas, Vishnu Selvaraj +1Software Vulnerability Detection

    University of Massachusetts Dartmouth Dartmouth, MA USA

  16. Learning Generalizable Multimodal Representations for Software Vulnerability Detection

    Apr 28, 2026Zeming Dong, Yuejun Guo, Qiang Hu +5Representation LearningSoftware Vulnerability Detection

    University of Luxembourg · 2Luxembourg Institute of Science and Technology · 3Tianjin University

  17. PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection

    Apr 28, 2026Mohamed Taoufik Kaouthar El Idrissi, Edward Zulkoski, Mohammad HamdaqaGraph Neural NetworksSoftware Vulnerability Detection

    Polytechnique Montréal Montréal, Canada · Quantstamp San Francisco, United States

  18. A systematic literature Review for Transformer-based Software Vulnerability detection

    Apr 27, 2026Fiza Naseer, Javed Ali Khan, Muhammad Yaqoob +2TransformerSoftware Vulnerability Detection

  19. Strategic Heterogeneous Multi-Agent Architecture for Cost-Effective Code Vulnerability Detection

    Apr 23, 2026Zhaohui Geoffrey WangGame TheorySoftware Vulnerability Detection

    University of Southern California Los Angeles, CA, USA

  20. Mythos and the Unverified Cage: Z3-Based Pre-Deployment Verification for Frontier-Model Sandbox Infrastructure

    Apr 22, 2026Dominik BlainSoftware Vulnerability DetectionFormal Verification

    COBALT Formal Verification, QreativeLab Inc. Montr´eal, Qu´ebec, Canada

  21. Towards Secure Logging: Characterizing and Benchmarking Logging Code Security Issues with LLMs

    Apr 22, 2026He Yang Yuan, Xin Wang, Kundi Yao +3Automated Program RepairSoftware Vulnerability Detection

    York University, Toronto, Canada · The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China · University of Waterloo, Waterloo, Canada +1

  22. Taint-Style Vulnerability Detection and Confirmation for Node.js Packages Using LLM Agent Reasoning

    Apr 22, 2026Ronghao Ni, Mihai Christodorescu, Limin JiaSoftware Vulnerability DetectionSoftware Security

    Carnegie Mellon University · Google

  23. Evaluating LLM-Generated Obfuscated XSS Payloads for Machine Learning-Based Detection

    Apr 21, 2026Divyesh Gabbireddy, Suman SahaSoftware Vulnerability DetectionAdversarial Examples

    Department of Computer Science and Engineering · The Pennsylvania State University · University Park, PA, USA

  24. Refute-or-Promote: An Adversarial Stage-Gated Multi-Agent Review Methodology for High-Precision LLM-Assisted Defect Discovery

    Apr 21, 2026Abhinav AgarwalSoftware Vulnerability DetectionLLMs for Cybersecurity

  25. Towards Optimal Agentic Architectures for Offensive Security Tasks

    Apr 20, 2026Isaac David, Arthur GervaisMulti-Agent LLM SystemsSoftware Vulnerability Detection

    University College London

  26. RAVEN: Retrieval-Augmented Vulnerability Exploration Network for Memory Corruption Analysis in User Code and Binary Programs

    Apr 20, 2026Parteek Jamwal, Minghao Shao, Boyuan Chen +15Software Vulnerability Detection

    2New York University Abu Dhabi, UAE · 3Technology Innovation Institute, UAE

  27. Towards Predicting Multi-Vulnerability Attack Chains in Software Supply Chains from Software Bill of Materials Graphs

    Apr 4, 2026Laura Baird, Armin MoinSoftware Vulnerability DetectionSoftware Supply Chain Security

    University of Colorado Colorado Springs (UCCS) Colorado Springs, Colorado, USA

  28. Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization

    Mar 27, 2026Ziqiao Kong, Wanxu Xia, Chong Wang +6Financial ServicesSoftware Vulnerability Detection

    Nanyang Technological University · Beihang University · Independent Researcher +4

  29. Walma: Learning to See Memory Corruption in WebAssembly

    Mar 25, 2026Oussama Draissi, Mark Günzel, Ahmad-Reza Sadeghi +1Software Vulnerability DetectionSoftware Security

    paluno, University of Duisburg-Essen, Essen, Germany · Technical University of Darmstadt, Darmstadt, Germany

  30. From Lab to Reality: A Practical Evaluation of Deep Learning Models and LLMs for Vulnerability Detection

    Dec 11, 2025Chaomeng Lu, Bert LagaisseSoftware Vulnerability DetectionLLMs for Cybersecurity

    DistriNet Group-T, KU Leuven · Leuven, Belgium