Cover Image

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sheng, Ze, Chen, Zhicheng, Gu, Shuning, Huang, Heqing, Gu, Guofei, Huang, Jeff
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

All You Need Is A Fuzzing Brain: An LLM-Powered System for Automated Vulnerability Detection and Patching
by: Sheng, Ze, et al.
Published: (2025)

A Security Analysis of the OpenClaw AI Agent Framework
by: Suwansathit, Surada, et al.
Published: (2026)

TraceScope: Interactive URL Triage via Decoupled Checklist Adjudication
by: Zhang, Haolin, et al.
Published: (2026)

SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?
by: Ferrag, Mohamed Amine, et al.
Published: (2023)

SafeGenBench: A Benchmark Framework for Security Vulnerability Detection in LLM-Generated Code
by: Li, Xinghang, et al.
Published: (2025)

LProtector: An LLM-driven Vulnerability Detection System
by: Sheng, Ze, et al.
Published: (2024)

Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities
by: Xiao, ZeKe, et al.
Published: (2025)

Swallowing the Poison Pills: Insights from Vulnerability Disparity Among LLMs
by: Yifeng, Peng, et al.
Published: (2025)

GuardianPWA: Enhancing Security Throughout the Progressive Web App Installation Lifecycle
by: Wang, Mengxiao, et al.
Published: (2025)

On the Effectiveness of Instruction-Tuning Local LLMs for Identifying Software Vulnerabilities
by: Park, Sangryu, et al.
Published: (2025)

A Systematic Review of Security Vulnerabilities in Smart Home Devices and Mitigation Techniques
by: Alzaylaee, Mohammed K.
Published: (2025)

From Thinker to Society: Security in Hierarchical Autonomy Evolution of AI Agents
by: Zhang, Xiaolei, et al.
Published: (2026)

Proactive Detection of Physical Inter-rule Vulnerabilities in IoT Services Using a Deep Learning Approach
by: Huang, Bing, et al.
Published: (2024)

Bridging AI and Software Security: A Comparative Vulnerability Assessment of LLM Agent Deployment Paradigms
by: Gasmi, Tarek, et al.
Published: (2025)

LLMpatronous: Harnessing the Power of LLMs For Vulnerability Detection
by: Yarra, Rajesh
Published: (2025)

CloudLens: Modeling and Detecting Cloud Security Vulnerabilities
by: Kazdagli, Mikhail, et al.
Published: (2024)

SoK: Taxonomy and Evaluation of Prompt Security in Large Language Models
by: Hong, Hanbin, et al.
Published: (2025)

LogicEval: A Systematic Framework for Evaluating Automated Repair Techniques for Logical Vulnerabilities in Real-World Software
by: Rashid, Syed Md Mukit, et al.
Published: (2026)

Agentic AI for Autonomous Defense in Software Supply Chain Security: Beyond Provenance to Vulnerability Mitigation
by: Syed, Toqeer Ali, et al.
Published: (2025)

FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction
by: Sheng, Ze, et al.
Published: (2026)

Towards Compositional Generalization in LLMs for Smart Contract Security: A Case Study on Reentrancy Vulnerabilities
by: Zhou, Ying, et al.
Published: (2026)

Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks
by: Xing, Wenpeng, et al.
Published: (2025)

Semantics Over Syntax: Uncovering Pre-Authentication 5G Baseband Vulnerabilities
by: Huang, Qiqing, et al.
Published: (2026)

SCoPE: Evaluating LLMs for Software Vulnerability Detection
by: Gonçalves, José, et al.
Published: (2024)

When Grammar Guides the Attack: Uncovering Control-Plane Vulnerabilities in LLMs with Structured Output
by: Zhang, Shuoming, et al.
Published: (2025)

MCPGuard : Automatically Detecting Vulnerabilities in MCP Servers
by: Wang, Bin, et al.
Published: (2025)

Cyber-Physical Systems Security: A Comprehensive Review of Anomaly Detection Techniques
by: Abshari, Danial, et al.
Published: (2025)

BugWhisperer: Fine-Tuning LLMs for SoC Hardware Vulnerability Detection
by: Tarek, Shams, et al.
Published: (2025)

Modification and Generated-Text Detection: Achieving Dual Detection Capabilities for the Outputs of LLM by Watermark
by: Cai, Yuhang, et al.
Published: (2025)

Quantifying Security Vulnerabilities: A Metric-Driven Security Analysis of Gaps in Current AI Standards
by: Madhavan, Keerthana, et al.
Published: (2025)

From Vulnerabilities to Remediation: A Systematic Literature Review of LLMs in Code Security
by: Basic, Enna, et al.
Published: (2024)

Demystifying Progressive Web Application Permission Systems
by: Wang, Mengxiao, et al.
Published: (2025)

AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways
by: Deng, Zehang, et al.
Published: (2024)

SkCC: Portable and Secure Skill Compilation for Cross-Framework LLM Agents
by: Ouyang, Yipeng, et al.
Published: (2026)

A Systematic Study of LLM-Based Architectures for Automated Patching
by: Xu, Qingxiao, et al.
Published: (2026)

PromptSleuth: Detecting Prompt Injection via Semantic Intent Invariance
by: Wang, Mengxiao, et al.
Published: (2025)

A Survey on Vulnerability Prioritization: Taxonomy, Metrics, and Research Challenges
by: Jiang, Yuning, et al.
Published: (2025)

A Survey on Data Security in Large Language Models
by: Chen, Kang, et al.
Published: (2025)

SecureRAG-RTL: A Retrieval-Augmented, Multi-Agent, Zero-Shot LLM-Driven Framework for Hardware Vulnerability Detection
by: Hasan, Touseef, et al.
Published: (2026)

Extracting Recurring Vulnerabilities from Black-Box LLM-Generated Software
by: Kordonsky, Tomer, et al.
Published: (2026)