Imagen de Portada

Exploring ChatGPT's Capabilities on Vulnerability Management

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Peiyu, Liu, Junming, Fu, Lirong, Lu, Kangjie, Xia, Yifan, Zhang, Xuhong, Chen, Wenzhi, Weng, Haiqin, Ji, Shouling, Wang, Wenhai
Formato:	Preprint
Publicado:	2023
Materias:	Software Engineering Artificial Intelligence Computation and Language Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection
por: Xia, Yifan, et al.
Publicado: (2023)

LuaTaint: A Static Analysis System for Web Configuration Interface Vulnerability of Internet of Things Devices
por: Xiang, Jiahui, et al.
Publicado: (2024)

Beyond Static Pattern Matching? Rethinking Automatic Cryptographic API Misuse Detection in the Era of LLMs
por: Xia, Yifan, et al.
Publicado: (2024)

EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability Detection
por: Liu, Shigang, et al.
Publicado: (2024)

WildCode: An Empirical Analysis of Code Generated by ChatGPT
por: Khanmohammadi, Kobra, et al.
Publicado: (2025)

How Can ChatGPT Support Human Security Testers to Help Mitigate Supply Chain Attacks?
por: Zhang, Ying, et al.
Publicado: (2023)

Software Vulnerability Prediction in Low-Resource Languages: An Empirical Study of CodeBERT and ChatGPT
por: Le, Triet H. M., et al.
Publicado: (2024)

Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task
por: Li, Yao, et al.
Publicado: (2024)

Cuckoo Attack: Stealthy and Persistent Attacks Against AI-IDE
por: Liu, Xinpeng, et al.
Publicado: (2025)

A Qualitative Study on Using ChatGPT for Software Security: Perception vs. Practicality
por: Kholoosi, M. Mehdi, et al.
Publicado: (2024)

Understanding the AI-powered Binary Code Similarity Detection
por: Fu, Lirong, et al.
Publicado: (2024)

Just another copy and paste? Comparing the security vulnerabilities of ChatGPT generated code and StackOverflow answers
por: Hamer, Sivana, et al.
Publicado: (2024)

An Empirical Study of Vulnerable Package Dependencies in LLM Repositories
por: Liu, Shuhan, et al.
Publicado: (2025)

VulnRepairEval: An Exploit-Based Evaluation Framework for Assessing Large Language Model Vulnerability Repair Capabilities
por: Wang, Weizhe, et al.
Publicado: (2025)

Propagation-Based Vulnerability Impact Assessment for Software Supply Chains
por: Ruan, Bonan, et al.
Publicado: (2025)

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis
por: Sun, Yuqiang, et al.
Publicado: (2023)

KernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities
por: Ruan, Bonan, et al.
Publicado: (2024)

SCRUTINEER: Detecting Logic-Level Usage Violations of Reusable Components in Smart Contracts
por: Lin, Xingshuang, et al.
Publicado: (2025)

From Generalist to Specialist: Exploring CWE-Specific Vulnerability Detection
por: Atiiq, Syafiq Al, et al.
Publicado: (2024)

AFLGopher: Accelerating Directed Fuzzing via Feasibility-Aware Guidance
por: Bai, Weiheng, et al.
Publicado: (2025)

SAVANT: Vulnerability Detection in Application Dependencies through Semantic-Guided Reachability Analysis
por: Lingxiang, Wang, et al.
Publicado: (2025)

Fast and Accurate Silent Vulnerability Fix Retrieval
por: Liu, Xueqing, et al.
Publicado: (2025)

Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them
por: Tan, Zixuan, et al.
Publicado: (2024)

Smart Contract Fuzzing Towards Profitable Vulnerabilities
por: Kong, Ziqiao, et al.
Publicado: (2025)

VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language Models
por: Liu, Yu, et al.
Publicado: (2024)

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap
por: Huang, Feiyang, et al.
Publicado: (2026)

VulZoo: A Comprehensive Vulnerability Intelligence Dataset
por: Ruan, Bonan, et al.
Publicado: (2024)

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool
por: Deng, Gelei, et al.
Publicado: (2023)

LLM Agents for Automated Web Vulnerability Reproduction: Are We There Yet?
por: Liu, Bin, et al.
Publicado: (2025)

Bridging the Gap: A Study of AI-based Vulnerability Management between Industry and Academia
por: Wan, Shengye, et al.
Publicado: (2024)

Characterizing Trust Boundary Vulnerabilities in TEE Containers: An Empirical Study
por: Liu, Weijie, et al.
Publicado: (2025)

Fixing Security Vulnerabilities with AI in OSS-Fuzz
por: Zhang, Yuntong, et al.
Publicado: (2024)

Triggering and Detecting Exploitable Library Vulnerability from the Client by Directed Greybox Fuzzing
por: Zhao, Yukai, et al.
Publicado: (2026)

ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts
por: Wang, Che, et al.
Publicado: (2024)

PROMFUZZ: Leveraging LLM-Driven and Bug-Oriented Composite Analysis for Detecting Functional Bugs in Smart Contracts
por: Lin, Xingshuang, et al.
Publicado: (2025)

Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools
por: He, Ping, et al.
Publicado: (2025)

Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
por: He, Ping, et al.
Publicado: (2025)

A Mixed-Methods Study of Open-Source Software Maintainers On Vulnerability Management and Platform Security Features
por: Ayala, Jessy, et al.
Publicado: (2024)

Evaluating Large Language Models for Line-Level Vulnerability Localization
por: Zhang, Jian, et al.
Publicado: (2024)

A Large-scale Empirical Study on the Generalizability of Disclosed Java Library Vulnerability Exploits
por: Chen, Zirui, et al.
Publicado: (2026)