Imagen de Portada

Learning to Locate: GNN-Powered Vulnerability Path Discovery in Open Source Code

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Atashin, Nima, Ladani, Behrouz Tork, Sharbaf, Mohammadreza
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Detecting Code Vulnerabilities with Heterogeneous GNN Training
por: Luo, Yu, et al.
Publicado: (2025)

Harnessing the Power of LLMs in Source Code Vulnerability Detection
por: Mahyari, Andrew A
Publicado: (2024)

Detecting Protracted Vulnerabilities in Open Source Projects
por: Sridharkumar, Arjun, et al.
Publicado: (2026)

Automated Vulnerability Detection in Source Code Using Deep Representation Learning
por: Seas, C., et al.
Publicado: (2026)

Path-wise Vulnerability Mitigation
por: Huang, Zhen, et al.
Publicado: (2024)

When Machine Learning Meets Vulnerability Discovery: Challenges and Lessons Learned
por: Arasteh, Sima, et al.
Publicado: (2025)

Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery
por: Ahmad, Iftakhar, et al.
Publicado: (2024)

Predicting Vulnerability to Malware Using Machine Learning Models: A Study on Microsoft Windows Machines
por: Esnaashari, Marzieh, et al.
Publicado: (2025)

Trust, but Verify: Evaluating Developer Behavior in Mitigating Security Vulnerabilities in Open-Source Software Projects
por: de Sousa, Janislley Oliveira, et al.
Publicado: (2024)

Tracing Vulnerability Propagation Across Open Source Software Ecosystems
por: Ruohonen, Jukka, et al.
Publicado: (2025)

An Unbiased Transformer Source Code Learning with Semantic Vulnerability Graph
por: Islam, Nafis Tanveer, et al.
Publicado: (2023)

Agentic Discovery and Validation of Android App Vulnerabilities
por: Wang, Ziyue, et al.
Publicado: (2025)

Synthesizing Multi-Agent Harnesses for Vulnerability Discovery
por: Liu, Hanzhi, et al.
Publicado: (2026)

Contextualizing Sink Knowledge for Java Vulnerability Discovery
por: Fleischer, Fabian, et al.
Publicado: (2026)

Boosting Cybersecurity Vulnerability Scanning based on LLM-supported Static Application Security Testing
por: Keltek, Mete, et al.
Publicado: (2024)

WhisperFuzz: White-Box Fuzzing for Detecting and Locating Timing Vulnerabilities in Processors
por: Borkar, Pallavi, et al.
Publicado: (2024)

A Comprehensive Study on the Impact of Vulnerable Dependencies on Open-Source Software
por: Kumar, Shree Hari Bittugondanahalli Indra, et al.
Publicado: (2025)

Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation
por: Liu, Shangqing, et al.
Publicado: (2024)

Improving Discovery of Known Software Vulnerability For Enhanced Cybersecurity
por: Sawant, Devesh, et al.
Publicado: (2024)

Open Source, Open Threats? Investigating Security Challenges in Open-Source Software
por: Akhavani, Seyed Ali, et al.
Publicado: (2025)

Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open Source Intelligence
por: Pelofske, Elijah, et al.
Publicado: (2023)

VulGD: A LLM-Powered Dynamic Open-Access Vulnerability Graph Database
por: Do, Luat, et al.
Publicado: (2026)

Obfuscating Code Vulnerabilities against Static Analysis in JavaScript Code
por: Pagano, Francesco, et al.
Publicado: (2026)

ARVO: Atlas of Reproducible Vulnerabilities for Open Source Software
por: Mei, Xiang, et al.
Publicado: (2024)

Predicting Likely-Vulnerable Code Changes: Machine Learning-based Vulnerability Protections for Android Open Source Project
por: Yim, Keun Soo
Publicado: (2024)

Privacy Analysis of Samsung's Crowd-Sourced Bluetooth Location Tracking System
por: Yu, Tingfeng, et al.
Publicado: (2022)

LLM-based Vulnerability Discovery through the Lens of Code Metrics
por: Weissberg, Felix, et al.
Publicado: (2025)

Insights and Current Gaps in Open-Source LLM Vulnerability Scanners: A Comparative Analysis
por: Brokman, Jonathan, et al.
Publicado: (2024)

Insecurity Through Obscurity: Veiled Vulnerabilities in Closed-Source Contracts
por: Yang, Sen, et al.
Publicado: (2025)

GNN-Based Code Annotation Logic for Establishing Security Boundaries in C Code
por: Gadey, Varun, et al.
Publicado: (2024)

TaintSentinel: Path-Level Randomness Vulnerability Detection for Ethereum Smart Contracts
por: Rezaei, Hadis, et al.
Publicado: (2025)

QLPro: Automated Code Vulnerability Discovery via LLM and Static Code Analysis Integration
por: Hu, Junze, et al.
Publicado: (2025)

NOIR: Privacy-Preserving Generation of Code with Open-Source LLMs
por: Nguyen, Khoa, et al.
Publicado: (2026)

QRS: A Rule-Synthesizing Neuro-Symbolic Triad for Autonomous Vulnerability Discovery
por: Tsigkourakos, George, et al.
Publicado: (2026)

Static Security Vulnerability Scanning of Proprietary and Open-Source Software: An Adaptable Process with Variants and Results
por: Cusick, James J.
Publicado: (2025)

Investigating Vulnerability Disclosures in Open-Source Software Using Bug Bounty Reports and Security Advisories
por: Ayala, Jessy, et al.
Publicado: (2025)

Vulnerability Detection in C/C++ Code with Deep Learning
por: Huang, Zhen, et al.
Publicado: (2024)

Securing the Open RAN Infrastructure: Exploring Vulnerabilities in Kubernetes Deployments
por: Klement, Felix, et al.
Publicado: (2024)

Structure-Aware Code Vulnerability Analysis With Graph Neural Networks
por: Mussabayev, Ravil
Publicado: (2023)

Exploiting Cross-Layer Vulnerabilities: Off-Path Attacks on the TCP/IP Protocol Suite
por: Feng, Xuewei, et al.
Publicado: (2024)