Imagen de Portada

A Comparison of Vulnerability Feature Extraction Methods from Textual Attack Patterns

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Othman, Refat, Rossi, Bruno, Barbara, Russo
Formato:	Preprint
Publicado:	2024
Materias:	Cryptography and Security Software Engineering
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Cybersecurity Defenses: Exploration of CVE Types through Attack Descriptions
por: Othman, Refat, et al.
Publicado: (2024)

Predicting known Vulnerabilities from Attack News: A Transformer-Based Approach
por: Othman, Refat, et al.
Publicado: (2026)

Do Chase Your Tail! Missing Key Aspects Augmentation in Textual Vulnerability Descriptions of Long-tail Software through Feature Inference
por: Han, Linyi, et al.
Publicado: (2024)

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

Multi-Agent Taint Specification Extraction for Vulnerability Detection
por: Ghebremichael, Jonah, et al.
Publicado: (2026)

Vulnerability-Hunter: An Adaptive Feature Perception Attention Network for Smart Contract Vulnerabilities
por: Chen, Yizhou
Publicado: (2024)

Lightweight Vulnerability Detection from Code Metrics and Token Features
por: Chiu, Chun Yin
Publicado: (2026)

Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts
por: Yang, Shuo, et al.
Publicado: (2024)

VulKey: Automated Vulnerability Repair Guided by Domain-Specific Repair Patterns
por: Li, Jia, et al.
Publicado: (2026)

From Attack Descriptions to Vulnerabilities: A Sentence Transformer-Based Approach
por: Othman, Refat, et al.
Publicado: (2025)

On the Effectiveness of Function-Level Vulnerability Detectors for Inter-Procedural Vulnerabilities
por: Li, Zhen, et al.
Publicado: (2024)

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

Game Rewards Vulnerabilities: Software Vulnerability Detection with Zero-Sum Game and Prototype Learning
por: Wen, Xin-Cheng, et al.
Publicado: (2024)

Does the Vulnerability Threaten Our Projects? Automated Vulnerable API Detection for Third-Party Libraries
por: Zhang, Fangyuan, et al.
Publicado: (2024)

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

FuzzySQL: Uncovering Hidden Vulnerabilities in DBMS Special Features with LLM-Driven Fuzzing
por: Chen, Yongxin, et al.
Publicado: (2026)

An Empirical Study on the Security Vulnerabilities of GPTs
por: Wu, Tong, et al.
Publicado: (2025)

Microservice Vulnerability Analysis: A Literature Review with Empirical Insights
por: Jayalath, Raveen Kanishka, et al.
Publicado: (2024)

Deep Learning Aided Software Vulnerability Detection: A Survey
por: Uddin, Md Nizam, et al.
Publicado: (2025)

SHERLOCK: A Deep Learning Approach To Detect Software Vulnerabilities
por: Jawwadh, Saadh, et al.
Publicado: (2025)

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

An Empirical Study of Vulnerability Handling Times in CPython
por: Ruohonen, Jukka
Publicado: (2024)

Revisiting Vulnerability Patch Identification on Data in the Wild
por: Irsan, Ivana Clairine, et al.
Publicado: (2026)

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

Root-Cause-Driven Automated Vulnerability Repair
por: Wang, Hulin, et al.
Publicado: (2026)

Towards Demystifying and Repairing LLM-in-the-Loop Vulnerabilities
por: Ma, Yujie, et al.
Publicado: (2026)

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

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

Cross-Ecosystem Vulnerability Analysis for Python Applications
por: Alexopoulos, Georgios, et al.
Publicado: (2026)

A Comprehensive Study of Exploitable Patterns in Smart Contracts: From Vulnerability to Defense
por: Ding, Yuchen, et al.
Publicado: (2025)

ReposVul: A Repository-Level High-Quality Vulnerability Dataset
por: Wang, Xinchen, et al.
Publicado: (2024)

AI-Based Software Vulnerability Detection: A Systematic Literature Review
por: Shimmi, Samiha, et al.
Publicado: (2025)

Real-World Usability of Vulnerability Proof-of-Concepts: A Comprehensive Study
por: Dang, Wenjing, et al.
Publicado: (2025)

A Slicing-Based Approach for Detecting and Patching Vulnerable Code Clones
por: Alomari, Hakam, et al.
Publicado: (2025)

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

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

Impact of Code Transformation on Detection of Smart Contract Vulnerabilities
por: Manh, Cuong Tran, et al.
Publicado: (2024)

Profile of Vulnerability Remediations in Dependencies Using Graph Analysis
por: Vera, Fernando, et al.
Publicado: (2024)

Vulnerability Detection in Popular Programming Languages with Language Models
por: Atiiq, Syafiq Al, et al.
Publicado: (2024)

Exposing and Defending Membership Leakage in Vulnerability Prediction Models
por: Liao, Yihan, et al.
Publicado: (2025)