Cover Image

From Generalist to Specialist: Exploring CWE-Specific Vulnerability Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Atiiq, Syafiq Al, Gehrmann, Christian, Dahlén, Kevin, Khalil, Karim
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Dissecting the Black Box: Circuit-Level Analysis of LLM Vulnerability Detection
by: Atiiq, Syafiq Al, et al.
Published: (2026)

Out of Distribution, Out of Luck: How Well Can LLMs Trained on Vulnerability Datasets Detect Top 25 CWE Weaknesses?
by: Li, Yikun, et al.
Published: (2025)

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

Think Broad, Act Narrow: CWE Identification with Multi-Agent Large Language Models
by: Sayagh, Mohammed, et al.
Published: (2025)

CASTLE: Benchmarking Dataset for Static Code Analyzers and LLMs towards CWE Detection
by: Dubniczky, Richard A., et al.
Published: (2025)

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

VulInstruct: Teaching LLMs Root-Cause Reasoning for Vulnerability Detection via Security Specifications
by: Zhu, Hao, et al.
Published: (2025)

Vulnerability Detection with Interprocedural Context in Multiple Languages: Assessing Effectiveness and Cost of Modern LLMs
by: Lira, Kevin, et al.
Published: (2026)

Expert-in-the-Loop Systems with Cross-Domain and In-Domain Few-Shot Learning for Software Vulnerability Detection
by: Farr, David, et al.
Published: (2025)

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

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

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

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

Many Tools, Few Exploitable Vulnerabilities: A Survey of 246 Static Code Analyzers for Security
by: Hermann, Kevin, et al.
Published: (2026)

SAGA: Detecting Security Vulnerabilities Using Static Aspect Analysis
by: Marquer, Yoann, et al.
Published: (2026)

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

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

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

Improving Smart Contract Security with Contrastive Learning-based Vulnerability Detection
by: Chen, Yizhou, et al.
Published: (2024)

VulEval: Towards Repository-Level Evaluation of Software Vulnerability Detection
by: Wen, Xin-Cheng, et al.
Published: (2024)

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

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

TPSQLi: Test Prioritization for SQL Injection Vulnerability Detection in Web Applications
by: Yang, Guan-Yan, et al.
Published: (2025)

HALURust: Exploiting Hallucinations of Large Language Models to Detect Vulnerabilities in Rust
by: Luo, Yu, et al.
Published: (2025)

Mind the Gap: Evaluating LLMs for High-Level Malicious Package Detection vs. Fine-Grained Indicator Identification
by: Ryan, Ahmed, et al.
Published: (2026)

SCALE: Constructing Structured Natural Language Comment Trees for Software Vulnerability Detection
by: Wen, Xin-Cheng, et al.
Published: (2024)

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

Coca: Improving and Explaining Graph Neural Network-Based Vulnerability Detection Systems
by: Cao, Sicong, et al.
Published: (2024)

CrossInspector: A Static Analysis Approach for Cross-Contract Vulnerability Detection
by: Chen, Xiao
Published: (2024)

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

A Ground-Truth-Based Evaluation of Vulnerability Detection Across Multiple Ecosystems
by: Mandl, Peter, et al.
Published: (2026)

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

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

Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection
by: Chen, Jie, et al.
Published: (2025)

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

LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models
by: Fakih, Mohamad, et al.
Published: (2025)

Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools
by: Wang, Zexu, et al.
Published: (2024)

WACANA: A Concolic Analyzer for Detecting On-chain Data Vulnerabilities in WASM Smart Contracts
by: Wang, Wansen, et al.
Published: (2024)

Smart Cuts: Enhance Active Learning for Vulnerability Detection by Pruning Hard-to-Learn Data
by: Lan, Xiang, et al.
Published: (2025)