SOTAVerified

Vulnerability Detection

Vulnerability detection plays a crucial role in safeguarding against these threats by identifying weaknesses and potential entry points that malicious actors could exploit. Through advanced scanning techniques and penetration testing, vulnerability detection tools meticulously analyze web applications and websites for vulnerabilities such as SQL injection, cross-site scripting (XSS), and insecure authentication mechanisms.

By proactively identifying and addressing vulnerabilities, organizations can strengthen their online security posture and mitigate the risk of data breaches, financial loss, and reputational damage. Additionally, vulnerability detection empowers businesses to stay compliant with industry regulations and standards, demonstrating their commitment to safeguarding sensitive information and maintaining the trust of their customers. With the evolving threat landscape and increasingly sophisticated attack vectors, investing in robust vulnerability detection measures is paramount for staying one step ahead of cyber threats and ensuring the resilience of web-based platforms and services.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–150 of 216 papers

TitleStatusHype
An Empirical Study of Vulnerability Detection using Federated Learning—0
LProtector: An LLM-driven Vulnerability Detection System—0
Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation—0
Automated Vulnerability Detection Using Deep Learning Technique—0
AI Cyber Risk Benchmark: Automated Exploitation Capabilities—0
RealVul: Can We Detect Vulnerabilities in Web Applications with LLM?—0
Data Quality Issues in Vulnerability Detection Datasets—0
Vulnerability Detection via Topological Analysis of Attention MapsCode0
Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning—0
VulnLLMEval: A Framework for Evaluating Large Language Models in Software Vulnerability Detection and Patching—0
Detection Made Easy: Potentials of Large Language Models for Solidity Vulnerabilities—0
ANVIL: Anomaly-based Vulnerability Identification without Labelled Training Data—0
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection—0
Learning-based Models for Vulnerability Detection: An Extensive Study—0
VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction—0
Harnessing the Power of LLMs in Source Code Vulnerability Detection—0
From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future—0
A Qualitative Study on Using ChatGPT for Software Security: Perception vs. Practicality—0
Automated Software Vulnerability Static Code Analysis Using Generative Pre-Trained Transformer Models—0
Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis—0
Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection—0
Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection—0
FuzzTheREST: An Intelligent Automated Black-box RESTful API Fuzzer—0
SCoPE: Evaluating LLMs for Software Vulnerability Detection—0
eyeballvul: a future-proof benchmark for vulnerability detection in the wildCode0
Vulnerability Detection in Smart Contracts: A Comprehensive Survey—0
Automated Progressive Red TeamingCode0
Revisiting the Performance of Deep Learning-Based Vulnerability Detection on Realistic DatasetsCode0
Dual-view Aware Smart Contract Vulnerability Detection for Ethereum—0
Prompt Injection Attacks in Defended Systems—0
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG—0
Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG EvaluationCode0
Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models—0
Explaining the Contributing Factors for Vulnerability Detection in Machine Learning—0
Bi-Directional Transformers vs. word2vec: Discovering Vulnerabilities in Lifted Compiled Code—0
Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study—0
Vulnerability Detection in C/C++ Code with Deep Learning—0
Transfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls—0
MetaReflection: Learning Instructions for Language Agents using Past Reflections—0
Large Language Models for Cyber Security: A Systematic Literature ReviewCode0
Machine Learning Techniques for Python Source Code Vulnerability DetectionCode0
Tasks People Prompt: A Taxonomy of LLM Downstream Tasks in Software Verification and Falsification Approaches—0
Beyond Random Inputs: A Novel ML-Based Hardware Fuzzing—0
Dynamic Neural Control Flow Execution: An Agent-Based Deep Equilibrium Approach for Binary Vulnerability Detection—0
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning—0
Multi-role Consensus through LLMs Discussions for Vulnerability DetectionCode0
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks—0
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation—0
Evaluation of ChatGPT's Smart Contract Auditing Capabilities Based on Chain of Thought—0
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning—0
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All datasetsVulScribeRVulnerability Java Dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Reveal Model - Tested on Reveal (Training on Devign + VulScribeR 20K + Extra Cleans)F1 Score26.18—Unverified
2Devign Model - Tested on Reveal (Training on Devign + VulScribeR 20K + Extra Cleans)F1 Score24.99—Unverified
3Reveal Model - Tested on Bigvul (Training on Devign + VulScribeR 20K + Extra Cleans)F1 Score18.98—Unverified
4Devign Model - Tested on Bigvul (Training on Devign + VulScribeR 20K + Extra Cleans)F1 Score18.51—Unverified
5LineVul - Tested on Reveal (Training on Devign + VulScribeR 20K + Extra Cleans)F1 Score17.38—Unverified
6LineVul - Tested on BigVul (Training on Devign + VulScribeR 20K+ Extra Cleans)F1 Score16.23—Unverified
#ModelMetricClaimedVerifiedStatus
1WizardCoderAUC0.86—Unverified
2ContraBERTAUC0.85—Unverified