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 51–100 of 216 papers

TitleStatusHype
Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE—0
On the Compression of Language Models for Code: An Empirical Study on CodeBERT—0
Can LLM Prompting Serve as a Proxy for Static Analysis in Vulnerability Detection—0
SoK: On Closing the Applicability Gap in Automated Vulnerability Detection—0
Knowledge Migration Framework for Smart Contract Vulnerability Detection—0
MVD: A Multi-Lingual Software Vulnerability Detection Framework—0
Leveraging Generative AI to Enhance Automated Vulnerability ScoringCode0
On the Lack of Robustness of Binary Function Similarity Systems—0
Impact of Data Snooping on Deep Learning Models for Locating Vulnerabilities in Lifted Code—0
SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework—0
EnStack: An Ensemble Stacking Framework of Large Language Models for Enhanced Vulnerability Detection in Source Code—0
An Empirical Study of Vulnerability Detection using Federated Learning—0
CryptoFormalEval: Integrating LLMs and Formal Verification for Automated Cryptographic Protocol Vulnerability DetectionCode1
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
Is Function Similarity Over-Engineered? Building a BenchmarkCode1
AI Cyber Risk Benchmark: Automated Exploitation Capabilities—0
Automated Vulnerability Detection Using Deep Learning Technique—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
VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMsCode1
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
EaTVul: ChatGPT-based Evasion Attack Against Software Vulnerability DetectionCode1
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
SCoPE: Evaluating LLMs for Software Vulnerability Detection—0
FuzzTheREST: An Intelligent Automated Black-box RESTful API Fuzzer—0
eyeballvul: a future-proof benchmark for vulnerability detection in the wildCode0
MoreFixes: A Large-Scale Dataset of CVE Fix Commits Mined through Enhanced Repository DiscoveryCode2
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
VulDetectBench: Evaluating the Deep Capability of Vulnerability Detection with Large Language ModelsCode1
An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong DetectionCode2
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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