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 151–200 of 216 papers

TitleStatusHype
Vulnerability Detection Using Two-Stage Deep Learning Models—0
The EarlyBIRD Catches the Bug: On Exploiting Early Layers of Encoder Models for More Efficient Code ClassificationCode0
Redundancy and Concept Analysis for Code-trained Language Models—0
HyMo: Vulnerability Detection in Smart Contracts using a Novel Multi-Modal Hybrid Model—0
Smart Learning to Find Dumb Contracts (Extended Version)—0
An Unbiased Transformer Source Code Learning with Semantic Vulnerability GraphCode1
Evaluation of ChatGPT Model for Vulnerability Detection—0
DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability DetectionCode1
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity AnalysisCode1
Automated Vulnerability Detection in Source Code Using Quantum Natural Language Processing—0
Software Vulnerability Prediction Knowledge Transferring Between Programming Languages—0
Graph Neural Networks Enhanced Smart Contract Vulnerability Detection of Educational Blockchain—0
VuLASTE: Long Sequence Model with Abstract Syntax Tree Embedding for vulnerability Detection—0
Developing Hands-on Labs for Source Code Vulnerability Detection with AI—0
An Automated Vulnerability Detection Framework for Smart Contracts—0
Dataflow Analysis-Inspired Deep Learning for Efficient Vulnerability DetectionCode1
An Empirical Study of Deep Learning Models for Vulnerability Detection—0
DCDetector: An IoT terminal vulnerability mining system based on distributed deep ensemble learning under source code representation—0
Deep-Learning-based Vulnerability Detection in Binary Executables—0
Deep Smart Contract Intent DetectionCode1
Potential Auto-driving Threat: Universal Rain-removal Attack—0
Pre-Training Representations of Binary Code Using Contrastive Learning—0
Statement-Level Vulnerability Detection: Learning Vulnerability Patterns Through Information Theory and Contrastive LearningCode0
Cross Project Software Vulnerability Detection via Domain Adaptation and Max-Margin PrincipleCode1
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract VulnerabilitiesCode1
Adding Context to Source Code Representations for Deep Learning—0
VulCNN: An Image-inspired Scalable Vulnerability Detection SystemCode1
VulBERTa: Simplified Source Code Pre-Training for Vulnerability DetectionCode1
Transformer-Based Language Models for Software Vulnerability Detection—0
Learning Program Semantics with Code Representations: An Empirical StudyCode1
VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python—0
Unveiling Project-Specific Bias in Neural Code Models—0
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code SearchCode1
A Survey on Machine Learning Techniques for Source Code AnalysisCode1
ReGVD: Revisiting Graph Neural Networks for Vulnerability DetectionCode1
GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection—0
Fine-grained Software Vulnerability Detection via Information Theory and Contrastive Learning—0
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation—0
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability DetectionCode1
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern FusionCode1
Security Vulnerability Detection Using Deep Learning Natural Language Processing—0
A comparative study of neural network techniques for automatic software vulnerability detection—0
Literature review on vulnerability detection using NLP technology—0
Multi-context Attention Fusion Neural Network for Software Vulnerability Identification—0
ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning—0
D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential AnalysisCode1
Old but Gold: Reconsidering the value of feedforward learners for software analyticsCode0
Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart ContractsCode1
Stack-based Buffer Overflow Detection using Recurrent Neural NetworksCode1
Trex: Learning Execution Semantics from Micro-Traces for Binary SimilarityCode1
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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