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
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research—0
Your Instructions Are Not Always Helpful: Assessing the Efficacy of Instruction Fine-tuning for Software Vulnerability Detection—0
LLbezpeky: Leveraging Large Language Models for Vulnerability Detection—0
Exploring the Limits of ChatGPT in Software Security Applications—0
ActiveClean: Generating Line-Level Vulnerability Data via Active Learning—0
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly—0
Do Language Models Learn Semantics of Code? A Case Study in Vulnerability Detection—0
Vignat: Vulnerability identification by learning code semantics via graph attention networks—0
Towards Causal Deep Learning for Vulnerability Detection—0
Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games—0
XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection—0
VulnSense: Efficient Vulnerability Detection in Ethereum Smart Contracts by Multimodal Learning with Graph Neural Network and Language Model—0
Using ChatGPT as a Static Application Security Testing Tool—0
ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching—0
SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?—0
Augmenting Greybox Fuzzing with Generative AI—0
DSHGT: Dual-Supervisors Heterogeneous Graph Transformer -- A pioneer study of using heterogeneous graph learning for detecting software vulnerabilitiesCode0
Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks—0
Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning?—0
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
Evaluation of ChatGPT Model for Vulnerability Detection—0
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
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
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
Adding Context to Source Code Representations for Deep Learning—0
Transformer-Based Language Models for Software Vulnerability Detection—0
VUDENC: Vulnerability Detection with Deep Learning on a Natural Codebase for Python—0
Unveiling Project-Specific Bias in Neural Code Models—0
Fine-grained Software Vulnerability Detection via Information Theory and Contrastive Learning—0
GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection—0
Software Vulnerability Detection via Deep Learning over Disaggregated Code Graph Representation—0
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
Old but Gold: Reconsidering the value of feedforward learners for software analyticsCode0
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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