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 51–75 of 216 papers

TitleStatusHype
Explainer-guided Targeted Adversarial Attacks against Binary Code Similarity Detection Models—0
A Systematic Literature Review on Explainability for Machine/Deep Learning-based Software Engineering Research—0
CovRL: Fuzzing JavaScript Engines with Coverage-Guided Reinforcement Learning for LLM-based Mutation—0
An Automated Vulnerability Detection Framework for Smart Contracts—0
CORE: Benchmarking LLMs Code Reasoning Capabilities through Static Analysis Tasks—0
Augmenting Greybox Fuzzing with Generative AI—0
Data Quality Issues in Vulnerability Detection Datasets—0
DCDetector: An IoT terminal vulnerability mining system based on distributed deep ensemble learning under source code representation—0
Computing Modes of Instability of Parameterized Nonlinear Systems for Vulnerability Assessment—0
Deep-Learning-based Vulnerability Detection in Binary Executables—0
A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly—0
Automated Vulnerability Detection in Source Code Using Quantum Natural Language Processing—0
Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection—0
Pre-Training Representations of Binary Code Using Contrastive Learning—0
A Survey of Source Code Representations for Machine Learning-Based Cybersecurity Tasks—0
A Multi-Dataset Evaluation of Models for Automated Vulnerability Repair—0
ActiveClean: Generating Line-Level Vulnerability Data via Active Learning—0
Explaining the Contributing Factors for Vulnerability Detection in Machine Learning—0
Code Vulnerability Repair with Large Language Model using Context-Aware Prompt Tuning—0
A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection—0
Closing the Gap: A User Study on the Real-world Usefulness of AI-powered Vulnerability Detection & Repair in the IDE—0
CGP-Tuning: Structure-Aware Soft Prompt Tuning for Code Vulnerability Detection—0
A Multi-Agent Framework for Automated Vulnerability Detection and Repair in Solidity and Move Smart Contracts—0
To Err is Machine: Vulnerability Detection Challenges LLM Reasoning—0
Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code—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