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
Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models—0
NYU CTF Bench: A Scalable Open-Source Benchmark Dataset for Evaluating LLMs in Offensive SecurityCode11
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-TuningCode2
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
IoTvulCode: AI-enabled vulnerability detection in software products designed for IoT applicationsCode1
Large Language Models for Cyber Security: A Systematic Literature ReviewCode0
Graph Neural Networks for Vulnerability Detection: A Counterfactual ExplanationCode1
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
Vulnerability Detection with Code Language Models: How Far Are We?Code3
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
Finetuning Large Language Models for Vulnerability DetectionCode2
LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning—0
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
How Far Have We Gone in Vulnerability Detection Using Large Language ModelsCode1
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
Large Language Model-Powered Smart Contract Vulnerability Detection: New PerspectivesCode1
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
When Less is Enough: Positive and Unlabeled Learning Model for Vulnerability DetectionCode1
GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program AnalysisCode1
SecureFalcon: Are We There Yet in Automated Software Vulnerability Detection with LLMs?—0
Uncovering the Limits of Machine Learning for Automatic Vulnerability DetectionCode1
LIVABLE: Exploring Long-Tailed Classification of Software Vulnerability TypesCode1
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
Learning to Quantize Vulnerability Patterns and Match to Locate Statement-Level VulnerabilitiesCode1
Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning?—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