C

Codebert Base Finetuned Detect Insecure Code

Developed by mrm8488
A model fine-tuned on CodeXGLUE defect detection dataset based on CodeBERT, used to identify insecure code
Downloads 318
Release Time : 3/2/2022

Model Overview

This model is specifically designed to detect insecure code that may attack software systems, such as resource leaks, use-after-free vulnerabilities, and DoS attacks.

Model Features

Efficient Code Analysis
Based on the CodeBERT pre-trained model, it effectively understands code semantics
Accurate Vulnerability Detection
Specially optimized for training on various types of code vulnerabilities
High Performance
Achieves 65.3% accuracy on the test set, outperforming similar models

Model Capabilities

Code Security Analysis
Vulnerability Detection
Code Classification

Use Cases

Software Development Security
Automated Code Review
Automatically detect insecure code during the development process
Improves code security and reduces manual review workload
CI/CD Integration
Identify potential vulnerabilities in continuous integration workflows
Early detection of security issues, reducing repair costs
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