Datasets:
metadata
language:
- en
license: mit
tags:
- security
- api-security
- vulnerability-detection
- code
- owasp
task_categories:
- text-classification
- text-generation
size_categories:
- 1K<n<10K
API Vulnerability Dataset (10K)
A dataset of 10,000 API-specific vulnerability samples used to fine-tune harsharajkumar273/api-security-qlora — a QLoRA adapter on CodeLlama-7b for automated API security analysis.
Dataset Summary
Each sample contains a vulnerable or clean API endpoint code snippet paired with a structured security analysis covering vulnerability type, severity, CWE ID, and a remediated version.
Language & Framework Distribution
| Language | Share | Frameworks |
|---|---|---|
| Python | 46% | Flask, FastAPI, Django |
| JavaScript | 25% | Express.js, NestJS |
| Java | 15% | Spring Boot |
| PHP / Go / Ruby / C# | 14% | Laravel, Gin, Rails, ASP.NET |
Vulnerability Distribution
| Vulnerability | Samples | CWE |
|---|---|---|
| SQL Injection | 2,425 | CWE-89 |
| Mass Assignment | 1,307 | CWE-915 |
| Path Traversal | 943 | CWE-22 |
| IDOR | 860 | CWE-639 |
| Broken Authorization | 792 | CWE-285 |
| Command Injection | 600 | CWE-78 |
Severity Breakdown
- Critical (43%): RCE, SQLi, unauthorized admin access
- High (41%): Data leaks, IDOR, authorization bypass
- Medium / Clean (16%): XSS, input validation warnings, baseline clean samples
Usage
This dataset was used to fine-tune the api-security-qlora adapter and is also consumed directly by the API Security Scanner rules engine.
Credits
CS6380 — API Security Project Authors: Siddhanth Nilesh Jagtap · Tanuj Kenchannavar · Harsha Raj Kumar