Datasets:
File size: 1,865 Bytes
e600e8a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | ---
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](https://huggingface.co/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](https://huggingface.co/harsharajkumar273/api-security-qlora) adapter and is also consumed directly by the [API Security Scanner](https://github.com/harsharajkumar/api-security) rules engine.
## Credits
**CS6380 — API Security Project**
Authors: Siddhanth Nilesh Jagtap · Tanuj Kenchannavar · Harsha Raj Kumar
|