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---
license: mit
tags:
- SQL Injection
widget:
- text: 1 UNION SELECT username, password FROM users --
example_title: SQL Injection Detection
metrics:
- f1
- accuracy
---
**A distilBERT based SQL Injection Detection Model**
**Model description**
This model, based on DistilBERT, is specifically tailored for the detection of SQL injection attacks.
Through fine-tuning using the Hugging Face's Trainer API, the model has been trained to identify potentially malicious SQL queries with high accuracy.
- __Architecture:__ DistilBERT
- __Fine-tuning Method:__ Trainer API
- __Performance Metrics:__
- __F1-score:__ 99.86%
- __Accuracy:__ 99.99%
- __Training Epochs:__ 6
**Dataset description**
The model was fine-tuned on the SQL Injectiom dataset, curated and made available by SAJID576 on Kaggle.
This dataset comprises of 30,920 rows of SQL queries, including both benign and malicious examples, providing a comprehensive training corpus for robust model development.
- __Dataset Source:__ https://www.kaggle.com/datasets/sajid576/sql-injection-dataset/data
- __Size:__ 30,920 rows |