Create README.md

README.md

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+---
+language:
+- en
+pipeline_tag: text-classification
+library_name: transformers
+tags:
+- cybersecurity
+- xss
+- security
+- web
+- payload-detection
+- text-classification
+---
+# XSS Payload Detector
+
+DistilBERT-based machine learning model for detecting XSS payloads.
+
+## Labels
+
+| Label | Description |
+|---------|-------------|
+| NORMAL | Benign input |
+| XSS | Potential XSS payload |
+
+## Requirements
+
+```bash
+pip install torch
+pip install transformers
+pip install flask
+```
+
+## Usage
+
+Start the test server:
+
+```bash
+python test_server.py
+```
+
+Start monitoring:
+
+```bash
+python monitor.py
+```
+
+Open browser:
+
+```text
+http://127.0.0.1:8080/?q=abcde
+```
+
+Example payload:
+
+```text
+http://127.0.0.1:8080/?q=<img src='x' onerror='alert("xss")'>
+```
+
+## CLI Tool
+
+```bash
+python inference_bert_url.py
+```
+
+This tool accepts user input and classifies it as NORMAL or XSS.
+
+## Model Files
+
+- config.json
+- model.safetensors
+- tokenizer.json
+- tokenizer_config.json
+- vocab.txt
+
+## Framework
+
+- PyTorch
+- Transformers