Text Classification
Transformers
Safetensors
English
distilbert
cybersecurity
xss
security
web
payload-detection
web-security
Instructions to use kd7979148/XSS_Payload_Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kd7979148/XSS_Payload_Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kd7979148/XSS_Payload_Detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kd7979148/XSS_Payload_Detector") model = AutoModelForSequenceClassification.from_pretrained("kd7979148/XSS_Payload_Detector") - Notebooks
- Google Colab
- Kaggle
| # -*- coding: utf-8 -*- | |
| from flask import ( | |
| Flask, | |
| request, | |
| render_template | |
| ) | |
| app = Flask(__name__) | |
| def home(): | |
| ################################################# | |
| # save logs | |
| ################################################# | |
| with open("access.log", "a", encoding="utf-8") as f: | |
| log = ( | |
| f'{request.remote_addr} - ' | |
| f'"{request.method} {request.full_path} HTTP/1.1"\n' | |
| ) | |
| f.write(log) | |
| f.flush() | |
| ################################################# | |
| # q param | |
| ################################################# | |
| q = request.args.get("q", "") | |
| ################################################# | |
| # html render | |
| ################################################# | |
| return render_template( | |
| "index.html", | |
| q=q | |
| ) | |
| if __name__ == "__main__": | |
| app.run( | |
| host="0.0.0.0", | |
| port=8080, | |
| debug=False | |
| ) | |