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A basic Implementation of a report server for an XSS Canary
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from flask import Flask, request | |
from flask_cors import CORS | |
import json | |
app = Flask(__name__) | |
CORS(app) | |
@app.route('/xss', methods=['POST']) | |
def xss_canary(): | |
# Get JSON data from the request | |
canary_data = request.get_json() | |
# List of required fields, with 'dom' as optional | |
required_fields = ['alert_msg', 'stack', 'url', 'ref', 'timestamp'] | |
# Ensure the data is present and contains the necessary fields | |
if not canary_data or not all(key in canary_data for key in required_fields): | |
return "Invalid data", 400 | |
# Append the canary data as a JSON object on a new line | |
with open('xss_canary.json', 'a') as log_file: | |
json.dump(canary_data, log_file) | |
log_file.write("\n") # Add a newline after each JSON object | |
return '', 204 # No content response for success | |
@app.route('/xss', methods=['GET']) | |
def xss_get(): | |
return "It's working!" | |
if __name__ == '__main__': | |
app.run(host='0.0.0.0', port=5000) # Default run for testing locally |
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