CVE-2025-33204
Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.
NVD · uneditedNVIDIA 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.
Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.
dbcve analysis · moderate confidenceNVIDIA NeMo Framework contains a code injection vulnerability in its NLP and LLM processing components where maliciously crafted input data can be exploited to inject and execute arbitrary code. This affects the data handling pipelines within the framework's language model preprocessing and inference systems.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.
NVD · CPE data< 2.5.1CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.
From the vector- Attack vector
- Local
- Complexity
- Low
- Privileges
- Low
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.
dbcve checksWork through these to decide whether this CVE applies to you.
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Identify installed NeMo Framework versionRun 'pip show nemo' or check the framework package version in your Python environment. If using a container, check the image tag or version label.Affected if The installed version is lower than 2.5.1
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Confirm NLP/LLM components are in useReview your application code and configuration to determine if NeMo's NLP or LLM processing pipelines are instantiated. Check for imports of nemo.collections.nlp or nemo.collections.llm modules.Affected if NLP or LLM modules from NeMo are imported and actively used in your data processing workflow
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Examine data input paths to NeMo pipelinesAudit how data enters your NLP/LLM pipelines. Check if user-supplied, external, or untrusted data flows directly into NeMo's data loaders, tokenizers, or model inference calls without validation layers.Affected if External or untrusted input data can reach NeMo's NLP/LLM processing without sanitization
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Inspect tokenizer and preprocessing configurationsReview NeMo tokenizer configuration and data preprocessing settings. Check if custom tokenizers or data handlers are configured that process raw input strings.Affected if Custom tokenizers or data preprocessing handlers are configured that process raw input before model inference
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Verify network exposure of NeMo servicesDetermine if NeMo-based services are exposed via API endpoints, web interfaces, or network services that accept external requests.Affected if NeMo inference endpoints accept requests from untrusted network sources
You are affected if NeMo Framework version is below 2.5.1 and your environment processes untrusted input through NLP/LLM pipelines without validation.
Generated from the published advisory. Verify against your own configuration.
Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.
dbcve · scoped2.5.1
Implement strict input validation and sanitization on all data entering NLP/LLM pipelines; apply vendor security patches immediately upon release and audit data flow paths for injection points.
2.5.1
- Verify current NeMo Framework installation version using environment inspection or dependency check
- Plan upgrade considering existing workflows, dependencies, and integration points
- Upgrade NeMo Framework to version 2.5.1 or later
- Validate the upgrade by testing NLP and LLM component functionality
- Monitor for any unexpected behavior in code execution from external inputs
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation6.0 h
- Implementation12.0 h
- Testing10.0 h
- Review / QA4.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2025-33204 — or any other known-vulnerable package — straight from your lock files. Free and open source; it runs locally and uploads nothing.
References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.
Primary sourcesPractitioner notes
ContributedPeer-ranked notes from engineers who’ve handled CVE-2025-33204 in production — separate from our analysis above.
The advisory tells you what broke. It rarely tells you what actually worked. If you’ve dealt with this one, that detail is what the next engineer is searching for.
- The version that genuinely resolved it — not the one the vendor claimed
- A config change or rule that shut the vector down
- A gotcha in the upgrade path that cost you an afternoon
No notes yet
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- Verified mitigations, workarounds, and config changes
- Version or environment caveats, and links to real fixes
- No weaponised exploit code, or anything meant to cause harm
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