NemoApplication · Nvidia

CVE-2025-23314

HIGH · 7.8 CVSS v3.1 Published 2025-08-26
Fix available
A fix is available. Upgrade to 2.4.0 or later.
See remediation →
80/100
Remediation priority · High
Zero-click

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 · unedited
NVIDIA NeMo Framework for all platforms contains a vulnerability in the NLP component, where malicious data created by an attacker could cause a code injection issue. A successful exploit of this vulnerability might 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 confidence

NVIDIA NeMo Framework's NLP component contains a code injection vulnerability where maliciously crafted input data can be leveraged to inject and execute arbitrary code. Successful exploitation could allow an attacker to achieve code execution, escalate privileges, disclose sensitive information, or tamper with data within the affected system.

MitigationApply the NVIDIA-provided patch when available. In the interim, implement strict input validation and sanitization on all data entering the NLP pipeline, and restrict network access to services processing untrusted input.

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
NemoApplication
Affected:< 2.4.0

CVSS 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 checks

Work through these to decide whether this CVE applies to you.

  1. Identify installed NeMo version
    Run `pip show nemo` or `pip show nemo-framework` to retrieve the installed version number. If using a container, check the image manifest or label.
    Affected if The installed version is below 2.4.0 (e.g., 2.3.0, 2.2.0, etc.)
  2. Confirm NLP component is in use
    Inspect your codebase or pipeline configuration for imports or usage of NeMo NLP modules such as `nemo.collections.nlp` or related tokenizers, language models, or text processing pipelines.
    Affected if The NLP component from NeMo is actively imported or instantiated in your environment
  3. Verify input source handling
    Review data ingestion points where external or untrusted text data enters the NLP pipeline, such as API endpoints, file uploads, or streaming inputs that feed into NeMo NLP models.
    Affected if The NLP pipeline processes input from untrusted or external sources without strict validation applied beforehand
  4. Check for input sanitization implementation
    Audit the code that passes data to NeMo NLP models for the presence of input validation or sanitization routines. Look for explicit checks on text input before model inference.
    Affected if No input validation or sanitization is performed on data passed to the NLP component, or such checks are absent from the pipeline

You are affected if NeMo version is below 2.4.0 and your system processes untrusted external input through the NLP component without validation.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

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 · scoped
Upgrade available Upgrade to 2.4.0 or later
Fixed in 2.4.0
Interim mitigation

Apply the NVIDIA-provided patch when available. In the interim, implement strict input validation and sanitization on all data entering the NLP pipeline, and restrict network access to services processing untrusted input.

Recommended fix Moderate confidence

2.4.0

  1. Check current Nemo installation version using 'pip show nemo' or your package manager
  2. Upgrade Nemo to version 2.4.0 or later using your package manager (e.g., pip install --upgrade nemo==2.4.0 or conda install nemo=2.4.0)
  3. After upgrade, verify the NLP component is functioning correctly and test your pipelines
  4. Ensure any custom code or configurations that interact with the NLP component are reviewed for compatibility

Generated from the published advisory — verify against the referenced sources before acting.

Fix this in Nemo Scoped from the published advisory
  • Consultation12.0 h
  • Implementation32.0 h
  • Testing16.0 h
  • Review / QA8.0 h
68.0 hours of engineering $12,000
Get the upgrade done

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $19,200.

Scan for this in your stack

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dbcve dependency scanner

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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2025-23314 in production — separate from our analysis above.

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What this is

A place for practitioners to share what actually worked: a mitigation you’ve tested, a configuration change, a version- or environment-specific caveat, or a link to a verified patch. The most useful notes rise to the top as peers upvote them, so the signal stays high.

What belongs here
  • 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
  • No spam, self-promotion, credentials, or personal data