CVE-2025-23316
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 Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause a remote code execution by manipulating the model name parameter in the model control APIs. A successful exploit of this vulnerability might lead to remote code execution, denial of service, 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 Triton Inference Server's Python backend has a code injection vulnerability in the model control APIs. By manipulating the model name parameter, an attacker can inject and execute arbitrary code on the server. This stems from insufficient validation/sanitization of the model name input before it's used in backend processing operations.
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< 25.08CVSS 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
- Network
- Complexity
- Low
- Privileges
- None
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:N/AC:L/PR:N/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 Triton Inference Server versionCheck the Triton server version by querying the server's API endpoint (typically GET /v2/health/ready or checking server logs/containers) or by running 'tritonserver --version' if accessibleAffected if The installed version is any release prior to 25.08 (e.g., 25.03, 24.x, earlier)
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Verify Python backend is enabledCheck the Triton server configuration (config.pbtxt) for the 'python' backend or inspect running backend processes/containers to confirm the Python backend is loadedAffected if The Python backend is loaded and actively processing model requests
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Confirm model control API accessibilityInspect Triton server network configuration and firewall settings to determine if the model control endpoints (typically under /v2/models/) are exposed to network accessAffected if The model control APIs are reachable over the network without additional authentication or network segmentation
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Check for custom model name validationReview any custom middleware, preprocessing scripts, or proxy configurations that sit in front of Triton to see if model name parameters are validated before reaching the Python backendAffected if No custom input validation exists on model name parameters passing to the Python backend
The environment is affected if running any Triton Inference Server version prior to 25.08 with the Python backend enabled and its model control APIs accessible over the network.
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 · scoped25.08
Upgrade to the NVIDIA-provided patch which implements proper input validation and sanitization for model name parameters in the Python backend. If immediate patching is not possible, restrict network access to the model control APIs and implement additional authentication layers.
25.08
- Upgrade Triton Inference Server to version 25.08 or later
- Verify the upgrade by checking the server version after installation
- Test that model control APIs function correctly with the updated version
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation8.0 h
- Testing6.0 h
- Review / QA4.0 h
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Free · runs locallyCheck whether your project pulls in CVE-2025-23316 — 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-2025-23316 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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- Version or environment caveats, and links to real fixes
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