CVE-2025-23268
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 contains a vulnerability in the DALI backend where an attacker may cause an improper input validation issue. A successful exploit of this vulnerability may lead to code execution.
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 contains an improper input validation vulnerability in its DALI backend. Attackers can exploit this to achieve code execution on the inference server. The vulnerability stems from insufficient validation of inputs processed through the DALI (NVIDIA Data Loading Library) pipeline, allowing malicious input to trigger arbitrary code execution.
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< 25.07CVSS 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 Triton Inference Server versionRun 'tritonserver --version' from the command line, or check the Docker image tag if running in a container. Alternatively, query the server metrics endpoint at /metrics to locate the version string.Affected if Version is lower than 25.07
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Confirm DALI backend is enabledReview Triton configuration files (config.pbtxt) for model pipelines. Look for 'dali' or 'DALI' in the backend configuration section, or check if any models use the DALI executor type.Affected if DALI backend is loaded or any DALI-based model pipeline is configured in the environment
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Assess network exposureVerify if the Triton Inference Server API endpoints (typically port 8000 for HTTP, port 8001 for gRPC) are exposed to untrusted networks or directly to the internet.Affected if Server is reachable from untrusted networks without proper network segmentation or authentication
Environment is affected if Triton Inference Server version is below 25.07 and the DALI backend is in use, allowing remote attackers to execute arbitrary code via crafted DALI pipeline inputs.
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 · scoped25.07
Apply NVIDIA security patches for Triton Inference Server when released. Until then, restrict network access to Triton Inference Server endpoints and implement input sanitization at the application layer. Consider disabling the DALI backend if not required.
Triton Inference Server 25.07 or later
- 1. Identify current Triton Inference Server version by checking the deployed image or binary version
- 2. Stop or scale down Triton Inference Server instances
- 3. Pull the updated Triton Inference Server image with version 25.07 or later from NVIDIA's container registry
- 4. Update deployment manifests to reference the new version (e.g., nvcr.io/nvidia/tritonserver:25.07-py3 or later)
- 5. Verify the new image version matches or exceeds 25.07
- 6. Restart Triton Inference Server with the updated image
- 7. Validate that Triton Inference Server starts successfully and the DALI backend is operational
- 8. Test inference workflows to confirm normal operation
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-2025-23268 — 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-2025-23268 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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