CVE-2025-33254
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 where an attacker may cause internal state corruption. A successful exploit of this vulnerability may lead to a denial of service.
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 a vulnerability that allows an attacker to corrupt internal state, potentially leading to denial of service. The vulnerability exists in the inference server's state management logic and can be exploited remotely with network access.
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< 26.01CVSS 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
- None
- Integrity
- None
- Availability
- High
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/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 versionCheck the installed version of NVIDIA Triton Inference Server. If running from Docker, inspect the image tag or run 'tritonserver --version'. If installed via package manager, use 'pip show triton-inference-server' or check the package version.Affected if The installed version is earlier than 26.01
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Determine network exposureVerify if the Triton Inference Server HTTP/gRPC endpoints are bound to non-localhost interfaces or are accessible from network segments beyond trusted clients. Check service configuration files and runtime binding flags (--http-address, --grpc-address).Affected if The server is bound to 0.0.0.0 or an external network interface and is accessible to untrusted network clients
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Inspect running service configurationReview the command-line arguments or configuration used to launch Triton Inference Server. Look for flags related to model repository, HTTP port, gRPC port, and metrics port.Affected if Network services are enabled and exposed without proper access restrictions
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Check for service instabilityMonitor Triton Inference Server logs and metrics for signs of state corruption, unexpected crashes, or denial of service indicators such as repeated restarts, failed inference requests, or memory anomalies.Affected if The server exhibits unexplained instability or repeated failures that may indicate exploitation
You are affected if running any NVIDIA Triton Inference Server version before 26.01 with network accessibility from untrusted clients.
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 · scoped26.01
Restrict network access to the Triton Inference Server to trusted clients only, and monitor for indicators of exploitation. Apply vendor patches when available.
26.01
- 1. Back up your current Triton Inference Server configuration and any custom model configurations.
- 2. Stop the currently running Triton Inference Server instance.
- 3. Download the Triton Inference Server version 26.01 or later from the official NVIDIA repository or container registry.
- 4. Install the new version following the standard NVIDIA Triton installation procedures for your deployment method (Docker, native, or Kubernetes).
- 5. Verify that the Triton Inference Server starts successfully with the new version.
- 6. Test your inference workflows to ensure normal operation.
- 7. Monitor logs for any errors or unusual behavior following the upgrade.
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation8.0 h
- Testing4.0 h
- Review / QA2.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2025-33254 — 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-2025-33254 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
- No spam, self-promotion, credentials, or personal data