CVE-2025-23324
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 where a user could cause an integer overflow or wraparound, leading to a segmentation fault, by providing an invalid request. A successful exploit of this vulnerability might lead to 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 an integer overflow or wraparound vulnerability in its request processing logic. An attacker can trigger this by sending specially crafted invalid requests, causing a segmentation fault and resulting in denial of service. The vulnerability affects both Windows and Linux deployments.
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< 25.05CVSS 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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Verify NVIDIA Triton Inference Server is runningCheck for running Triton processes or containers: `ps aux | grep tritonserver` or `docker ps | grep triton`Affected if Triton server process or container is actively running
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Identify the installed Triton versionRun `tritonserver --version` or inspect the Docker image tag: `docker images | grep triton`Affected if The version displayed is less than 25.05 (e.g., 25.04, 24.xx, or any version before 25.05)
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Confirm the server is network-accessibleCheck if Triton is bound to a network interface: review startup configuration or running ports with `netstat -tlnp | grep 8000` (Triton typically uses port 8000)Affected if The service is listening on a reachable network interface, making it exploitable via crafted requests
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Check for active request endpointsReview Triton configuration files or running parameters for enabled model endpoints: examine startup logs or config files used during server launchAffected if Request processing endpoints are enabled and accepting client traffic
You are affected if Triton Inference Server version is less than 25.05 and the service is running and accessible to process incoming requests.
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 · scoped25.05
Apply the vendor-provided patch or update to a fixed version of NVIDIA Triton Inference Server as soon as possible. If immediate patching is not feasible, implement request validation and rate limiting as a compensating control.
Triton Inference Server 25.05
- 1. Back up the current Triton Inference Server configuration, model repository, and any custom settings
- 2. Stop the Triton Inference Server service to ensure a clean upgrade
- 3. Upgrade Triton Inference Server to version 25.05 or later using the appropriate installation method for your environment (e.g., pip install triton-inference-server==25.05, Docker container, or binary installation)
- 4. Verify the new version is installed correctly by checking the server version (e.g., using the /v2/health/ready endpoint or triton --version)
- 5. Start the Triton Inference Server service
- 6. Validate that the server is functioning normally by sending test inference requests
- 7. Confirm the integer overflow vulnerability is addressed by attempting the previously problematic request pattern (if known)
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation2.0 h
- Implementation4.0 h
- Testing2.0 h
- Review / QA1.0 h
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Free · runs locallyCheck whether your project pulls in CVE-2025-23324 — 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-2025-23324 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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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.
- 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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