CVE-2026-24174
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 could cause a server crash by sending a malformed request to the server. 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 has a denial-of-service vulnerability where specially crafted malformed requests can trigger a server crash. The vulnerability stems from improper handling of certain request inputs that leads to an exploitable crash condition.
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< 26.02CVSS 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 if NVIDIA Triton Inference Server is installedCheck for Triton Server process: run 'ps aux | grep tritonserver' or look for the executable in common paths like '/opt/tritonserver' or check via Docker with 'docker ps'. Also check installed packages with package manager.Affected if Triton Inference Server is found running or installed on the system
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Determine the installed Triton Server versionRun the server with --version flag: 'tritonserver --version' or check the container image tag if using Docker: 'docker images | grep triton'. Check the binary or package version if installed via package manager.Affected if The version number is lower than 26.02 (e.g., 26.01, 25.x, older)
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Verify if the inference endpoint is exposedCheck if Triton Server is listening on expected ports (typically 8000 for HTTP, 8001 for GRPC, 8002 for metrics). Run 'netstat -tlnp | grep -E "(8000|8001|8002)"' or 'ss -tlnp | grep -E "(8000|8001|8002)"' to see if these ports are in LISTEN state.Affected if The HTTP (8000) or GRPC (8001) endpoint is exposed and accessible to network clients
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Check for indicators of crashes or instabilityReview server logs in the path specified at startup (typically /var/log/triton or check Docker logs with 'docker logs <container_id>'). Look for sudden process exits, segfaults, or crash messages around the time of suspicious requests.Affected if Unexpected server crashes or restarts have occurred that cannot be explained by resource exhaustion or other known issues
You are affected if Triton Inference Server is running and the installed version is below 26.02 with an exposed HTTP or GRPC endpoint that could receive malformed 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 · scoped26.02
Implement robust input validation and error handling on all request paths; monitor for indicators of compromise; apply vendor patches when released. Consider rate limiting and request sanitization as interim defenses.
Triton Inference Server 26.02 or later
- 1. Backup your current Triton Inference Server configuration and any custom models
- 2. Stop the currently running Triton Inference Server instance
- 3. Pull or download Triton Inference Server version 26.02 or later from NVIDIA's container registry or releases
- 4. Update your deployment to use the new version (e.g., docker run with the new image tag or update your deployment configuration)
- 5. Verify the server starts successfully and test with a valid inference request
- 6. Monitor logs to confirm the server is running without crashes
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation12.0 h
- Testing8.0 h
- Review / QA4.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2026-24174 — 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-2026-24174 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
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