CVE-2024-0088
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 Linux contains a vulnerability in shared memory APIs, where a user can cause an improper memory access issue by a network API. A successful exploit of this vulnerability might lead to denial of service 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 for Linux contains a vulnerability in its shared memory APIs where improper memory access can be triggered through a network API. The vulnerability allows a user to potentially cause denial of service and data tampering via improper memory 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>= 20.10, < 24.04CVSS 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
- Low
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- None
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/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 installationRun 'pip show triton-inference-server' or check for '/opt/tritonserver' directory, or run 'tritonserver --version' if installed system-wideAffected if Triton Inference Server is not installed on the system
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Determine installed Triton versionRun 'pip show triton-inference-server' and note the Version field, or check 'tritonserver --version' outputAffected if Version is >= 20.10 and < 24.04 (the affected range)
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Verify shared memory network API is exposedCheck if Triton server HTTP/REST API ports (default 8000) or gRPC port (8001) are listening: run 'netstat -tlnp | grep -E "800[0-9]"' or 'ss -tlnp | grep -E "800[0-9]"'Affected if Triton API ports are accessible on network interfaces other than localhost
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Confirm shared memory configurationReview Triton model configuration files for shared memory settings, or check if /dev/shm is being used by Triton processes via 'ls -la /dev/shm/'Affected if Shared memory is configured and exposed via the network API
System is affected if Triton Inference Server version is >=20.10 and <24.04, and the shared memory API is network-accessible rather than restricted to localhost-only or disabled.
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 · scoped24.04
Apply the latest NVIDIA Triton Inference Server update/patch to address the shared memory API vulnerability. If immediate patching is not possible, restrict network access to the Triton server and review shared memory configurations to limit exposure.
24.04 or later
- 1. Backup current Triton Inference Server configuration and any custom models
- 2. Stop the Triton Inference Server service
- 3. Update the Triton Inference Server package to version 24.04 or later using the appropriate package manager or container image (e.g., nvcr.io/nvidia/tritonserver:24.04-py3)
- 4. Verify the new version is installed correctly by running 'tritonserver --version'
- 5. Review the migration guide for Triton Inference Server 24.04 for any configuration changes
- 6. Restart the Triton Inference Server service
- 7. Test that inference requests are processed correctly and shared memory functionality works as expected
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation4.0 h
- Implementation4.0 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-2024-0088 — 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-2024-0088 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
- No spam, self-promotion, credentials, or personal data