Triton Inference ServerApplication · Nvidia

CVE-2024-0116

MEDIUM · 6.5 CVSS v3.1 Published 2024-10-01
Fix available
A fix is available. Upgrade to 24.09 or later.
See remediation →
71/100
Remediation priority · Elevated
Remotely reachable Zero-click

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 · unedited
NVIDIA Triton Inference Server contains a vulnerability where a user may cause an out-of-bounds read issue by releasing a shared memory region while it is in use. A successful exploit of this vulnerability may 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 confidence

NVIDIA Triton Inference Server has a race condition vulnerability in shared memory management where a user can release a shared memory region while it's still in use, causing an out-of-bounds read. This use-after-free pattern in shared memory handling leads to denial of service.

MitigationImplement proper reference counting or locking around shared memory lifecycle management to prevent premature release. Ensure all ongoing operations complete before shared memory cleanup.

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
Triton Inference ServerApplication
Affected:>= 19.11, < 24.09

CVSS 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
None
Availability
High

CVSS:3.1/AV:N/AC:L/PR:L/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 checks

Work through these to decide whether this CVE applies to you.

  1. Identify Triton Inference Server installation
    Run 'triton-server --version' or check installed packages with 'pip show triton-inference-server' or 'dpkg -l | grep triton'
    Affected if Triton Inference Server is installed and responds to version query
  2. Confirm installed version against affected range
    Compare the returned version number to the affected range: >= 19.11 and < 24.09
    Affected if The installed version falls within 19.11 to 24.08 inclusive (any version >= 19.11 but earlier than 24.09)
  3. Verify shared memory is in use
    Check for active shared memory segments with 'ipcs -m' or examine Triton configuration files for shared memory settings
    Affected if Shared memory regions are allocated or configured for Triton Inference Server
  4. Confirm Triton service is running
    Check running processes with 'ps aux | grep triton' or 'systemctl status triton-server'
    Affected if The Triton Inference Server process is actively running and handling inference requests

You are affected if Triton Inference Server version is between 19.11 and 24.08 inclusive and the server is actively running with shared memory in use.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

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 · scoped
Upgrade available Upgrade to 24.09 or later
Fixed in 24.09
Interim mitigation

Implement proper reference counting or locking around shared memory lifecycle management to prevent premature release. Ensure all ongoing operations complete before shared memory cleanup.

Recommended fix High confidence

24.09

  1. Upgrade NVIDIA Triton Inference Server to version 24.09 or later to resolve the out-of-bounds read vulnerability in shared memory handling

Generated from the published advisory — verify against the referenced sources before acting.

Fix this in Triton Inference Server Scoped from the published advisory
  • Consultation4.0 h
  • Implementation12.0 h
  • Testing6.0 h
  • Review / QA4.0 h
26.0 hours of engineering $4,580
Get the upgrade done

An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $7,328.

Scan for this in your stack

Free · runs locally
dbcve dependency scanner

Check whether your project pulls in CVE-2024-0116 — 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 sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2024-0116 in production — separate from our analysis above.

No notes yet

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What this is

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.

What belongs here
  • 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