CVE-2026-24259
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 TensorRT-LLM for Linux contains a vulnerability where an attacker could cause missing authentication for a critical function. A successful exploit of this vulnerability might lead to code execution, data tampering, and information disclosure.
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 TensorRT-LLM for Linux contains a missing authentication vulnerability in a critical function that allows unauthenticated attackers to access sensitive operations. This authentication bypass could enable remote attackers to execute code, tamper with data, or access confidential information without proper credentials.
Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.
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
- Local
- Complexity
- High
- Privileges
- High
- User interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:L/AC:H/PR:H/UI:N/S:U/C:H/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 if NVIDIA TensorRT-LLM is installedRun 'pip list | grep tensorrt' or check for /opt/nvidia/tensorrtllm directory, or use 'dpkg -l | grep tensorrt' or 'rpm -qa | grep tensorrt' depending on package managerAffected if TensorRT-LLM is installed on the system
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Determine installed TensorRT-LLM versionRun 'pip show tensorrt-llm' or check the version in the installed package metadata. Compare against any version numbers provided by NVIDIA security advisories.Affected if Installed version falls within any affected version range disclosed by NVIDIA
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Check if TensorRT-LLM service is network accessibleReview firewall rules ('iptables -L' or 'ufw status'), listening services ('netstat -tulpn' or 'ss -tulpn'), and Kubernetes network policies for any TensorRT-LLM related ports or services exposed to untrusted networksAffected if TensorRT-LLM service ports are accessible from untrusted network segments or the internet
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Verify authentication configuration for TensorRT-LLM endpointsExamine TensorRT-LLM configuration files, environment variables, and any API/server configuration for authentication enforcement settings. Check for --auth, --authentication, or similar flags in service startup scripts.Affected if No authentication is enforced or authentication is explicitly disabled in the configuration
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Review TensorRT-LLM API service logs for unauthorized access attemptsCheck TensorRT-LLM service logs for authentication failures, unusual access patterns, or requests from unknown sources that may indicate exploitation attemptsAffected if Logs show successful unauthenticated access or suspicious unauthenticated requests to critical functions
A system is affected if TensorRT-LLM is installed and running with network accessibility while lacking proper authentication controls for critical functions.
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.
From vendor dataApply NVIDIA's patch when available; restrict network access to TensorRT-LLM services via firewall rules and network segmentation to reduce attack surface until the vulnerability is remediated.
- Consultation8.0 h
- Implementation16.0 h
- Testing12.0 h
- Review / QA6.0 h
An estimate, not a bill — we confirm scope with you before any work starts. Need it this week? Rush from $11,776.
Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2026-24259 — 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-2026-24259 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