CVE-2026-24151
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 Megatron-LM contains a vulnerability in inferencing where an Attacker may cause an RCE by convincing a user to load a maliciously crafted input. A successful exploit of this vulnerability may lead to code execution, escalation of privileges, information disclosure, 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 Megatron-LM contains a vulnerability in its inference pipeline where a maliciously crafted input can trigger remote code execution. The attack vector involves convincing a user to load a crafted input, likely through unsafe deserialization or similar mechanisms that allow code execution during model inference.
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< 0.15.3CVSS 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
- Low
- Privileges
- None
- User interaction
- Required
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/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 installed Megatron-LM versionRun 'pip show megatron-lm' or check your package requirements file for the installed version numberAffected if The installed version is below 0.15.3
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Confirm inference pipeline is in useVerify that your deployment uses Megatron-LM for inference tasks, either as an API endpoint, model server, or batch inference jobAffected if Inference pipeline is actively used for processing model inputs
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Check for external input acceptanceReview your inference service configuration to determine if it accepts inputs from untrusted sources or external usersAffected if The inference endpoint accepts requests from users or systems outside your trusted environment
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Audit inference code for unsafe deserializationSearch inference-related source files for patterns like pickle.load, torch.load with weights_only=False, or similar deserialization methods that do not restrict object typesAffected if Unsafe deserialization methods are used to process inference inputs without strict type checking
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Review input validation for inferenceInspect the inference input handling code to determine if custom validation, schema enforcement, or input sanitization is performed before deserializationAffected if No input validation or sanitization is applied to inference inputs prior to processing
If running Megatron-LM version below 0.15.3 and using the inference pipeline to process untrusted external inputs without strict validation, the environment is likely affected by this vulnerability.
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 · scoped0.15.3
Implement strict input validation and sanitization for all inference inputs. Replace unsafe deserialization methods with secure alternatives, and consider sandboxing inference workloads to limit the impact of compromised inputs.
0.15.3
- Upgrade Megatron-LM to version 0.15.3 or later using your package manager (e.g., pip install megatron-lm==0.15.3 or conda install megatron-lm=0.15.3)
- Verify the installed version matches or exceeds 0.15.3 using pip show or conda list
- Ensure any production inference pipelines or model loading scripts reference the updated version before processing untrusted inputs
Generated from the published advisory — verify against the referenced sources before acting.
- Consultation6.0 h
- Implementation12.0 h
- Testing10.0 h
- Review / QA6.0 h
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Scan for this in your stack
Free · runs locallyCheck whether your project pulls in CVE-2026-24151 — 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-2026-24151 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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- Version or environment caveats, and links to real fixes
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