Unauthenticated server crash via excessive output allocation
Published Apr 7, 2026 · Updated Apr 7, 2026
Excessive memory allocation in NVIDIA Triton Inference Server before r26.02 allows remote attackers to crash the server via many outputs. NVIDIA has not disclosed the affected function or request field; its bulletin states that output-count validation permits excessive memory allocation. No authentication or user interaction is required; a network request can terminate inference service without reported data disclosure or modification.
Summary
What happened
Excessive memory allocation in NVIDIA Triton Inference Server before r26.02 allows remote attackers to crash the server via many outputs. NVIDIA has not disclosed the affected function or request field; its bulletin states that output-count validation permits excessive memory allocation. No authentication or user interaction is required; a network request can terminate inference service without reported data disclosure or modification.
The record
- CVE
- CVE-2026-24146
- Published
- Apr 7, 2026
- Updated
- Apr 7, 2026
- Vendor
- DPDK Project
- Product
- Triton Inference Server
- Classifications
- CWE-789, T1499
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Apr 7, 2026CVE publishedPublication date reported by the CVE source.
- Apr 7, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
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- Affected versionversion=All versions prior to r26.02
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
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Weakness, pattern, technique
Public exploit references
No public exploit references are available in this record.
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Technologies
Your stack
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Your stack
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