Data disclosure and tampering via tensor deserialization overflow
Published Jul 14, 2026 · Updated Jul 14, 2026
Heap-based buffer overflow in NVIDIA TensorRT-LLM 1.3.0rc16 and earlier allows attackers to corrupt memory during tensor deserialization. NVIDIA has not disclosed the deserialization routine or malformed tensor field whose bounds are mishandled. Exploitation requires adjacent-network access, no privileges, and high-complexity conditions; success can disclose or alter data or interrupt the service.
Summary
What happened
Heap-based buffer overflow in NVIDIA TensorRT-LLM 1.3.0rc16 and earlier allows attackers to corrupt memory during tensor deserialization. NVIDIA has not disclosed the deserialization routine or malformed tensor field whose bounds are mishandled. Exploitation requires adjacent-network access, no privileges, and high-complexity conditions; success can disclose or alter data or interrupt the service.
The record
- CVE
- CVE-2026-47471
- Published
- Jul 14, 2026
- Updated
- Jul 14, 2026
- Vendor
- DPDK Project
- Product
- TensorRT-LLM
- Classifications
- CWE-122
- Attack vector
- adjacent
- Privileges
- unauthenticated
Timeline
How it unfolded
- Jul 14, 2026CVE publishedPublication date reported by the CVE source.
- Jul 14, 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?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=0.0 <=v1.3.0 rc16
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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