CVE-2026-47471: CWE-122 Heap-based Buffer Overflow in NVIDIA TensorRT-LLM
NVIDIA TensorRT-LLM contains a heap-based buffer overflow vulnerability in its tensor deserialization functionality. Exploitation of this flaw could allow an attacker to cause information disclosure, data tampering, or denial of service. The vulnerability is identified as CVE-2026-47471 and has a high severity rating with a CVSS score of 7.5. No official patch or remediation guidance is currently available from the vendor.
AI Analysis
Technical Summary
CVE-2026-47471 is a heap-based buffer overflow vulnerability in NVIDIA TensorRT-LLM affecting tensor deserialization on any platform. This vulnerability could be exploited by an attacker to cause information disclosure, data tampering, or denial of service conditions. The CVSS 3.1 vector indicates the attack requires adjacent network access with high attack complexity and no privileges or user interaction needed. The vulnerability is classified under CWE-122. As of the published date, no official fix or patch has been released by NVIDIA.
Potential Impact
Successful exploitation of this vulnerability may lead to high impact outcomes including unauthorized disclosure of sensitive information, unauthorized modification of data, and denial of service against the affected system running TensorRT-LLM. The CVSS score of 7.5 reflects the significant confidentiality, integrity, and availability impacts.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no official fix or patch is currently available, users should monitor NVIDIA's advisories for updates. Until a patch is released, consider limiting access to systems running TensorRT-LLM to trusted networks and users to reduce exposure.
CVE-2026-47471: CWE-122 Heap-based Buffer Overflow in NVIDIA TensorRT-LLM
Description
NVIDIA TensorRT-LLM contains a heap-based buffer overflow vulnerability in its tensor deserialization functionality. Exploitation of this flaw could allow an attacker to cause information disclosure, data tampering, or denial of service. The vulnerability is identified as CVE-2026-47471 and has a high severity rating with a CVSS score of 7.5. No official patch or remediation guidance is currently available from the vendor.
CVSS v3.1
Score 7.5high
Affected software
pkg:github/nvidia/TensorRT-LLMRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-47471 is a heap-based buffer overflow vulnerability in NVIDIA TensorRT-LLM affecting tensor deserialization on any platform. This vulnerability could be exploited by an attacker to cause information disclosure, data tampering, or denial of service conditions. The CVSS 3.1 vector indicates the attack requires adjacent network access with high attack complexity and no privileges or user interaction needed. The vulnerability is classified under CWE-122. As of the published date, no official fix or patch has been released by NVIDIA.
Potential Impact
Successful exploitation of this vulnerability may lead to high impact outcomes including unauthorized disclosure of sensitive information, unauthorized modification of data, and denial of service against the affected system running TensorRT-LLM. The CVSS score of 7.5 reflects the significant confidentiality, integrity, and availability impacts.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Since no official fix or patch is currently available, users should monitor NVIDIA's advisories for updates. Until a patch is released, consider limiting access to systems running TensorRT-LLM to trusted networks and users to reduce exposure.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- nvidia
- Date Reserved
- 2026-05-19T19:55:38.727Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a569d1c68715ace432809f2
Added to database: 07/14/2026, 20:33:32 UTC
Last enriched: 07/21/2026, 22:35:45 UTC
Last updated: 08/29/2026, 22:52:12 UTC
Views: 102
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.