Vulnerability-Lookup

CNVD-2026-21556

Vulnerability from cnvd - Published: 2026-05-22

Title

NVIDIA TensorRT越界写入漏洞

Description

NVIDIA TensorRT是一款用于高性能深度学习推理的软件开发工具包（SDK），主要功能是优化神经网络模型以在NVIDIA GPU上高效运行。 NVIDIA TensorRT存在越界写入漏洞。该漏洞产生的原因是未能正确处理输入数据，攻击者可利用该漏洞通过精心构造的数据触发越界写入，导致数据篡改。

Severity

高

Patch Name

NVIDIA TensorRT越界写入漏洞的补丁

Patch Description

NVIDIA TensorRT是一款用于高性能深度学习推理的软件开发工具包（SDK），主要功能是优化神经网络模型以在NVIDIA GPU上高效运行。 NVIDIA TensorRT存在越界写入漏洞。该漏洞产生的原因是未能正确处理输入数据，攻击者可利用该漏洞通过精心构造的数据触发越界写入，导致数据篡改。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://nvd.nist.gov/vuln/detail/CVE-2026-24188

Reference

https://nvidia.custhelp.com/app/answers/detail/a_id/5836

Impacted products

Name
NVIDIA TensorRT

Show details on source website

JSON

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      "cveNumber": "CVE-2026-24188",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2026-24188"
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  "number": "CNVD-2026-21556",
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}

CVE-2026-24188 (GCVE-0-2026-24188)

Vulnerability from cvelistv5 – Published: 2026-05-20 17:41 – Updated: 2026-05-20 19:33

Summary

NVIDIA TensorRT contains a vulnerability where an attacker could cause an out-of-bounds write. A successful exploit of this vulnerability might lead to data tampering.

Severity

8.2 (High)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:L

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-05-20 19:32 UTC

CWE

CWE-787 - Out-of-bounds Write

Assigner

nvidia mitre root

References

3 references

URL	Tags
https://nvd.nist.gov/vuln/detail/CVE-2026-24188
https://www.cve.org/CVERecord?id=CVE-2026-24188
https://nvidia.custhelp.com/app/answers/detail/a_…

Impacted products

1 product

Vendor	Product	Version
NVIDIA	TensorRT	Affected: 0 , < v10.16.1 (custom)

Show details on NVD website

JSON

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Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.