Vulnerability-Lookup

CNVD-2025-19552

Vulnerability from cnvd - Published: 2025-08-22

Title

NVIDIA Triton Inference Server栈溢出漏洞

Description

Triton Inference Server是NVIDIA开发的一款高性能推理服务引擎，专为生产环境中的AI模型部署设计，支持多种框架（TensorFlow、PyTorch、ONNX 等），并优化了GPU和CPU的推理性能。 NVIDIA Triton Inference Server存在栈溢出漏洞，该漏洞源于内存缓冲区操作限制不当，远程攻击者可利用该漏洞提交特殊的请求，可使应用程序崩溃或者可以应用程序上下文执行任意代码。

Severity

高

Patch Name

NVIDIA Triton Inference Server栈溢出漏洞的补丁

Patch Description

Formal description

目前厂商已经发布了升级补丁以修复这个安全问题，请到厂商的主页下载: https://github.com/triton-inference-server/server/releases

Reference

https://nvidia.custhelp.com/app/answers/detail/a_id/5687

Impacted products

Name
NVIDIA Triton Inference Server <25.07

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2025-23310",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-23310"
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  "number": "CNVD-2025-19552",
  "openTime": "2025-08-22",
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  "serverity": "\u9ad8",
  "submitTime": "2025-08-13",
  "title": "NVIDIA Triton Inference Server\u6808\u6ea2\u51fa\u6f0f\u6d1e"
}

CVE-2025-23310 (GCVE-0-2025-23310)

Vulnerability from cvelistv5 – Published: 2025-08-06 12:18 – Updated: 2025-08-06 13:01

Summary

NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where an attacker could cause stack buffer overflow by specially crafted inputs. A successful exploit of this vulnerability might lead to remote code execution, denial of service, information disclosure, and data tampering.

Severity

9.8 (Critical)


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

SSVC

Exploitation: none Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-08-06 13:01 UTC

CWE

CWE-121 - Stack-based Buffer Overflow

Assigner

nvidia mitre root

References

3 references

URL	Tags
https://nvd.nist.gov/vuln/detail/CVE-2025-23310
https://www.cve.org/CVERecord?id=CVE-2025-23310
https://nvidia.custhelp.com/app/answers/detail/a_…

Impacted products

1 product

Vendor	Product	Version
NVIDIA	Triton Inference Server	Affected: All versions prior to 25.07

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.