Vulnerability-Lookup

CNVD-2025-19535

Vulnerability from cnvd - Published: 2025-08-21

Title

NVIDIA NeMo library路径遍历漏洞

Description

NVIDIA NeMo library是美国英伟达（NVIDIA）公司的一个深度学习工具库。 NVIDIA NeMo library存在路径遍历漏洞，该漏洞源于模型加载组件，攻击者可利用该漏洞通过访问受限目录之外的位置获取敏感文件。

Severity

中

Patch Name

NVIDIA NeMo library路径遍历漏洞的补丁

Patch Description

NVIDIA NeMo library是美国英伟达（NVIDIA）公司的一个深度学习工具库。 NVIDIA NeMo library存在路径遍历漏洞，该漏洞源于模型加载组件，攻击者可利用该漏洞通过访问受限目录之外的位置获取敏感文件。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

目前没有详细的解决方案提供： https://www.cve.org/CVERecord?id=CVE-2025-23304

Reference

https://nvd.nist.gov/vuln/detail/CVE-2025-23304

Impacted products

Name
NVIDIA NeMo library

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2025-23304",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-23304"
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  "number": "CNVD-2025-19535",
  "openTime": "2025-08-21",
  "patchDescription": "NVIDIA NeMo library\u662f\u7f8e\u56fd\u82f1\u4f1f\u8fbe\uff08NVIDIA\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u6df1\u5ea6\u5b66\u4e60\u5de5\u5177\u5e93\u3002\r\n\r\nNVIDIA NeMo library\u5b58\u5728\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u6a21\u578b\u52a0\u8f7d\u7ec4\u4ef6\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u8bbf\u95ee\u53d7\u9650\u76ee\u5f55\u4e4b\u5916\u7684\u4f4d\u7f6e\u83b7\u53d6\u654f\u611f\u6587\u4ef6\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "NVIDIA NeMo library\u8def\u5f84\u904d\u5386\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
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  "serverity": "\u4e2d",
  "submitTime": "2025-08-21",
  "title": "NVIDIA NeMo library\u8def\u5f84\u904d\u5386\u6f0f\u6d1e"
}

CVE-2025-23304 (GCVE-0-2025-23304)

Vulnerability from cvelistv5 – Published: 2025-08-13 17:16 – Updated: 2026-02-26 17:48

Summary

NVIDIA NeMo library for all platforms contains a vulnerability in the model loading component, where an attacker could cause code injection by loading .nemo files with maliciously crafted metadata. A successful exploit of this vulnerability may lead to remote code execution and data tampering.

Severity

7.8 (High)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-08-15 03:55 UTC

CWE

CWE-22 - Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Assigner

nvidia mitre root

References

3 references

URL	Tags
https://nvd.nist.gov/vuln/detail/CVE-2025-23304
https://www.cve.org/CVERecord?id=CVE-2025-23304
https://nvidia.custhelp.com/app/answers/detail/a_…

Impacted products

1 product

Vendor	Product	Version
NVIDIA	NVIDIA NeMo Framework	Affected: All versions prior to 2.3.2

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.