CNVD-2025-23258

Vulnerability from cnvd - Published: 2025-10-10
VLAI
Title
NVIDIA Cumulus Linux和NVIDIA NVOS日志信息泄露漏洞
Description
NVIDIA Cumulus Linux是一款开放式网络操作系统。NVIDIA NVOS是一款操作系统。 NVIDIA Cumulus Linux和NVIDIA NVOS存在日志信息泄露漏洞,该漏洞源于日志文件中未正确隐藏哈希密码,攻击者可利用该漏洞导致信息泄露。
Severity
中
Patch Name
NVIDIA Cumulus Linux和NVIDIA NVOS日志信息泄露漏洞的补丁
Patch Description
NVIDIA Cumulus Linux是一款开放式网络操作系统。NVIDIA NVOS是一款操作系统。 NVIDIA Cumulus Linux和NVIDIA NVOS存在日志信息泄露漏洞,该漏洞源于日志文件中未正确隐藏哈希密码,攻击者可利用该漏洞导致信息泄露。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://nvidia.custhelp.com/app/answers/detail/a_id/5655

Reference
https://nvd.nist.gov/vuln/detail/CVE-2025-23261
Impacted products
Name
['NVIDIA NVOS 25.02.21xx', 'NVIDIA NVOS 25.02.22xx', 'NVIDIA NVOS 25.02.23xx', 'NVIDIA NVOS 25.02.3xxx']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-23261",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-23261"
    }
  },
  "description": "NVIDIA Cumulus Linux\u662f\u4e00\u6b3e\u5f00\u653e\u5f0f\u7f51\u7edc\u64cd\u4f5c\u7cfb\u7edf\u3002NVIDIA NVOS\u662f\u4e00\u6b3e\u64cd\u4f5c\u7cfb\u7edf\u3002\n\nNVIDIA Cumulus Linux\u548cNVIDIA NVOS\u5b58\u5728\u65e5\u5fd7\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u65e5\u5fd7\u6587\u4ef6\u4e2d\u672a\u6b63\u786e\u9690\u85cf\u54c8\u5e0c\u5bc6\u7801\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u4fe1\u606f\u6cc4\u9732\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://nvidia.custhelp.com/app/answers/detail/a_id/5655",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-23258",
  "openTime": "2025-10-10",
  "patchDescription": "NVIDIA Cumulus Linux\u662f\u4e00\u6b3e\u5f00\u653e\u5f0f\u7f51\u7edc\u64cd\u4f5c\u7cfb\u7edf\u3002NVIDIA NVOS\u662f\u4e00\u6b3e\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nNVIDIA Cumulus Linux\u548cNVIDIA NVOS\u5b58\u5728\u65e5\u5fd7\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u65e5\u5fd7\u6587\u4ef6\u4e2d\u672a\u6b63\u786e\u9690\u85cf\u54c8\u5e0c\u5bc6\u7801\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u4fe1\u606f\u6cc4\u9732\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 Cumulus Linux\u548cNVIDIA NVOS\u65e5\u5fd7\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "NVIDIA NVOS 25.02.21xx",
      "NVIDIA NVOS  25.02.22xx",
      "NVIDIA NVOS  25.02.23xx",
      "NVIDIA NVOS 25.02.3xxx"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-23261",
  "serverity": "\u4e2d",
  "submitTime": "2025-09-08",
  "title": "NVIDIA Cumulus Linux\u548cNVIDIA NVOS\u65e5\u5fd7\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

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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.


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