CNVD-2026-12370

Vulnerability from cnvd - Published: 2026-03-03
VLAI
Title
NVIDIA Isaac Launchable信任管理问题漏洞
Description
NVIDIA Isaac Launchable是一款旨在简化AI开发流程、加速实验和部署的一键式部署GPU开发环境。 NVIDIA Isaac Launchable存在信任管理问题漏洞,该漏洞源于凭据保护不当,远程攻击者可利用该漏洞执行任意代码、提升权限、数据篡改等。
Severity
Patch Name
NVIDIA Isaac Launchable信任管理问题漏洞的补丁
Patch Description
NVIDIA Isaac Launchable是一款旨在简化AI开发流程、加速实验和部署的一键式部署GPU开发环境。 NVIDIA Isaac Launchable存在信任管理问题漏洞,该漏洞源于凭据保护不当,远程攻击者可利用该漏洞执行任意代码、提升权限、数据篡改等。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://nvidia.custhelp.com/app/answers/detail/a_id/5749

Reference
https://nvd.nist.gov/vuln/detail/CVE-2025-33222
Impacted products
Name
NVIDIA Isaac Launchable 1.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-33222",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-33222"
    }
  },
  "description": "NVIDIA Isaac Launchable\u662f\u4e00\u6b3e\u65e8\u5728\u7b80\u5316AI\u5f00\u53d1\u6d41\u7a0b\u3001\u52a0\u901f\u5b9e\u9a8c\u548c\u90e8\u7f72\u7684\u4e00\u952e\u5f0f\u90e8\u7f72GPU\u5f00\u53d1\u73af\u5883\u3002\n\nNVIDIA Isaac Launchable\u5b58\u5728\u4fe1\u4efb\u7ba1\u7406\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u51ed\u636e\u4fdd\u62a4\u4e0d\u5f53\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3001\u63d0\u5347\u6743\u9650\u3001\u6570\u636e\u7be1\u6539\u7b49\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d:\r\nhttps://nvidia.custhelp.com/app/answers/detail/a_id/5749",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2026-12370",
  "openTime": "2026-03-03",
  "patchDescription": "NVIDIA Isaac Launchable\u662f\u4e00\u6b3e\u65e8\u5728\u7b80\u5316AI\u5f00\u53d1\u6d41\u7a0b\u3001\u52a0\u901f\u5b9e\u9a8c\u548c\u90e8\u7f72\u7684\u4e00\u952e\u5f0f\u90e8\u7f72GPU\u5f00\u53d1\u73af\u5883\u3002\r\n\r\nNVIDIA Isaac Launchable\u5b58\u5728\u4fe1\u4efb\u7ba1\u7406\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u51ed\u636e\u4fdd\u62a4\u4e0d\u5f53\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3001\u63d0\u5347\u6743\u9650\u3001\u6570\u636e\u7be1\u6539\u7b49\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 Isaac Launchable\u4fe1\u4efb\u7ba1\u7406\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "NVIDIA Isaac Launchable 1.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2025-33222",
  "serverity": "\u9ad8",
  "submitTime": "2025-12-29",
  "title": "NVIDIA Isaac Launchable\u4fe1\u4efb\u7ba1\u7406\u95ee\u9898\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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