CNVD-2021-28369

Vulnerability from cnvd - Published: 2021-04-15
VLAI
Title
IBM Spectrum Scale文件系统审核日志记录绕过漏洞
Description
IBM Spectrum Scale是一种高性能共享磁盘文件管理解决方案,可让您快速、可靠地访问来自多个服务器的数据。 IBM Spectrum Scale 5.1.0.1版本存在文件系统审核日志记录绕过漏洞。本地攻击者可利用该漏洞绕过文件系统审核日志记录机制。
Severity
低
Patch Name
IBM Spectrum Scale文件系统审核日志记录绕过漏洞的补丁
Patch Description
IBM Spectrum Scale是一种高性能共享磁盘文件管理解决方案,可让您快速、可靠地访问来自多个服务器的数据。 IBM Spectrum Scale 5.1.0.1版本存在文件系统审核日志记录绕过漏洞。本地攻击者可利用该漏洞绕过文件系统审核日志记录机制。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://www.ibm.com/support/pages/node/6441429

Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-29671
Impacted products
Name
IBM Spectrum Scale 5.1.0.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-29671",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-29671"
    }
  },
  "description": "IBM Spectrum Scale\u662f\u4e00\u79cd\u9ad8\u6027\u80fd\u5171\u4eab\u78c1\u76d8\u6587\u4ef6\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\uff0c\u53ef\u8ba9\u60a8\u5feb\u901f\u3001\u53ef\u9760\u5730\u8bbf\u95ee\u6765\u81ea\u591a\u4e2a\u670d\u52a1\u5668\u7684\u6570\u636e\u3002\n\nIBM Spectrum Scale 5.1.0.1\u7248\u672c\u5b58\u5728\u6587\u4ef6\u7cfb\u7edf\u5ba1\u6838\u65e5\u5fd7\u8bb0\u5f55\u7ed5\u8fc7\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u6587\u4ef6\u7cfb\u7edf\u5ba1\u6838\u65e5\u5fd7\u8bb0\u5f55\u673a\u5236\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1ahttps://www.ibm.com/support/pages/node/6441429",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-28369",
  "openTime": "2021-04-15",
  "patchDescription": "IBM Spectrum Scale\u662f\u4e00\u79cd\u9ad8\u6027\u80fd\u5171\u4eab\u78c1\u76d8\u6587\u4ef6\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\uff0c\u53ef\u8ba9\u60a8\u5feb\u901f\u3001\u53ef\u9760\u5730\u8bbf\u95ee\u6765\u81ea\u591a\u4e2a\u670d\u52a1\u5668\u7684\u6570\u636e\u3002\r\n\r\nIBM Spectrum Scale 5.1.0.1\u7248\u672c\u5b58\u5728\u6587\u4ef6\u7cfb\u7edf\u5ba1\u6838\u65e5\u5fd7\u8bb0\u5f55\u7ed5\u8fc7\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u6587\u4ef6\u7cfb\u7edf\u5ba1\u6838\u65e5\u5fd7\u8bb0\u5f55\u673a\u5236\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": "IBM Spectrum Scale\u6587\u4ef6\u7cfb\u7edf\u5ba1\u6838\u65e5\u5fd7\u8bb0\u5f55\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM Spectrum Scale 5.1.0.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-29671",
  "serverity": "\u4f4e",
  "submitTime": "2021-04-12",
  "title": "IBM Spectrum Scale\u6587\u4ef6\u7cfb\u7edf\u5ba1\u6838\u65e5\u5fd7\u8bb0\u5f55\u7ed5\u8fc7\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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