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CNVD-2022-08970

Vulnerability from cnvd - Published: 2022-02-09
VLAI
Title
IBM Spectrum Copy Data Management未授权访问漏洞
Description
IBM Spectrum Copy Data Management是美国国际商业机器公司(IBM)的实现数据中心副本管理流程的现代化、简化和自动化。 IBM Spectrum Copy Data Management存在安全漏洞,攻击者可利用该漏洞在未经授权的情况下访问Spring Boot控制台。
Severity
Patch Name
IBM Spectrum Copy Data Management未授权访问漏洞的补丁
Patch Description
IBM Spectrum Copy Data Management是美国国际商业机器公司(IBM)的实现数据中心副本管理流程的现代化、简化和自动化。 IBM Spectrum Copy Data Management存在安全漏洞,攻击者可利用该漏洞在未经授权的情况下访问Spring Boot控制台。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

目前厂商已发布升级补丁以修复漏洞,详情请关注厂商主页: https://www.ibm.com/support/pages/node/6525554

Reference
https://www.ibm.com/support/pages/node/6525554
Impacted products
Name
IBM Spectrum Copy Data Management <=2.2.13
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-39052",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-39052"
    }
  },
  "description": "IBM Spectrum Copy Data Management\u662f\u7f8e\u56fd\u56fd\u9645\u5546\u4e1a\u673a\u5668\u516c\u53f8\uff08IBM\uff09\u7684\u5b9e\u73b0\u6570\u636e\u4e2d\u5fc3\u526f\u672c\u7ba1\u7406\u6d41\u7a0b\u7684\u73b0\u4ee3\u5316\u3001\u7b80\u5316\u548c\u81ea\u52a8\u5316\u3002\n\nIBM Spectrum Copy Data Management\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u672a\u7ecf\u6388\u6743\u7684\u60c5\u51b5\u4e0b\u8bbf\u95eeSpring Boot\u63a7\u5236\u53f0\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttps://www.ibm.com/support/pages/node/6525554",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-08970",
  "openTime": "2022-02-09",
  "patchDescription": "IBM Spectrum Copy Data Management\u662f\u7f8e\u56fd\u56fd\u9645\u5546\u4e1a\u673a\u5668\u516c\u53f8\uff08IBM\uff09\u7684\u5b9e\u73b0\u6570\u636e\u4e2d\u5fc3\u526f\u672c\u7ba1\u7406\u6d41\u7a0b\u7684\u73b0\u4ee3\u5316\u3001\u7b80\u5316\u548c\u81ea\u52a8\u5316\u3002\r\n\r\nIBM Spectrum Copy Data Management\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u672a\u7ecf\u6388\u6743\u7684\u60c5\u51b5\u4e0b\u8bbf\u95eeSpring Boot\u63a7\u5236\u53f0\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 Copy Data Management\u672a\u6388\u6743\u8bbf\u95ee\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM Spectrum Copy Data Management \u003c=2.2.13"
  },
  "referenceLink": "https://www.ibm.com/support/pages/node/6525554",
  "serverity": "\u9ad8",
  "submitTime": "2021-12-16",
  "title": "IBM Spectrum Copy Data Management\u672a\u6388\u6743\u8bbf\u95ee\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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Detection rules are retrieved from Rulezet.

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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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