CNVD-2021-02006

Vulnerability from cnvd - Published: 2021-01-11
VLAI
Title
IBM Sterling B2B Integrator权限提升漏洞
Description
IBM Sterling B2B Integrator是一个交易引擎,是一套根据您的业务需求运行您定义和管理的流程的组件。 IBM Sterling B2B Integrator 5.2.0.0 - 5.2.6.5_2、6.0.0.0 - 6.0.3.2、6.1.0.0存在权限提升漏洞。该漏洞源于访问控制不当。攻击者可利用该漏洞创建高权限帐户,从而可提升权限。
Severity
Patch Name
IBM Sterling B2B Integrator权限提升漏洞的补丁
Patch Description
IBM Sterling B2B Integrator是一个交易引擎,是一套根据您的业务需求运行您定义和管理的流程的组件。 IBM Sterling B2B Integrator 5.2.0.0 - 5.2.6.5_2、6.0.0.0 - 6.0.3.2、6.1.0.0存在权限提升漏洞。该漏洞源于访问控制不当。攻击者可利用该漏洞创建高权限帐户,从而可提升权限。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/6396130

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-4762
Impacted products
Name
['IBM IBM Sterling B2B Integrator Standard Edition >=6.0.0.0,<=6.0.3.2', 'IBM IBM Sterling B2B Integrator Standard Edition >=5.2.0.0,<=5.2.6.5_2', 'IBM IBM Sterling B2B Integrator Standard Edition 6.1.0.0']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-4762",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-4762"
    }
  },
  "description": "IBM Sterling B2B Integrator\u662f\u4e00\u4e2a\u4ea4\u6613\u5f15\u64ce\uff0c\u662f\u4e00\u5957\u6839\u636e\u60a8\u7684\u4e1a\u52a1\u9700\u6c42\u8fd0\u884c\u60a8\u5b9a\u4e49\u548c\u7ba1\u7406\u7684\u6d41\u7a0b\u7684\u7ec4\u4ef6\u3002\n\nIBM Sterling B2B Integrator 5.2.0.0 - 5.2.6.5_2\u30016.0.0.0 - 6.0.3.2\u30016.1.0.0\u5b58\u5728\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8bbf\u95ee\u63a7\u5236\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u521b\u5efa\u9ad8\u6743\u9650\u5e10\u6237\uff0c\u4ece\u800c\u53ef\u63d0\u5347\u6743\u9650\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/6396130",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-02006",
  "openTime": "2021-01-11",
  "patchDescription": "IBM Sterling B2B Integrator\u662f\u4e00\u4e2a\u4ea4\u6613\u5f15\u64ce\uff0c\u662f\u4e00\u5957\u6839\u636e\u60a8\u7684\u4e1a\u52a1\u9700\u6c42\u8fd0\u884c\u60a8\u5b9a\u4e49\u548c\u7ba1\u7406\u7684\u6d41\u7a0b\u7684\u7ec4\u4ef6\u3002\r\n\r\nIBM Sterling B2B Integrator 5.2.0.0 - 5.2.6.5_2\u30016.0.0.0 - 6.0.3.2\u30016.1.0.0\u5b58\u5728\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8bbf\u95ee\u63a7\u5236\u4e0d\u5f53\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u521b\u5efa\u9ad8\u6743\u9650\u5e10\u6237\uff0c\u4ece\u800c\u53ef\u63d0\u5347\u6743\u9650\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 Sterling B2B Integrator\u6743\u9650\u63d0\u5347\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "IBM IBM Sterling B2B Integrator Standard Edition \u003e=6.0.0.0\uff0c\u003c=6.0.3.2",
      "IBM IBM Sterling B2B Integrator Standard Edition \u003e=5.2.0.0\uff0c\u003c=5.2.6.5_2",
      "IBM IBM Sterling B2B Integrator Standard Edition 6.1.0.0"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-4762",
  "serverity": "\u4e2d",
  "submitTime": "2021-01-06",
  "title": "IBM Sterling B2B Integrator\u6743\u9650\u63d0\u5347\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

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Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
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  • 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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