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CNVD-2021-87018

Vulnerability from cnvd - Published: 2021-11-12
VLAI
Title
IBM Sterling B2B Integrator信息泄露漏洞(CNVD-2021-87018)
Description
IBM Sterling B2B Integrator是美国IBM公司的一套集成了重要的B2B流程、交易和关系的软件。该软件支持与不同的合作伙伴社区之间实现复杂的B2B流程的安全集成。 IBM Sterling B2B Integrator Standard Edition 5.2.0.0 版本至6.1.0.3版本存在信息泄露漏洞,经过身份验证的攻击者可利用该漏洞从仪表板获取不被授权的敏感信息。
Severity
Patch Name
IBM Sterling B2B Integrator信息泄露漏洞(CNVD-2021-87018)的补丁
Patch Description
IBM Sterling B2B Integrator是美国IBM公司的一套集成了重要的B2B流程、交易和关系的软件。该软件支持与不同的合作伙伴社区之间实现复杂的B2B流程的安全集成。 IBM Sterling B2B Integrator Standard Edition 5.2.0.0 版本至6.1.0.3版本存在信息泄露漏洞,经过身份验证的攻击者可利用该漏洞从仪表板获取不被授权的敏感信息。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,补丁获取链接: https://www.ibm.com/support/pages/node/6495969

Reference
https://exchange.xforce.ibmcloud.com/vulnerabilities/202265
Impacted products
Name
IBM IBM Sterling B2B Integrator Standard Edition >=5.2.0.0,<=6.1.0.3
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-29761"
    }
  },
  "description": "IBM Sterling B2B Integrator\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u96c6\u6210\u4e86\u91cd\u8981\u7684B2B\u6d41\u7a0b\u3001\u4ea4\u6613\u548c\u5173\u7cfb\u7684\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u652f\u6301\u4e0e\u4e0d\u540c\u7684\u5408\u4f5c\u4f19\u4f34\u793e\u533a\u4e4b\u95f4\u5b9e\u73b0\u590d\u6742\u7684B2B\u6d41\u7a0b\u7684\u5b89\u5168\u96c6\u6210\u3002\n\nIBM Sterling B2B Integrator Standard Edition 5.2.0.0 \u7248\u672c\u81f36.1.0.3\u7248\u672c\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ece\u4eea\u8868\u677f\u83b7\u53d6\u4e0d\u88ab\u6388\u6743\u7684\u654f\u611f\u4fe1\u606f\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://www.ibm.com/support/pages/node/6495969",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-87018",
  "openTime": "2021-11-12",
  "patchDescription": "IBM Sterling B2B Integrator\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u96c6\u6210\u4e86\u91cd\u8981\u7684B2B\u6d41\u7a0b\u3001\u4ea4\u6613\u548c\u5173\u7cfb\u7684\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u652f\u6301\u4e0e\u4e0d\u540c\u7684\u5408\u4f5c\u4f19\u4f34\u793e\u533a\u4e4b\u95f4\u5b9e\u73b0\u590d\u6742\u7684B2B\u6d41\u7a0b\u7684\u5b89\u5168\u96c6\u6210\u3002\r\n\r\nIBM Sterling B2B Integrator Standard Edition 5.2.0.0 \u7248\u672c\u81f36.1.0.3\u7248\u672c\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ece\u4eea\u8868\u677f\u83b7\u53d6\u4e0d\u88ab\u6388\u6743\u7684\u654f\u611f\u4fe1\u606f\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\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2021-87018\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "IBM IBM Sterling B2B Integrator Standard Edition \u003e=5.2.0.0\uff0c\u003c=6.1.0.3"
  },
  "referenceLink": "https://exchange.xforce.ibmcloud.com/vulnerabilities/202265",
  "serverity": "\u4e2d",
  "submitTime": "2021-10-12",
  "title": "IBM Sterling B2B Integrator\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2021-87018\uff09"
}



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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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