CNVD-2022-91136

Vulnerability from cnvd - Published: 2022-12-26
VLAI
Title
IBM Engineering Requirements Quality Assistant输入验证错误漏洞
Description
IBM Engineering Requirements Quality Assistant是美国IBM公司的一款基于Watson AI用于辅助开发人员提高工程需求质量的软件。该应用可显著降低发现缺陷成本,有利于尽早发现工程流程中的需求错误,加快产品上市。 IBM Engineering Requirements Quality Assistant On-Premises所有版本存在输入验证错误漏洞,该漏洞源于客户端不当的验证,攻击者可利用漏洞获取敏感信息。
Severity
中
Patch Name
IBM Engineering Requirements Quality Assistant输入验证错误漏洞的补丁
Patch Description
IBM Engineering Requirements Quality Assistant是美国IBM公司的一款基于Watson AI用于辅助开发人员提高工程需求质量的软件。该应用可显著降低发现缺陷成本,有利于尽早发现工程流程中的需求错误,加快产品上市。 IBM Engineering Requirements Quality Assistant On-Premises所有版本存在输入验证错误漏洞,该漏洞源于客户端不当的验证,攻击者可利用漏洞获取敏感信息。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/6604005

Reference
https://exchange.xforce.ibmcloud.com/vulnerabilities/203738
Impacted products
Name
IBM Engineering Requirements Quality Assistant
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-29799",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-29799"
    }
  },
  "description": "IBM Engineering Requirements Quality Assistant\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u6b3e\u57fa\u4e8eWatson AI\u7528\u4e8e\u8f85\u52a9\u5f00\u53d1\u4eba\u5458\u63d0\u9ad8\u5de5\u7a0b\u9700\u6c42\u8d28\u91cf\u7684\u8f6f\u4ef6\u3002\u8be5\u5e94\u7528\u53ef\u663e\u8457\u964d\u4f4e\u53d1\u73b0\u7f3a\u9677\u6210\u672c\uff0c\u6709\u5229\u4e8e\u5c3d\u65e9\u53d1\u73b0\u5de5\u7a0b\u6d41\u7a0b\u4e2d\u7684\u9700\u6c42\u9519\u8bef\uff0c\u52a0\u5feb\u4ea7\u54c1\u4e0a\u5e02\u3002\n\nIBM Engineering Requirements Quality Assistant On-Premises\u6240\u6709\u7248\u672c\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5ba2\u6237\u7aef\u4e0d\u5f53\u7684\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u53d6\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/6604005",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-91136",
  "openTime": "2022-12-26",
  "patchDescription": "IBM Engineering Requirements Quality Assistant\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u6b3e\u57fa\u4e8eWatson AI\u7528\u4e8e\u8f85\u52a9\u5f00\u53d1\u4eba\u5458\u63d0\u9ad8\u5de5\u7a0b\u9700\u6c42\u8d28\u91cf\u7684\u8f6f\u4ef6\u3002\u8be5\u5e94\u7528\u53ef\u663e\u8457\u964d\u4f4e\u53d1\u73b0\u7f3a\u9677\u6210\u672c\uff0c\u6709\u5229\u4e8e\u5c3d\u65e9\u53d1\u73b0\u5de5\u7a0b\u6d41\u7a0b\u4e2d\u7684\u9700\u6c42\u9519\u8bef\uff0c\u52a0\u5feb\u4ea7\u54c1\u4e0a\u5e02\u3002\r\n\r\nIBM Engineering Requirements Quality Assistant On-Premises\u6240\u6709\u7248\u672c\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5ba2\u6237\u7aef\u4e0d\u5f53\u7684\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u53d6\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 Engineering Requirements Quality Assistant\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM Engineering Requirements Quality Assistant"
  },
  "referenceLink": "https://exchange.xforce.ibmcloud.com/vulnerabilities/203738",
  "serverity": "\u4e2d",
  "submitTime": "2022-07-20",
  "title": "IBM Engineering Requirements Quality Assistant\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e"
}



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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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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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