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CNVD-2022-75537

Vulnerability from cnvd - Published: 2022-11-09
VLAI
Title
Siemens QMS Automotive信息泄露漏洞
Description
QMS Automotive提供了简化生产和ERP操作所需的程序、流程、结构和资源,同时有效地管理质量问题。 Siemens QMS Automotive存在信息泄露漏洞,攻击者可利用该漏洞访问凭据并冒充其他用户。
Severity
Patch Name
Siemens QMS Automotive信息泄露漏洞的补丁
Patch Description
QMS Automotive提供了简化生产和ERP操作所需的程序、流程、结构和资源,同时有效地管理质量问题。 Siemens QMS Automotive存在信息泄露漏洞,攻击者可利用该漏洞访问凭据并冒充其他用户。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

用户可参考如下供应商提供的安全公告获得补丁信息: https://cert-portal.siemens.com/productcert/html/ssa-587547.html

Reference
https://cert-portal.siemens.com/productcert/html/ssa-587547.html
Impacted products
Name
Siemens QMS Automotive
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-43958"
    }
  },
  "description": "QMS Automotive\u63d0\u4f9b\u4e86\u7b80\u5316\u751f\u4ea7\u548cERP\u64cd\u4f5c\u6240\u9700\u7684\u7a0b\u5e8f\u3001\u6d41\u7a0b\u3001\u7ed3\u6784\u548c\u8d44\u6e90\uff0c\u540c\u65f6\u6709\u6548\u5730\u7ba1\u7406\u8d28\u91cf\u95ee\u9898\u3002\n\nSiemens QMS Automotive\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u51ed\u636e\u5e76\u5192\u5145\u5176\u4ed6\u7528\u6237\u3002",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u4f9b\u5e94\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a \r\nhttps://cert-portal.siemens.com/productcert/html/ssa-587547.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-75537",
  "openTime": "2022-11-09",
  "patchDescription": "QMS Automotive\u63d0\u4f9b\u4e86\u7b80\u5316\u751f\u4ea7\u548cERP\u64cd\u4f5c\u6240\u9700\u7684\u7a0b\u5e8f\u3001\u6d41\u7a0b\u3001\u7ed3\u6784\u548c\u8d44\u6e90\uff0c\u540c\u65f6\u6709\u6548\u5730\u7ba1\u7406\u8d28\u91cf\u95ee\u9898\u3002\r\n\r\nSiemens QMS Automotive\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbf\u95ee\u51ed\u636e\u5e76\u5192\u5145\u5176\u4ed6\u7528\u6237\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": "Siemens QMS Automotive\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Siemens QMS Automotive"
  },
  "referenceLink": "https://cert-portal.siemens.com/productcert/html/ssa-587547.html",
  "serverity": "\u9ad8",
  "submitTime": "2022-11-09",
  "title": "Siemens QMS Automotive\u4fe1\u606f\u6cc4\u9732\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

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  • 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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