CNVD-2022-28487

Vulnerability from cnvd - Published: 2022-04-13
VLAI
Title
Siemens Mendix访问控制错误漏洞
Description
Mendix是一个高生产力的应用程序平台,使您能够构建并不断改进移动和大规模的Web应用程序。 Siemens Mendix存在访问控制错误漏洞,攻击者可利用该漏洞提取有关受保护字段内容的信息。
Severity
低
Patch Name
Siemens Mendix访问控制错误漏洞的补丁
Patch Description
Mendix是一个高生产力的应用程序平台,使您能够构建并不断改进移动和大规模的Web应用程序。 Siemens Mendix存在访问控制错误漏洞,攻击者可利用该漏洞提取有关受保护字段内容的信息。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

厂商已发布了漏洞修复程序,请及时关注更新: https://www.siemens.com/

Reference
https://cert-portal.siemens.com/productcert/pdf/ssa-870917.pdf
Impacted products
Name
['Siemens Mendix Applications using Mendix 7 <7.23.27', 'Siemens Mendix Applications using Mendix 8 <8.18.14', 'Siemens Mendix Applications using Mendix 9 <9.12.0', 'Siemens Mendix Applications using Mendix 9 <9.6.3']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-25650"
    }
  },
  "description": "Mendix\u662f\u4e00\u4e2a\u9ad8\u751f\u4ea7\u529b\u7684\u5e94\u7528\u7a0b\u5e8f\u5e73\u53f0\uff0c\u4f7f\u60a8\u80fd\u591f\u6784\u5efa\u5e76\u4e0d\u65ad\u6539\u8fdb\u79fb\u52a8\u548c\u5927\u89c4\u6a21\u7684Web\u5e94\u7528\u7a0b\u5e8f\u3002\n\nSiemens Mendix\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63d0\u53d6\u6709\u5173\u53d7\u4fdd\u62a4\u5b57\u6bb5\u5185\u5bb9\u7684\u4fe1\u606f\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://www.siemens.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-28487",
  "openTime": "2022-04-13",
  "patchDescription": "Mendix\u662f\u4e00\u4e2a\u9ad8\u751f\u4ea7\u529b\u7684\u5e94\u7528\u7a0b\u5e8f\u5e73\u53f0\uff0c\u4f7f\u60a8\u80fd\u591f\u6784\u5efa\u5e76\u4e0d\u65ad\u6539\u8fdb\u79fb\u52a8\u548c\u5927\u89c4\u6a21\u7684Web\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nSiemens Mendix\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u63d0\u53d6\u6709\u5173\u53d7\u4fdd\u62a4\u5b57\u6bb5\u5185\u5bb9\u7684\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": "Siemens Mendix\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Siemens Mendix Applications using Mendix 7 \u003c7.23.27",
      "Siemens Mendix Applications using Mendix 8 \u003c8.18.14",
      "Siemens Mendix Applications using Mendix 9 \u003c9.12.0",
      "Siemens Mendix Applications using Mendix 9 \u003c9.6.3"
    ]
  },
  "referenceLink": "https://cert-portal.siemens.com/productcert/pdf/ssa-870917.pdf",
  "serverity": "\u4f4e",
  "submitTime": "2022-04-13",
  "title": "Siemens Mendix\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\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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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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