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CNVD-2022-13207

Vulnerability from cnvd - Published: 2022-02-22
VLAI
Title
microweber存在未明漏洞(CNVD-2022-13207)
Description
Microweber是美国Microweber社区的一套可提供拖拽功能的网上商店管理系统。该系统包括添加商品、图片等模块。 microweber 1.2.11之前版本存在安全漏洞,该漏洞源于软件中存在的业务逻辑错误。目前没有详细的漏洞细节提供。
Severity
Patch Name
microweber存在未明漏洞(CNVD-2022-13207)的补丁
Patch Description
Microweber是美国Microweber社区的一套可提供拖拽功能的网上商店管理系统。该系统包括添加商品、图片等模块。 microweber 1.2.11之前版本存在安全漏洞,该漏洞源于软件中存在的业务逻辑错误。目前没有详细的漏洞细节提供。 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://github.com/microweber/microweber/commit/a41f0fddaf08ff12b2b82506b1ca9490c93ab605

Reference
https://huntr.dev/bounties/051ec6d4-0b0a-41bf-9ded-27813037c9c9
Impacted products
Name
Microweber Microweber <1.2.11
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-0688"
    }
  },
  "description": "Microweber\u662f\u7f8e\u56fdMicroweber\u793e\u533a\u7684\u4e00\u5957\u53ef\u63d0\u4f9b\u62d6\u62fd\u529f\u80fd\u7684\u7f51\u4e0a\u5546\u5e97\u7ba1\u7406\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u5305\u62ec\u6dfb\u52a0\u5546\u54c1\u3001\u56fe\u7247\u7b49\u6a21\u5757\u3002\n\nmicroweber 1.2.11\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8f6f\u4ef6\u4e2d\u5b58\u5728\u7684\u4e1a\u52a1\u903b\u8f91\u9519\u8bef\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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://github.com/microweber/microweber/commit/a41f0fddaf08ff12b2b82506b1ca9490c93ab605",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-13207",
  "openTime": "2022-02-22",
  "patchDescription": "Microweber\u662f\u7f8e\u56fdMicroweber\u793e\u533a\u7684\u4e00\u5957\u53ef\u63d0\u4f9b\u62d6\u62fd\u529f\u80fd\u7684\u7f51\u4e0a\u5546\u5e97\u7ba1\u7406\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u5305\u62ec\u6dfb\u52a0\u5546\u54c1\u3001\u56fe\u7247\u7b49\u6a21\u5757\u3002\r\n\r\nmicroweber 1.2.11\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u8f6f\u4ef6\u4e2d\u5b58\u5728\u7684\u4e1a\u52a1\u903b\u8f91\u9519\u8bef\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "microweber\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2022-13207\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Microweber Microweber \u003c1.2.11"
  },
  "referenceLink": "https://huntr.dev/bounties/051ec6d4-0b0a-41bf-9ded-27813037c9c9",
  "serverity": "\u9ad8",
  "submitTime": "2022-02-22",
  "title": "microweber\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2022-13207\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

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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Detection rules are retrieved from Rulezet.

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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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