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CNVD-2022-01681

Vulnerability from cnvd - Published: 2022-01-07
VLAI
Title
Xiaomi community授权问题漏洞
Description
Xiaomi Community是中国小米(Xiaomi)公司的一个官方用户社区应用。 Xiaomi Community 3.0.210809之前版本存在授权问题漏洞,该漏洞源于一些js接口被暴露。攻击者可利用该漏洞恶意调用敏感函数。
Severity
Patch Name
Xiaomi community授权问题漏洞的补丁
Patch Description
Xiaomi Community是中国小米(Xiaomi)公司的一个官方用户社区应用。 Xiaomi Community 3.0.210809之前版本存在授权问题漏洞,该漏洞源于一些js接口被暴露。攻击者可利用该漏洞恶意调用敏感函数。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://privacy.mi.com/trust#/security/vulnerability-management/vulnerability-announcement/detail?id=25&locale=zh

Reference
https://privacy.mi.com/trust#/security/vulnerability-management/vulnerability-announcement/detail?id=25&locale=zh
Impacted products
Name
Xiaomi Xiaomi community <3.0.210809
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-14130",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-14130"
    }
  },
  "description": "Xiaomi Community\u662f\u4e2d\u56fd\u5c0f\u7c73\uff08Xiaomi\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5b98\u65b9\u7528\u6237\u793e\u533a\u5e94\u7528\u3002\n\nXiaomi Community 3.0.210809\u4e4b\u524d\u7248\u672c\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4e00\u4e9bjs\u63a5\u53e3\u88ab\u66b4\u9732\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6076\u610f\u8c03\u7528\u654f\u611f\u51fd\u6570\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://privacy.mi.com/trust#/security/vulnerability-management/vulnerability-announcement/detail?id=25\u0026locale=zh",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-01681",
  "openTime": "2022-01-07",
  "patchDescription": "Xiaomi Community\u662f\u4e2d\u56fd\u5c0f\u7c73\uff08Xiaomi\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5b98\u65b9\u7528\u6237\u793e\u533a\u5e94\u7528\u3002\r\n\r\nXiaomi Community 3.0.210809\u4e4b\u524d\u7248\u672c\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4e00\u4e9bjs\u63a5\u53e3\u88ab\u66b4\u9732\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6076\u610f\u8c03\u7528\u654f\u611f\u51fd\u6570\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": "Xiaomi community\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Xiaomi Xiaomi community \u003c3.0.210809"
  },
  "referenceLink": "https://privacy.mi.com/trust#/security/vulnerability-management/vulnerability-announcement/detail?id=25\u0026locale=zh",
  "serverity": "\u4e2d",
  "submitTime": "2021-09-18",
  "title": "Xiaomi community\u6388\u6743\u95ee\u9898\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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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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