CNVD-2020-22206

Vulnerability from cnvd - Published: 2020-04-09
VLAI
Title
Huawei Mate 30 Pro和Huawei Mate 30授权问题漏洞
Description
Huawei Mate 30 Pro和Huawei Mate 30都是中国华为(Huawei)公司的一款智能手机。 Huawei Mate 30 Pro 10.0.0.205(C00E202R7P2)之前版本和Mate 30 10.0.0.205(C00E201R7P2)之前版本中存在授权问题漏洞,该漏洞在共享文件的特定场景下,系统中的一些功能接口未对该接口的调用者进行充分地身份认证。攻击者可利用该漏洞获取信息。
Severity
Patch Name
Huawei Mate 30 Pro和Huawei Mate 30授权问题漏洞的补丁
Patch Description
Huawei Mate 30 Pro和Huawei Mate 30都是中国华为(Huawei)公司的一款智能手机。 Huawei Mate 30 Pro 10.0.0.205(C00E202R7P2)之前版本和Mate 30 10.0.0.205(C00E201R7P2)之前版本中存在授权问题漏洞,该漏洞在共享文件的特定场景下,系统中的一些功能接口未对该接口的调用者进行充分地身份认证。攻击者可利用该漏洞获取信息。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.huawei.com/cn/psirt/security-advisories/huawei-sa-20200408-01-smartphone-cn

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-1801
Impacted products
Name
['Huawei Mate 30 Pro <10.0.0.205(C00E202R7P2)', 'Huawei Mate 30 <10.0.0.205(C00E201R7P2)']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-1801"
    }
  },
  "description": "Huawei Mate 30 Pro\u548cHuawei Mate 30\u90fd\u662f\u4e2d\u56fd\u534e\u4e3a\uff08Huawei\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u667a\u80fd\u624b\u673a\u3002\n\nHuawei Mate 30 Pro 10.0.0.205(C00E202R7P2)\u4e4b\u524d\u7248\u672c\u548cMate 30 10.0.0.205(C00E201R7P2)\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u5728\u5171\u4eab\u6587\u4ef6\u7684\u7279\u5b9a\u573a\u666f\u4e0b\uff0c\u7cfb\u7edf\u4e2d\u7684\u4e00\u4e9b\u529f\u80fd\u63a5\u53e3\u672a\u5bf9\u8be5\u63a5\u53e3\u7684\u8c03\u7528\u8005\u8fdb\u884c\u5145\u5206\u5730\u8eab\u4efd\u8ba4\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\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.huawei.com/cn/psirt/security-advisories/huawei-sa-20200408-01-smartphone-cn",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-22206",
  "openTime": "2020-04-09",
  "patchDescription": "Huawei Mate 30 Pro\u548cHuawei Mate 30\u90fd\u662f\u4e2d\u56fd\u534e\u4e3a\uff08Huawei\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u667a\u80fd\u624b\u673a\u3002\r\n\r\nHuawei Mate 30 Pro 10.0.0.205(C00E202R7P2)\u4e4b\u524d\u7248\u672c\u548cMate 30 10.0.0.205(C00E201R7P2)\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u5728\u5171\u4eab\u6587\u4ef6\u7684\u7279\u5b9a\u573a\u666f\u4e0b\uff0c\u7cfb\u7edf\u4e2d\u7684\u4e00\u4e9b\u529f\u80fd\u63a5\u53e3\u672a\u5bf9\u8be5\u63a5\u53e3\u7684\u8c03\u7528\u8005\u8fdb\u884c\u5145\u5206\u5730\u8eab\u4efd\u8ba4\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\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": "Huawei Mate 30 Pro\u548cHuawei Mate 30\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Huawei Mate 30 Pro \u003c10.0.0.205(C00E202R7P2)",
      "Huawei Mate 30 \u003c10.0.0.205(C00E201R7P2)"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-1801",
  "serverity": "\u4e2d",
  "submitTime": "2020-04-09",
  "title": "Huawei Mate 30 Pro\u548cHuawei Mate 30\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

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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.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
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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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