CNVD-2018-19936

Vulnerability from cnvd - Published: 2018-09-28
VLAI
Title
+Message App无法验证SSL服务器证书漏洞
Description
+Message App是一款APP应用程序。 +Message App无法验证SSL服务器证书,中间人攻击可能允许攻击者窃听加密通信。
Severity
中
Patch Name
+Message App无法验证SSL服务器证书漏洞的补丁
Patch Description
+Message App是一款APP应用程序。 +Message App无法验证SSL服务器证书,中间人攻击可能允许攻击者窃听加密通信。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

用户可联系供应商获得补丁信息: https://www.au.com/information/notice_mobile/service/2018-002/ https://www.nttdocomo.co.jp/info/notice/page/180927_00.html https://www.softbank.jp/mobile/info/personal/news/service/20180927a/

Reference
https://jvn.jp/en/jp/JVN37288228/
Impacted products
Name
['SoftBank +Message App for Android <10.1.7', 'SoftBank +Message App for iOS <1.1.23', 'NTT DOCOMO, INC. +Message App for Android <42.40.2800', 'NTT DOCOMO, INC. +Message App for iOS <1.1.23', 'KDDI CORPORATION +Message App for Android <1.0.6', 'KDDI CORPORATION +Message App for iOS <1.1.23']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-0691"
    }
  },
  "description": "+Message App\u662f\u4e00\u6b3eAPP\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\n+Message App\u65e0\u6cd5\u9a8c\u8bc1SSL\u670d\u52a1\u5668\u8bc1\u4e66\uff0c\u4e2d\u95f4\u4eba\u653b\u51fb\u53ef\u80fd\u5141\u8bb8\u653b\u51fb\u8005\u7a83\u542c\u52a0\u5bc6\u901a\u4fe1\u3002",
  "discovererName": "ma.la of LINE Corporation",
  "formalWay": "\u7528\u6237\u53ef\u8054\u7cfb\u4f9b\u5e94\u5546\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://www.au.com/information/notice_mobile/service/2018-002/\r\nhttps://www.nttdocomo.co.jp/info/notice/page/180927_00.html\r\nhttps://www.softbank.jp/mobile/info/personal/news/service/20180927a/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-19936",
  "openTime": "2018-09-28",
  "patchDescription": "+Message App\u662f\u4e00\u6b3eAPP\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\n+Message App\u65e0\u6cd5\u9a8c\u8bc1SSL\u670d\u52a1\u5668\u8bc1\u4e66\uff0c\u4e2d\u95f4\u4eba\u653b\u51fb\u53ef\u80fd\u5141\u8bb8\u653b\u51fb\u8005\u7a83\u542c\u52a0\u5bc6\u901a\u4fe1\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": "+Message App\u65e0\u6cd5\u9a8c\u8bc1SSL\u670d\u52a1\u5668\u8bc1\u4e66\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "SoftBank +Message App for Android \u003c10.1.7",
      "SoftBank +Message App for iOS \u003c1.1.23",
      "NTT DOCOMO, INC. +Message App for Android \u003c42.40.2800",
      "NTT DOCOMO, INC. +Message App for iOS \u003c1.1.23",
      "KDDI CORPORATION +Message App for Android \u003c1.0.6",
      "KDDI CORPORATION +Message App for iOS \u003c1.1.23"
    ]
  },
  "referenceLink": "https://jvn.jp/en/jp/JVN37288228/",
  "serverity": "\u4e2d",
  "submitTime": "2018-09-28",
  "title": "+Message App\u65e0\u6cd5\u9a8c\u8bc1SSL\u670d\u52a1\u5668\u8bc1\u4e66\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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