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CNVD-2021-44982

Vulnerability from cnvd - Published: 2021-06-25
VLAI
Title
Wire跨站脚本漏洞(CNVD-2021-44982)
Description
Wire是个人开发者的一款聊天软件。该软件支持 Web、WindowsiOS、Android、OS X 平台,有群组功能,可以语音通话,发送照片以及其独创性的打招呼方式 PING。 wire-webapp存在跨站脚本漏洞,攻击者可利用该漏洞完全控制用户帐户。
Severity
Patch Name
Wire跨站脚本漏洞(CNVD-2021-44982)的补丁
Patch Description
Wire是个人开发者的一款聊天软件。该软件支持 Web、WindowsiOS、Android、OS X 平台,有群组功能,可以语音通话,发送照片以及其独创性的打招呼方式 PING。 wire-webapp存在跨站脚本漏洞,攻击者可利用该漏洞完全控制用户帐户。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://github.com/wireapp/wire-webapp/security/advisories/GHSA-382j-mmc8-m5rw

Reference
https://github.com/wireapp/wire-webapp/security/advisories/GHSA-382j-mmc8-m5rw
Impacted products
Name
Wire wire-webapp <2021-06-01-production.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-32683"
    }
  },
  "description": "Wire\u662f\u4e2a\u4eba\u5f00\u53d1\u8005\u7684\u4e00\u6b3e\u804a\u5929\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u652f\u6301 Web\u3001WindowsiOS\u3001Android\u3001OS X \u5e73\u53f0\uff0c\u6709\u7fa4\u7ec4\u529f\u80fd\uff0c\u53ef\u4ee5\u8bed\u97f3\u901a\u8bdd\uff0c\u53d1\u9001\u7167\u7247\u4ee5\u53ca\u5176\u72ec\u521b\u6027\u7684\u6253\u62db\u547c\u65b9\u5f0f PING\u3002\n\nwire-webapp\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5b8c\u5168\u63a7\u5236\u7528\u6237\u5e10\u6237\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://github.com/wireapp/wire-webapp/security/advisories/GHSA-382j-mmc8-m5rw",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-44982",
  "openTime": "2021-06-25",
  "patchDescription": "Wire\u662f\u4e2a\u4eba\u5f00\u53d1\u8005\u7684\u4e00\u6b3e\u804a\u5929\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u652f\u6301 Web\u3001WindowsiOS\u3001Android\u3001OS X \u5e73\u53f0\uff0c\u6709\u7fa4\u7ec4\u529f\u80fd\uff0c\u53ef\u4ee5\u8bed\u97f3\u901a\u8bdd\uff0c\u53d1\u9001\u7167\u7247\u4ee5\u53ca\u5176\u72ec\u521b\u6027\u7684\u6253\u62db\u547c\u65b9\u5f0f PING\u3002\r\n\r\nwire-webapp\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5b8c\u5168\u63a7\u5236\u7528\u6237\u5e10\u6237\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": "Wire\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2021-44982\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Wire wire-webapp \u003c2021-06-01-production.0"
  },
  "referenceLink": "https://github.com/wireapp/wire-webapp/security/advisories/GHSA-382j-mmc8-m5rw",
  "serverity": "\u4e2d",
  "submitTime": "2021-06-16",
  "title": "Wire\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2021-44982\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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