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CNVD-2022-66495

Vulnerability from cnvd - Published: 2022-09-19
VLAI
Title
Vapor拒绝服务漏洞
Description
Vapor是一个Swift 的 Web开发框架。可用于开发高性能的Web应用,支持iOS、OS X和Ubuntu系统。 Vapor 4.61.1之前版本存在拒绝服务漏洞,该漏洞源于未对输入的错误消息做正确的处理,攻击者可利用该漏洞通过特制的请求使服务器崩溃。
Severity
Patch Name
Vapor拒绝服务漏洞的补丁
Patch Description
Vapor是一个Swift 的 Web开发框架。可用于开发高性能的Web应用,支持iOS、OS X和Ubuntu系统。 Vapor 4.61.1之前版本存在拒绝服务漏洞,该漏洞源于未对输入的错误消息做正确的处理,攻击者可利用该漏洞通过特制的请求使服务器崩溃。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/vapor/vapor/security/advisories/GHSA-qvxg-wjxc-r4gg

Reference
https://github.com/vapor/vapor/commit/6c63226a4ab82ce53730eb1afb9ca63866fcf033
Impacted products
Name
Vapor Vapor <4.61.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-31019",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-31019"
    }
  },
  "description": "Vapor\u662f\u4e00\u4e2aSwift \u7684 Web\u5f00\u53d1\u6846\u67b6\u3002\u53ef\u7528\u4e8e\u5f00\u53d1\u9ad8\u6027\u80fd\u7684Web\u5e94\u7528\uff0c\u652f\u6301iOS\u3001OS X\u548cUbuntu\u7cfb\u7edf\u3002\n\nVapor 4.61.1\u4e4b\u524d\u7248\u672c\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u5bf9\u8f93\u5165\u7684\u9519\u8bef\u6d88\u606f\u505a\u6b63\u786e\u7684\u5904\u7406\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u7279\u5236\u7684\u8bf7\u6c42\u4f7f\u670d\u52a1\u5668\u5d29\u6e83\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/vapor/vapor/security/advisories/GHSA-qvxg-wjxc-r4gg",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-66495",
  "openTime": "2022-09-19",
  "patchDescription": "Vapor\u662f\u4e00\u4e2aSwift \u7684 Web\u5f00\u53d1\u6846\u67b6\u3002\u53ef\u7528\u4e8e\u5f00\u53d1\u9ad8\u6027\u80fd\u7684Web\u5e94\u7528\uff0c\u652f\u6301iOS\u3001OS X\u548cUbuntu\u7cfb\u7edf\u3002\r\n\r\nVapor 4.61.1\u4e4b\u524d\u7248\u672c\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u5bf9\u8f93\u5165\u7684\u9519\u8bef\u6d88\u606f\u505a\u6b63\u786e\u7684\u5904\u7406\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u7279\u5236\u7684\u8bf7\u6c42\u4f7f\u670d\u52a1\u5668\u5d29\u6e83\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": "Vapor\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Vapor Vapor \u003c4.61.1"
  },
  "referenceLink": "https://github.com/vapor/vapor/commit/6c63226a4ab82ce53730eb1afb9ca63866fcf033",
  "serverity": "\u4e2d",
  "submitTime": "2022-06-13",
  "title": "Vapor\u62d2\u7edd\u670d\u52a1\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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