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CNVD-2021-36224

Vulnerability from cnvd - Published: 2021-05-21
VLAI
Title
Vaadin vaadin-server资源管理错误漏洞
Description
vaadin-server是Vaadin开源的一个应用软件。一个用于在Java后端上快速开发Web应用程序的平台。 vaadin:vaadin-server versions 7.0.0 through 7.7.21 中的EmailValidator class存在资源管理错误漏洞,攻击者可利用该漏洞通过提交恶意电子邮件地址来导致资源消耗。
Severity
Patch Name
Vaadin vaadin-server资源管理错误漏洞的补丁
Patch Description
vaadin-server是Vaadin开源的一个应用软件。一个用于在Java后端上快速开发Web应用程序的平台。 vaadin:vaadin-server versions 7.0.0 through 7.7.21 中的EmailValidator class存在资源管理错误漏洞,攻击者可利用该漏洞通过提交恶意电子邮件地址来导致资源消耗。 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://vaadin.com/security/cve-2020-36320

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-36320
Impacted products
Name
Vaadin vaadin-server >=7.0.0,<=7.7.21
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-36320"
    }
  },
  "description": "vaadin-server\u662fVaadin\u5f00\u6e90\u7684\u4e00\u4e2a\u5e94\u7528\u8f6f\u4ef6\u3002\u4e00\u4e2a\u7528\u4e8e\u5728Java\u540e\u7aef\u4e0a\u5feb\u901f\u5f00\u53d1Web\u5e94\u7528\u7a0b\u5e8f\u7684\u5e73\u53f0\u3002\n\nvaadin\uff1avaadin-server versions 7.0.0 through 7.7.21 \u4e2d\u7684EmailValidator class\u5b58\u5728\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u63d0\u4ea4\u6076\u610f\u7535\u5b50\u90ae\u4ef6\u5730\u5740\u6765\u5bfc\u81f4\u8d44\u6e90\u6d88\u8017\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://vaadin.com/security/cve-2020-36320",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-36224",
  "openTime": "2021-05-21",
  "patchDescription": "vaadin-server\u662fVaadin\u5f00\u6e90\u7684\u4e00\u4e2a\u5e94\u7528\u8f6f\u4ef6\u3002\u4e00\u4e2a\u7528\u4e8e\u5728Java\u540e\u7aef\u4e0a\u5feb\u901f\u5f00\u53d1Web\u5e94\u7528\u7a0b\u5e8f\u7684\u5e73\u53f0\u3002\r\n\r\nvaadin\uff1avaadin-server versions 7.0.0 through 7.7.21 \u4e2d\u7684EmailValidator class\u5b58\u5728\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u63d0\u4ea4\u6076\u610f\u7535\u5b50\u90ae\u4ef6\u5730\u5740\u6765\u5bfc\u81f4\u8d44\u6e90\u6d88\u8017\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": "Vaadin vaadin-server\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Vaadin vaadin-server \u003e=7.0.0\uff0c\u003c=7.7.21"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-36320",
  "serverity": "\u4e2d",
  "submitTime": "2021-04-27",
  "title": "Vaadin vaadin-server\u8d44\u6e90\u7ba1\u7406\u9519\u8bef\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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