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CNVD-2022-31816

Vulnerability from cnvd - Published: 2022-04-24
VLAI
Title
Frourio输入验证错误漏洞
Description
Frourio是一个用于TypeScript的快速且类型安全的全栈框架。 Frourio存在输入验证错误漏洞,该漏洞源于产品validators/目录下的验证器未对输入数据进行验证,攻击者可利用该漏洞导致验证器在特定情况下无法正常用于请求正文和查询。
Severity
Patch Name
Frourio输入验证错误漏洞的补丁
Patch Description
Frourio是一个用于TypeScript的快速且类型安全的全栈框架。 Frourio存在输入验证错误漏洞,该漏洞源于产品validators/目录下的验证器未对输入数据进行验证,攻击者可利用该漏洞导致验证器在特定情况下无法正常用于请求正文和查询。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/frouriojs/frourio/security/advisories/GHSA-8xxm-h73r-ghfj

Reference
https://github.com/frouriojs/frourio/commit/7c19ac5363305b81b1c6b5232620228763d427af
Impacted products
Name
Frourio Frourio <0.26.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-23623",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-23623"
    }
  },
  "description": "Frourio\u662f\u4e00\u4e2a\u7528\u4e8eTypeScript\u7684\u5feb\u901f\u4e14\u7c7b\u578b\u5b89\u5168\u7684\u5168\u6808\u6846\u67b6\u3002\n\nFrourio\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4ea7\u54c1validators/\u76ee\u5f55\u4e0b\u7684\u9a8c\u8bc1\u5668\u672a\u5bf9\u8f93\u5165\u6570\u636e\u8fdb\u884c\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u9a8c\u8bc1\u5668\u5728\u7279\u5b9a\u60c5\u51b5\u4e0b\u65e0\u6cd5\u6b63\u5e38\u7528\u4e8e\u8bf7\u6c42\u6b63\u6587\u548c\u67e5\u8be2\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/frouriojs/frourio/security/advisories/GHSA-8xxm-h73r-ghfj",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-31816",
  "openTime": "2022-04-24",
  "patchDescription": "Frourio\u662f\u4e00\u4e2a\u7528\u4e8eTypeScript\u7684\u5feb\u901f\u4e14\u7c7b\u578b\u5b89\u5168\u7684\u5168\u6808\u6846\u67b6\u3002\r\n\r\nFrourio\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u4ea7\u54c1validators/\u76ee\u5f55\u4e0b\u7684\u9a8c\u8bc1\u5668\u672a\u5bf9\u8f93\u5165\u6570\u636e\u8fdb\u884c\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5bfc\u81f4\u9a8c\u8bc1\u5668\u5728\u7279\u5b9a\u60c5\u51b5\u4e0b\u65e0\u6cd5\u6b63\u5e38\u7528\u4e8e\u8bf7\u6c42\u6b63\u6587\u548c\u67e5\u8be2\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": "Frourio\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Frourio Frourio \u003c0.26.0"
  },
  "referenceLink": "https://github.com/frouriojs/frourio/commit/7c19ac5363305b81b1c6b5232620228763d427af",
  "serverity": "\u4e2d",
  "submitTime": "2022-04-01",
  "title": "Frourio\u8f93\u5165\u9a8c\u8bc1\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

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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.
  • 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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