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CNVD-2020-33772

Vulnerability from cnvd - Published: 2020-06-21
VLAI
Title
express-mock-middleware输入验证错误漏洞
Description
express-mock-middleware是一款模拟中间件。 express-mock-middleware 0.0.6及之前版本中存在输入验证错误漏洞。该漏洞源于网络系统或产品未对输入的数据进行正确的验证。目前没有详细的漏洞细节提供。
Severity
Formal description

目前厂商暂未发布修复措施解决此安全问题,建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法: https://github.com/LingyuCoder/express-mock-middleware

Reference
https://snyk.io/vuln/SNYK-JS-EXPRESSMOCKMIDDLEWARE-564120
Impacted products
Name
express-mock-middleware express-mock-middleware <=0.0.6
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-7616"
    }
  },
  "description": "express-mock-middleware\u662f\u4e00\u6b3e\u6a21\u62df\u4e2d\u95f4\u4ef6\u3002\n\nexpress-mock-middleware 0.0.6\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u672a\u5bf9\u8f93\u5165\u7684\u6570\u636e\u8fdb\u884c\u6b63\u786e\u7684\u9a8c\u8bc1\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://github.com/LingyuCoder/express-mock-middleware",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-33772",
  "openTime": "2020-06-21",
  "products": {
    "product": "express-mock-middleware express-mock-middleware \u003c=0.0.6"
  },
  "referenceLink": "https://snyk.io/vuln/SNYK-JS-EXPRESSMOCKMIDDLEWARE-564120",
  "serverity": "\u4e2d",
  "submitTime": "2020-04-08",
  "title": "express-mock-middleware\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.

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