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CNVD-2017-07136

Vulnerability from cnvd - Published: 2017-05-22
VLAI
Title
Private Tunnel拒绝服务漏洞
Description
Private Tunnel是一种通过创建虚拟专用网络vpn来实现真正的互联网安全、隐私及网络保护的新方法。 Private Tunnel存在拒绝服务漏洞,本地攻击者可利用该漏洞通过长密码导致拒绝服务。
Severity
Formal description

目前没有详细的解决方案提供: https://www.privatetunnel.com/home/

Reference
https://www.exploit-db.com/exploits/41916/ https://nvd.nist.gov/vuln/detail/CVE-2017-7720
Impacted products
Name
['Private Tunnel Private Tunnel 2.7', 'Private Tunnel Private Tunnel 2.8']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-7720"
    }
  },
  "description": "Private Tunnel\u662f\u4e00\u79cd\u901a\u8fc7\u521b\u5efa\u865a\u62df\u4e13\u7528\u7f51\u7edcvpn\u6765\u5b9e\u73b0\u771f\u6b63\u7684\u4e92\u8054\u7f51\u5b89\u5168\u3001\u9690\u79c1\u53ca\u7f51\u7edc\u4fdd\u62a4\u7684\u65b0\u65b9\u6cd5\u3002\r\n\r\nPrivate Tunnel\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff0c\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u957f\u5bc6\u7801\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u3002",
  "discovererName": "Muhann4d",
  "formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttps://www.privatetunnel.com/home/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-07136",
  "openTime": "2017-05-22",
  "products": {
    "product": [
      "Private Tunnel Private Tunnel 2.7",
      "Private Tunnel Private Tunnel 2.8"
    ]
  },
  "referenceLink": "https://www.exploit-db.com/exploits/41916/\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2017-7720",
  "serverity": "\u4e2d",
  "submitTime": "2017-05-04",
  "title": "Private Tunnel\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

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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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