CNVD-2015-02406

Vulnerability from cnvd - Published: 2015-04-15
VLAI
Title
phpTrafficA 'statsRecent.inc.php'跨站脚本漏洞
Description
phpTrafficA是一个统计工具用于网站流量分析。 phpTrafficA 'statsRecent.inc.php'存在跨站脚本漏洞。由于程序未能正确过滤用户提供的输入。允许攻击者利用此漏洞在受影响用户的浏览器上下文中执行任意代码。
Severity
中
Patch Name
phpTrafficA 'statsRecent.inc.php'跨站脚本漏洞的补丁
Patch Description
phpTrafficA是一个统计工具用于网站流量分析。 phpTrafficA 'statsRecent.inc.php'存在跨站脚本漏洞。由于程序未能正确过滤用户提供的输入。允许攻击者利用此漏洞在受影响用户的浏览器上下文中执行任意代码。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

用户可联系供应商获得补丁信息: http://www.securityfocus.com/archive/1/archive/1/535212/100/0/threaded

Reference
http://www.securityfocus.com/bid/74046 https://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2015-2926 http://www.securityfocus.com/archive/1/archive/1/535212/100/0/threaded
Impacted products
Name
Phptraffica phpTrafficA <= 2.3
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "74046"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-2926"
    }
  },
  "description": "phpTrafficA\u662f\u4e00\u4e2a\u7edf\u8ba1\u5de5\u5177\u7528\u4e8e\u7f51\u7ad9\u6d41\u91cf\u5206\u6790\u3002 \r\n\r\nphpTrafficA \u0027statsRecent.inc.php\u0027\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u7531\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u8fc7\u6ee4\u7528\u6237\u63d0\u4f9b\u7684\u8f93\u5165\u3002\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u6b64\u6f0f\u6d1e\u5728\u53d7\u5f71\u54cd\u7528\u6237\u7684\u6d4f\u89c8\u5668\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Daniel Geerts",
  "formalWay": "\u7528\u6237\u53ef\u8054\u7cfb\u4f9b\u5e94\u5546\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttp://www.securityfocus.com/archive/1/archive/1/535212/100/0/threaded",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-02406",
  "openTime": "2015-04-15",
  "patchDescription": "phpTrafficA\u662f\u4e00\u4e2a\u7edf\u8ba1\u5de5\u5177\u7528\u4e8e\u7f51\u7ad9\u6d41\u91cf\u5206\u6790\u3002 \r\n\r\nphpTrafficA \u0027statsRecent.inc.php\u0027\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u7531\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u8fc7\u6ee4\u7528\u6237\u63d0\u4f9b\u7684\u8f93\u5165\u3002\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u6b64\u6f0f\u6d1e\u5728\u53d7\u5f71\u54cd\u7528\u6237\u7684\u6d4f\u89c8\u5668\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\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": "phpTrafficA \u0027statsRecent.inc.php\u0027\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Phptraffica phpTrafficA \u003c= 2.3"
  },
  "referenceLink": "http://www.securityfocus.com/bid/74046\r\nhttps://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2015-2926\r\nhttp://www.securityfocus.com/archive/1/archive/1/535212/100/0/threaded",
  "serverity": "\u4e2d",
  "submitTime": "2015-04-14",
  "title": "phpTrafficA \u0027statsRecent.inc.php\u0027\u8de8\u7ad9\u811a\u672c\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.
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  • 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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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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