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CNVD-2018-07225

Vulnerability from cnvd - Published: 2018-04-09
VLAI
Title
Apache HTTP Server远程安全绕过漏洞
Description
Apache HTTP Server是Apache软件基金会的一个开放源代码的网页服务器。 Apache httpd 2.2.0至2.4.29版本存在安全绕过漏洞,攻击者利用此漏洞通过文件名内的尾部换行符,可绕过安全限制,执行未授权操作。
Severity
Patch Name
Apache HTTP Server远程安全绕过漏洞的补丁
Patch Description
Apache HTTP Server是Apache软件基金会的一个开放源代码的网页服务器。 Apache httpd 2.2.0至2.4.29版本存在安全绕过漏洞,攻击者利用此漏洞通过文件名内的尾部换行符,可绕过安全限制,执行未授权操作。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

目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://bugzilla.redhat.com/show_bug.cgi?id=1560614

Reference
https://nvd.nist.gov/vuln/detail/CVE-2018-15715 https://www.securityfocus.com/bid/103525
Impacted products
Name
Apache Apache >=2.2.0,<=2.4.29
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "103525"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-15715",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-15715"
    }
  },
  "description": "Apache HTTP Server\u662fApache\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u4e2a\u5f00\u653e\u6e90\u4ee3\u7801\u7684\u7f51\u9875\u670d\u52a1\u5668\u3002\r\n\r\nApache httpd 2.2.0\u81f32.4.29\u7248\u672c\u5b58\u5728\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u5229\u7528\u6b64\u6f0f\u6d1e\u901a\u8fc7\u6587\u4ef6\u540d\u5185\u7684\u5c3e\u90e8\u6362\u884c\u7b26\uff0c\u53ef\u7ed5\u8fc7\u5b89\u5168\u9650\u5236\uff0c\u6267\u884c\u672a\u6388\u6743\u64cd\u4f5c\u3002",
  "discovererName": "Elar Lang",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://bugzilla.redhat.com/show_bug.cgi?id=1560614",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-07225",
  "openTime": "2018-04-09",
  "patchDescription": "Apache HTTP Server\u662fApache\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u4e2a\u5f00\u653e\u6e90\u4ee3\u7801\u7684\u7f51\u9875\u670d\u52a1\u5668\u3002\r\n\r\nApache httpd 2.2.0\u81f32.4.29\u7248\u672c\u5b58\u5728\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u5229\u7528\u6b64\u6f0f\u6d1e\u901a\u8fc7\u6587\u4ef6\u540d\u5185\u7684\u5c3e\u90e8\u6362\u884c\u7b26\uff0c\u53ef\u7ed5\u8fc7\u5b89\u5168\u9650\u5236\uff0c\u6267\u884c\u672a\u6388\u6743\u64cd\u4f5c\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": "Apache HTTP Server\u8fdc\u7a0b\u5b89\u5168\u7ed5\u8fc7\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache Apache \u003e=2.2.0\uff0c\u003c=2.4.29"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-15715\r\nhttps://www.securityfocus.com/bid/103525",
  "serverity": "\u4e2d",
  "submitTime": "2018-04-02",
  "title": "Apache HTTP Server\u8fdc\u7a0b\u5b89\u5168\u7ed5\u8fc7\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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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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