CNVD-2019-36855

Vulnerability from cnvd - Published: 2019-10-23
VLAI
Title
PHP远程代码执行漏洞(CNVD-2019-36855)
Description
PHP(PHP:Hypertext Preprocessor,PHP:超文本预处理器)是PHP Group和开放源代码社区共同维护的一种开源的通用计算机脚本语言。 PHP存在远程代码执行漏洞。攻击者通过精心的构造和利用,可以导致远程代码执行。
Severity
高
Patch Name
PHP远程代码执行漏洞(CNVD-2019-36855)的补丁
Patch Description
PHP(PHP:Hypertext Preprocessor,PHP:超文本预处理器)是PHP Group和开放源代码社区共同维护的一种开源的通用计算机脚本语言。 PHP存在远程代码执行漏洞。攻击者通过精心的构造和利用,可以导致远程代码执行。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

用户可参考如下供应商提供的安全公告获得补丁信息: https://bugs.php.net/bug.php?id=78599

Reference
https://bugs.php.net/bug.php?id=78599 https://lab.wallarm.com/php-remote-code-execution-0-day-discovered-in-real-world-ctf-exercise/ https://github.com/neex/phuip-fpizdam
Impacted products
Name
PHP PHP
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-11043"
    }
  },
  "description": "PHP\uff08PHP\uff1aHypertext Preprocessor\uff0cPHP\uff1a\u8d85\u6587\u672c\u9884\u5904\u7406\u5668\uff09\u662fPHP Group\u548c\u5f00\u653e\u6e90\u4ee3\u7801\u793e\u533a\u5171\u540c\u7ef4\u62a4\u7684\u4e00\u79cd\u5f00\u6e90\u7684\u901a\u7528\u8ba1\u7b97\u673a\u811a\u672c\u8bed\u8a00\u3002 \n\nPHP\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u901a\u8fc7\u7cbe\u5fc3\u7684\u6784\u9020\u548c\u5229\u7528\uff0c\u53ef\u4ee5\u5bfc\u81f4\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u3002",
  "discovererName": "Andrew Danau",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u4f9b\u5e94\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttps://bugs.php.net/bug.php?id=78599",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-36855",
  "openTime": "2019-10-23",
  "patchDescription": "PHP\uff08PHP\uff1aHypertext Preprocessor\uff0cPHP\uff1a\u8d85\u6587\u672c\u9884\u5904\u7406\u5668\uff09\u662fPHP Group\u548c\u5f00\u653e\u6e90\u4ee3\u7801\u793e\u533a\u5171\u540c\u7ef4\u62a4\u7684\u4e00\u79cd\u5f00\u6e90\u7684\u901a\u7528\u8ba1\u7b97\u673a\u811a\u672c\u8bed\u8a00\u3002 \r\n\r\nPHP\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u901a\u8fc7\u7cbe\u5fc3\u7684\u6784\u9020\u548c\u5229\u7528\uff0c\u53ef\u4ee5\u5bfc\u81f4\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\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": "PHP\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff08CNVD-2019-36855\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "PHP PHP"
  },
  "referenceLink": "https://bugs.php.net/bug.php?id=78599\r\nhttps://lab.wallarm.com/php-remote-code-execution-0-day-discovered-in-real-world-ctf-exercise/\r\nhttps://github.com/neex/phuip-fpizdam",
  "serverity": "\u9ad8",
  "submitTime": "2019-10-23",
  "title": "PHP\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff08CNVD-2019-36855\uff09"
}



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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

Author Source Type Date Other

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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