GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2015-06102

Vulnerability from cnvd - Published: 2015-09-22
VLAI
Title
PHP ‘serialize_function_call()’函数远程代码执行漏洞
Description
PHP一种开源的通用计算机脚本语言。 PHP ‘serialize_function_call()’函数存在安全漏洞,允许远程攻击者可利用漏洞提交特殊请求,执行任意的代码或进行拒绝服务攻击。
Severity
Patch Name
PHP ‘serialize_function_call()’函数远程代码执行漏洞的补丁
Patch Description
PHP一种开源的通用计算机脚本语言。PHP ‘serialize_function_call()’函数存在安全漏洞,允许远程攻击者可利用漏洞提交特殊请求,执行任意的代码或进行拒绝服务攻击。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

用户可参考如下厂商提供的安全公告获取补丁以修复该漏洞: https://bugs.php.net/bug.php?id=70388

Reference
https://bugs.php.net/bug.php?id=70388 http://www.securityfocus.com/bid/76644
Impacted products
Name
PHP PHP
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "76644"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-6836"
    }
  },
  "description": "PHP\u4e00\u79cd\u5f00\u6e90\u7684\u901a\u7528\u8ba1\u7b97\u673a\u811a\u672c\u8bed\u8a00\u3002\r\n\r\nPHP \u2018serialize_function_call()\u2019\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u8bf7\u6c42\uff0c\u6267\u884c\u4efb\u610f\u7684\u4ee3\u7801\u6216\u8fdb\u884c\u62d2\u7edd\u670d\u52a1\u653b\u51fb\u3002",
  "discovererName": "Andrea Palazzo",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u53d6\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://bugs.php.net/bug.php?id=70388",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-06102",
  "openTime": "2015-09-22",
  "patchDescription": "PHP\u4e00\u79cd\u5f00\u6e90\u7684\u901a\u7528\u8ba1\u7b97\u673a\u811a\u672c\u8bed\u8a00\u3002PHP \u2018serialize_function_call()\u2019\u51fd\u6570\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u63d0\u4ea4\u7279\u6b8a\u8bf7\u6c42\uff0c\u6267\u884c\u4efb\u610f\u7684\u4ee3\u7801\u6216\u8fdb\u884c\u62d2\u7edd\u670d\u52a1\u653b\u51fb\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 \u2018serialize_function_call()\u2019\u51fd\u6570\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "PHP PHP"
  },
  "referenceLink": "https://bugs.php.net/bug.php?id=70388\r\nhttp://www.securityfocus.com/bid/76644",
  "serverity": "\u9ad8",
  "submitTime": "2015-09-20",
  "title": "PHP \u2018serialize_function_call()\u2019\u51fd\u6570\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…