CNVD-2017-23933

Vulnerability from cnvd - Published: 2017-08-30
VLAI
Title
GLPI 'condition rule'SQL注入漏洞
Description
GLPI是Indepnet协会维护的一款开源的IT资源管理套件。该套件包含设备状态管理、资产清单存储、管理流程和工作日志管理等功能。 GLPI 9.1.5.1之前的版本中的condition rule字段存在SQL注入漏洞。远程攻击者可借助front/rulesengine.test.php文件利用该漏洞执行任意的SQL命令。
Severity
中
Patch Name
GLPI 'condition rule'SQL注入漏洞的补丁
Patch Description
GLPI是Indepnet协会维护的一款开源的IT资源管理套件。该套件包含设备状态管理、资产清单存储、管理流程和工作日志管理等功能。 GLPI 9.1.5.1之前的版本中的condition rule字段存在SQL注入漏洞。远程攻击者可借助front/rulesengine.test.php文件利用该漏洞执行任意的SQL命令。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://github.com/glpi-project/glpi/issues/2476

Reference
https://github.com/glpi-project/glpi/issues/2476
Impacted products
Name
GLPI GLPI <9.1.5.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-11475",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-11475"
    }
  },
  "description": "GLPI\u662fIndepnet\u534f\u4f1a\u7ef4\u62a4\u7684\u4e00\u6b3e\u5f00\u6e90\u7684IT\u8d44\u6e90\u7ba1\u7406\u5957\u4ef6\u3002\u8be5\u5957\u4ef6\u5305\u542b\u8bbe\u5907\u72b6\u6001\u7ba1\u7406\u3001\u8d44\u4ea7\u6e05\u5355\u5b58\u50a8\u3001\u7ba1\u7406\u6d41\u7a0b\u548c\u5de5\u4f5c\u65e5\u5fd7\u7ba1\u7406\u7b49\u529f\u80fd\u3002\r\n\r\nGLPI 9.1.5.1\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684condition rule\u5b57\u6bb5\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9front/rulesengine.test.php\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u7684SQL\u547d\u4ee4\u3002",
  "discovererName": "unknwon",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://github.com/glpi-project/glpi/issues/2476",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-23933",
  "openTime": "2017-08-30",
  "patchDescription": "GLPI\u662fIndepnet\u534f\u4f1a\u7ef4\u62a4\u7684\u4e00\u6b3e\u5f00\u6e90\u7684IT\u8d44\u6e90\u7ba1\u7406\u5957\u4ef6\u3002\u8be5\u5957\u4ef6\u5305\u542b\u8bbe\u5907\u72b6\u6001\u7ba1\u7406\u3001\u8d44\u4ea7\u6e05\u5355\u5b58\u50a8\u3001\u7ba1\u7406\u6d41\u7a0b\u548c\u5de5\u4f5c\u65e5\u5fd7\u7ba1\u7406\u7b49\u529f\u80fd\u3002\r\n\r\nGLPI 9.1.5.1\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u7684condition rule\u5b57\u6bb5\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u501f\u52a9front/rulesengine.test.php\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u7684SQL\u547d\u4ee4\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": "GLPI \u0027condition rule\u0027SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "GLPI GLPI \u003c9.1.5.1"
  },
  "referenceLink": "https://github.com/glpi-project/glpi/issues/2476",
  "serverity": "\u4e2d",
  "submitTime": "2017-07-21",
  "title": "GLPI \u0027condition rule\u0027SQL\u6ce8\u5165\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…

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…