CNVD-2015-07319

Vulnerability from cnvd - Published: 2015-11-06
VLAI
Title
Drupal Entity Registration模块信息泄露漏洞
Description
Drupal是Drupal社区所维护的一套用PHP语言开发的免费、开源的内容管理系统。Entity Registration是其中的一个用户登记注册模块。 Drupal Entity Registration模块7.x-1.6之前7.x-1.x版本中存在信息泄露漏洞。攻击者可利用该漏洞获取敏感信息。
Severity
Patch Name
Drupal Entity Registration模块信息泄露漏洞的补丁
Patch Description
Drupal是Drupal社区所维护的一套用PHP语言开发的免费、开源的内容管理系统。Entity Registration是其中的一个用户登记注册模块。 Drupal Entity Registration模块7.x-1.6之前7.x-1.x版本中存在信息泄露漏洞。攻击者可利用该漏洞获取敏感信息。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://www.drupal.org/

Reference
http://www.securityfocus.com/bid/77023
Impacted products
Name
Drupal Entity Registration 7.x-1.x(<7.x-1.6)
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "77023"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-7880"
    }
  },
  "description": "Drupal\u662fDrupal\u793e\u533a\u6240\u7ef4\u62a4\u7684\u4e00\u5957\u7528PHP\u8bed\u8a00\u5f00\u53d1\u7684\u514d\u8d39\u3001\u5f00\u6e90\u7684\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\u3002Entity Registration\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u7528\u6237\u767b\u8bb0\u6ce8\u518c\u6a21\u5757\u3002\r\n\r\nDrupal Entity Registration\u6a21\u57577.x-1.6\u4e4b\u524d7.x-1.x\u7248\u672c\u4e2d\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "Caroline Boyden",
  "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://www.drupal.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-07319",
  "openTime": "2015-11-06",
  "patchDescription": "Drupal\u662fDrupal\u793e\u533a\u6240\u7ef4\u62a4\u7684\u4e00\u5957\u7528PHP\u8bed\u8a00\u5f00\u53d1\u7684\u514d\u8d39\u3001\u5f00\u6e90\u7684\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\u3002Entity Registration\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u7528\u6237\u767b\u8bb0\u6ce8\u518c\u6a21\u5757\u3002\r\nDrupal Entity Registration\u6a21\u57577.x-1.6\u4e4b\u524d7.x-1.x\u7248\u672c\u4e2d\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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": "Drupal Entity Registration\u6a21\u5757\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Drupal Entity Registration 7.x-1.x(\u003c7.x-1.6)"
  },
  "referenceLink": "http://www.securityfocus.com/bid/77023",
  "serverity": "\u4e2d",
  "submitTime": "2015-11-05",
  "title": "Drupal Entity Registration\u6a21\u5757\u4fe1\u606f\u6cc4\u9732\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

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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