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CNVD-2017-25893

Vulnerability from cnvd - Published: 2017-09-11
VLAI
Title
Statamic framework访问控制错误漏洞
Description
Statamic framework是一个快速开发框架。该框架能具有快速创建网站页面、创建并管理网站表单等功能。 Statamic framework 2.6.0之前的中存在访问控制错误漏洞,该漏洞源于程序未能正确的检测会话权限。远程攻击者可利用该漏洞重置账户密码。
Severity
Patch Name
Statamic framework访问控制错误漏洞的补丁
Patch Description
Statamic framework是一个快速开发框架。该框架能具有快速创建网站页面、创建并管理网站表单等功能。 Statamic framework 2.6.0之前的中存在访问控制错误漏洞,该漏洞源于程序未能正确的检测会话权限。远程攻击者可利用该漏洞重置账户密码。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://gist.github.com/rambo691/3714c8c09cf894d574d37c294711c49e

Reference
https://nvd.nist.gov/vuln/detail/CVE-2017-11422
Impacted products
Name
Statamic framework <2.6.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-11422"
    }
  },
  "description": "Statamic framework\u662f\u4e00\u4e2a\u5feb\u901f\u5f00\u53d1\u6846\u67b6\u3002\u8be5\u6846\u67b6\u80fd\u5177\u6709\u5feb\u901f\u521b\u5efa\u7f51\u7ad9\u9875\u9762\u3001\u521b\u5efa\u5e76\u7ba1\u7406\u7f51\u7ad9\u8868\u5355\u7b49\u529f\u80fd\u3002\r\n\r\nStatamic framework 2.6.0\u4e4b\u524d\u7684\u4e2d\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u7684\u68c0\u6d4b\u4f1a\u8bdd\u6743\u9650\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u91cd\u7f6e\u8d26\u6237\u5bc6\u7801\u3002",
  "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://gist.github.com/rambo691/3714c8c09cf894d574d37c294711c49e",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-25893",
  "openTime": "2017-09-11",
  "patchDescription": "Statamic framework\u662f\u4e00\u4e2a\u5feb\u901f\u5f00\u53d1\u6846\u67b6\u3002\u8be5\u6846\u67b6\u80fd\u5177\u6709\u5feb\u901f\u521b\u5efa\u7f51\u7ad9\u9875\u9762\u3001\u521b\u5efa\u5e76\u7ba1\u7406\u7f51\u7ad9\u8868\u5355\u7b49\u529f\u80fd\u3002\r\n\r\nStatamic framework 2.6.0\u4e4b\u524d\u7684\u4e2d\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u7684\u68c0\u6d4b\u4f1a\u8bdd\u6743\u9650\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u91cd\u7f6e\u8d26\u6237\u5bc6\u7801\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": "Statamic framework\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Statamic framework \u003c2.6.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-11422",
  "serverity": "\u4e2d",
  "submitTime": "2017-07-25",
  "title": "Statamic framework\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\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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Detection rules are retrieved from Rulezet.

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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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