CNVD-2020-24037

Vulnerability from cnvd - Published: 2020-04-21
VLAI
Title
Community输入验证错误漏洞
Description
Piwigo是一套基于Web的开源图片库软件。该软件包括图片管理、图片分类和权限管理等功能。Community是其中的一个支持用户创建相册并添加照片的插件。 Community 2.9.e-beta版本(用于Piwigo)中存在安全漏洞。攻击者可通过操纵‘image_id’参数利用该漏洞设置相册中图片的信息。
Severity
中
Patch Name
Community输入验证错误漏洞的补丁
Patch Description
Piwigo是一套基于Web的开源图片库软件。该软件包括图片管理、图片分类和权限管理等功能。Community是其中的一个支持用户创建相册并添加照片的插件。 Community 2.9.e-beta版本(用于Piwigo)中存在安全漏洞。攻击者可通过操纵‘image_id’参数利用该漏洞设置相册中图片的信息。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://github.com/plegall/Piwigo-community/issues/49

Impacted products
Name
Piwigo Community 2.9.e-beta
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-9468"
    }
  },
  "description": "Piwigo\u662f\u4e00\u5957\u57fa\u4e8eWeb\u7684\u5f00\u6e90\u56fe\u7247\u5e93\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u5305\u62ec\u56fe\u7247\u7ba1\u7406\u3001\u56fe\u7247\u5206\u7c7b\u548c\u6743\u9650\u7ba1\u7406\u7b49\u529f\u80fd\u3002Community\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u652f\u6301\u7528\u6237\u521b\u5efa\u76f8\u518c\u5e76\u6dfb\u52a0\u7167\u7247\u7684\u63d2\u4ef6\u3002\n\nCommunity 2.9.e-beta\u7248\u672c\uff08\u7528\u4e8ePiwigo\uff09\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u64cd\u7eb5\u2018image_id\u2019\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbe\u7f6e\u76f8\u518c\u4e2d\u56fe\u7247\u7684\u4fe1\u606f\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://github.com/plegall/Piwigo-community/issues/49",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-24037",
  "openTime": "2020-04-21",
  "patchDescription": "Piwigo\u662f\u4e00\u5957\u57fa\u4e8eWeb\u7684\u5f00\u6e90\u56fe\u7247\u5e93\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u5305\u62ec\u56fe\u7247\u7ba1\u7406\u3001\u56fe\u7247\u5206\u7c7b\u548c\u6743\u9650\u7ba1\u7406\u7b49\u529f\u80fd\u3002Community\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u652f\u6301\u7528\u6237\u521b\u5efa\u76f8\u518c\u5e76\u6dfb\u52a0\u7167\u7247\u7684\u63d2\u4ef6\u3002\r\n\r\nCommunity 2.9.e-beta\u7248\u672c\uff08\u7528\u4e8ePiwigo\uff09\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u64cd\u7eb5\u2018image_id\u2019\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u8bbe\u7f6e\u76f8\u518c\u4e2d\u56fe\u7247\u7684\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": "Community\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Piwigo Community 2.9.e-beta"
  },
  "serverity": "\u4e2d",
  "submitTime": "2020-03-27",
  "title": "Community\u8f93\u5165\u9a8c\u8bc1\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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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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