CNVD-2022-12760

Vulnerability from cnvd - Published: 2022-02-20
VLAI
Title
pimcore信息泄露漏洞
Description
Pimcore是奥地利Pimcore公司的一套开源的用于创建和管理Web应用程序的Web内容管理平台。该平台集成了Web内容管理、电子商务框架和产品信息管理等应用。 pimcore存在信息泄露漏洞,该漏洞源于10.3.1之前的Packagist pimcore中将敏感信息暴露给未经授权的参与者。 目前没有详细的漏洞细节提供。
Severity
Patch Name
pimcore信息泄露漏洞的补丁
Patch Description
Pimcore是奥地利Pimcore公司的一套开源的用于创建和管理Web应用程序的Web内容管理平台。该平台集成了Web内容管理、电子商务框架和产品信息管理等应用。 pimcore存在信息泄露漏洞,该漏洞源于10.3.1之前的Packagist pimcore中将敏感信息暴露给未经授权的参与者。目前没有详细的漏洞细节提供。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/pimcore/pimcore/commit/7697f709a501860144352696e583a2533a6e1245

Reference
https://huntr.dev/bounties/b0b29656-4bbe-41cf-92f6-8579df0b6de5
Impacted products
Name
Pimcore Pimcore <10.3.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2022-0565"
    }
  },
  "description": "Pimcore\u662f\u5965\u5730\u5229Pimcore\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u7528\u4e8e\u521b\u5efa\u548c\u7ba1\u7406Web\u5e94\u7528\u7a0b\u5e8f\u7684Web\u5185\u5bb9\u7ba1\u7406\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u96c6\u6210\u4e86Web\u5185\u5bb9\u7ba1\u7406\u3001\u7535\u5b50\u5546\u52a1\u6846\u67b6\u548c\u4ea7\u54c1\u4fe1\u606f\u7ba1\u7406\u7b49\u5e94\u7528\u3002\n\npimcore\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e10.3.1\u4e4b\u524d\u7684Packagist pimcore\u4e2d\u5c06\u654f\u611f\u4fe1\u606f\u66b4\u9732\u7ed9\u672a\u7ecf\u6388\u6743\u7684\u53c2\u4e0e\u8005\u3002 \u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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/pimcore/pimcore/commit/7697f709a501860144352696e583a2533a6e1245",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-12760",
  "openTime": "2022-02-20",
  "patchDescription": "Pimcore\u662f\u5965\u5730\u5229Pimcore\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u7528\u4e8e\u521b\u5efa\u548c\u7ba1\u7406Web\u5e94\u7528\u7a0b\u5e8f\u7684Web\u5185\u5bb9\u7ba1\u7406\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u96c6\u6210\u4e86Web\u5185\u5bb9\u7ba1\u7406\u3001\u7535\u5b50\u5546\u52a1\u6846\u67b6\u548c\u4ea7\u54c1\u4fe1\u606f\u7ba1\u7406\u7b49\u5e94\u7528\u3002\r\n\r\npimcore\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e10.3.1\u4e4b\u524d\u7684Packagist pimcore\u4e2d\u5c06\u654f\u611f\u4fe1\u606f\u66b4\u9732\u7ed9\u672a\u7ecf\u6388\u6743\u7684\u53c2\u4e0e\u8005\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "pimcore\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Pimcore Pimcore \u003c10.3.1"
  },
  "referenceLink": "https://huntr.dev/bounties/b0b29656-4bbe-41cf-92f6-8579df0b6de5",
  "serverity": "\u4e2d",
  "submitTime": "2022-02-16",
  "title": "pimcore\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

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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.
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  • 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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