CNVD-2020-25938

Vulnerability from cnvd - Published: 2020-04-30
VLAI
Title
PrestaShop输入验证错误漏洞
Description
PrestaShop是美国PrestaShop公司的一套开源的电子商务解决方案。该方案提供多种支付方式、短消息提醒和商品图片缩放等功能。 PrestaShop 1.7.6.0之后版本(1.7.6.5版本已修复)中的‘back’参数存在输入验证错误漏洞。攻击者可利用该漏洞将用户重定向恶意的网站或获取敏感信息和凭证。
Severity
Patch Name
PrestaShop输入验证错误漏洞的补丁
Patch Description
PrestaShop是美国PrestaShop公司的一套开源的电子商务解决方案。该方案提供多种支付方式、短消息提醒和商品图片缩放等功能。 PrestaShop 1.7.6.0之后版本(1.7.6.5版本已修复)中的‘back’参数存在输入验证错误漏洞。攻击者可利用该漏洞将用户重定向恶意的网站或获取敏感信息和凭证。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/PrestaShop/PrestaShop/security/advisories/GHSA-87jh-7xpg-6v93

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-5270
Impacted products
Name
PrestaShop PrestaShop >1.7.6.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-5270"
    }
  },
  "description": "PrestaShop\u662f\u7f8e\u56fdPrestaShop\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u7535\u5b50\u5546\u52a1\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u65b9\u6848\u63d0\u4f9b\u591a\u79cd\u652f\u4ed8\u65b9\u5f0f\u3001\u77ed\u6d88\u606f\u63d0\u9192\u548c\u5546\u54c1\u56fe\u7247\u7f29\u653e\u7b49\u529f\u80fd\u3002\n\nPrestaShop 1.7.6.0\u4e4b\u540e\u7248\u672c\uff081.7.6.5\u7248\u672c\u5df2\u4fee\u590d\uff09\u4e2d\u7684\u2018back\u2019\u53c2\u6570\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u7528\u6237\u91cd\u5b9a\u5411\u6076\u610f\u7684\u7f51\u7ad9\u6216\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u548c\u51ed\u8bc1\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/PrestaShop/PrestaShop/security/advisories/GHSA-87jh-7xpg-6v93",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-25938",
  "openTime": "2020-04-30",
  "patchDescription": "PrestaShop\u662f\u7f8e\u56fdPrestaShop\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u7535\u5b50\u5546\u52a1\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u65b9\u6848\u63d0\u4f9b\u591a\u79cd\u652f\u4ed8\u65b9\u5f0f\u3001\u77ed\u6d88\u606f\u63d0\u9192\u548c\u5546\u54c1\u56fe\u7247\u7f29\u653e\u7b49\u529f\u80fd\u3002\r\n\r\nPrestaShop 1.7.6.0\u4e4b\u540e\u7248\u672c\uff081.7.6.5\u7248\u672c\u5df2\u4fee\u590d\uff09\u4e2d\u7684\u2018back\u2019\u53c2\u6570\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06\u7528\u6237\u91cd\u5b9a\u5411\u6076\u610f\u7684\u7f51\u7ad9\u6216\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u548c\u51ed\u8bc1\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": "PrestaShop\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "PrestaShop PrestaShop \u003e1.7.6.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-5270",
  "serverity": "\u4e2d",
  "submitTime": "2020-04-21",
  "title": "PrestaShop\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

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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 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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