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CNVD-2021-16917

Vulnerability from cnvd - Published: 2021-03-12
VLAI
Title
Epignosis EfrontPro密码重置漏洞
Description
Epignosis EfrontPro是美国Epignosis公司的一个应用软件。提供最苛刻和最复杂的学习生态系统而设计的企业学习管理系统求。 Epignosis EfrontPro 5.2.21版本存在安全漏洞,攻击者可利用该漏洞可以访问密码重置,提供密码重置令牌来重置他们选择的帐户的密码。
Severity
Patch Name
Epignosis EfrontPro密码重置漏洞的补丁
Patch Description
Epignosis EfrontPro是美国Epignosis公司的一个应用软件。提供最苛刻和最复杂的学习生态系统而设计的企业学习管理系统求。 Epignosis EfrontPro 5.2.21版本存在安全漏洞,攻击者可利用该漏洞可以访问密码重置,提供密码重置令牌来重置他们选择的帐户的密码。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

厂商已发布了漏洞修复程序,请及时关注更新:https://www.epignosishq.com/products/efront/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-28597
Impacted products
Name
Epignosis Epignosis EfrontPro 5.2.21
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-28597",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-28597"
    }
  },
  "description": "Epignosis EfrontPro\u662f\u7f8e\u56fdEpignosis\u516c\u53f8\u7684\u4e00\u4e2a\u5e94\u7528\u8f6f\u4ef6\u3002\u63d0\u4f9b\u6700\u82db\u523b\u548c\u6700\u590d\u6742\u7684\u5b66\u4e60\u751f\u6001\u7cfb\u7edf\u800c\u8bbe\u8ba1\u7684\u4f01\u4e1a\u5b66\u4e60\u7ba1\u7406\u7cfb\u7edf\u6c42\u3002\n\nEpignosis EfrontPro 5.2.21\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u8bbf\u95ee\u5bc6\u7801\u91cd\u7f6e\uff0c\u63d0\u4f9b\u5bc6\u7801\u91cd\u7f6e\u4ee4\u724c\u6765\u91cd\u7f6e\u4ed6\u4eec\u9009\u62e9\u7684\u5e10\u6237\u7684\u5bc6\u7801\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1ahttps://www.epignosishq.com/products/efront/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-16917",
  "openTime": "2021-03-12",
  "patchDescription": "Epignosis EfrontPro\u662f\u7f8e\u56fdEpignosis\u516c\u53f8\u7684\u4e00\u4e2a\u5e94\u7528\u8f6f\u4ef6\u3002\u63d0\u4f9b\u6700\u82db\u523b\u548c\u6700\u590d\u6742\u7684\u5b66\u4e60\u751f\u6001\u7cfb\u7edf\u800c\u8bbe\u8ba1\u7684\u4f01\u4e1a\u5b66\u4e60\u7ba1\u7406\u7cfb\u7edf\u6c42\u3002\r\n\r\nEpignosis EfrontPro 5.2.21\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u8bbf\u95ee\u5bc6\u7801\u91cd\u7f6e\uff0c\u63d0\u4f9b\u5bc6\u7801\u91cd\u7f6e\u4ee4\u724c\u6765\u91cd\u7f6e\u4ed6\u4eec\u9009\u62e9\u7684\u5e10\u6237\u7684\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": "Epignosis EfrontPro\u5bc6\u7801\u91cd\u7f6e\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Epignosis Epignosis EfrontPro 5.2.21"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-28597",
  "serverity": "\u4e2d",
  "submitTime": "2021-03-05",
  "title": "Epignosis EfrontPro\u5bc6\u7801\u91cd\u7f6e\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.
  • 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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