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CNVD-2019-31234

Vulnerability from cnvd - Published: 2019-09-12
VLAI
Title
Epignosis eFront LMS代码问题漏洞
Description
Epignosis eFront LMS是美国Epignosis公司的一套在线电子学习平台。该平台提供测试构建、作业管理、内部消息传递、论坛和在线聊天等功能。 Epignosis eFront LMS 5.2.12版本中存在代码问题漏洞,攻击者可借助特制的Web请求利用该漏洞执行PHP代码。
Severity
Patch Name
Epignosis eFront LMS代码问题漏洞的补丁
Patch Description
Epignosis eFront LMS是美国Epignosis公司的一套在线电子学习平台。该平台提供测试构建、作业管理、内部消息传递、论坛和在线聊天等功能。 Epignosis eFront LMS 5.2.12版本中存在代码问题漏洞,攻击者可借助特制的Web请求利用该漏洞执行PHP代码。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.efrontlearning.com/

Reference
https://www.talosintelligence.com/vulnerability_reports/TALOS-2019-0858
Impacted products
Name
Epignosis eFront LMS 5.2.12
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-5069"
    }
  },
  "description": "Epignosis eFront LMS\u662f\u7f8e\u56fdEpignosis\u516c\u53f8\u7684\u4e00\u5957\u5728\u7ebf\u7535\u5b50\u5b66\u4e60\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u63d0\u4f9b\u6d4b\u8bd5\u6784\u5efa\u3001\u4f5c\u4e1a\u7ba1\u7406\u3001\u5185\u90e8\u6d88\u606f\u4f20\u9012\u3001\u8bba\u575b\u548c\u5728\u7ebf\u804a\u5929\u7b49\u529f\u80fd\u3002\n\nEpignosis eFront LMS 5.2.12\u7248\u672c\u4e2d\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684Web\u8bf7\u6c42\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884cPHP\u4ee3\u7801\u3002",
  "discovererName": "Yuri Kramarz",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://www.efrontlearning.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-31234",
  "openTime": "2019-09-12",
  "patchDescription": "Epignosis eFront LMS\u662f\u7f8e\u56fdEpignosis\u516c\u53f8\u7684\u4e00\u5957\u5728\u7ebf\u7535\u5b50\u5b66\u4e60\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u63d0\u4f9b\u6d4b\u8bd5\u6784\u5efa\u3001\u4f5c\u4e1a\u7ba1\u7406\u3001\u5185\u90e8\u6d88\u606f\u4f20\u9012\u3001\u8bba\u575b\u548c\u5728\u7ebf\u804a\u5929\u7b49\u529f\u80fd\u3002\r\n\r\nEpignosis eFront LMS 5.2.12\u7248\u672c\u4e2d\u5b58\u5728\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684Web\u8bf7\u6c42\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884cPHP\u4ee3\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 eFront LMS\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Epignosis eFront LMS 5.2.12"
  },
  "referenceLink": "https://www.talosintelligence.com/vulnerability_reports/TALOS-2019-0858",
  "serverity": "\u4e2d",
  "submitTime": "2019-09-05",
  "title": "Epignosis eFront LMS\u4ee3\u7801\u95ee\u9898\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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