CNVD-2019-31238

Vulnerability from cnvd - Published: 2019-09-12
VLAI
Title
Epignosis eFront LMS SQL注入漏洞
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及之前版本中存在SQL注入漏洞,攻击者可利用该漏洞执行非法SQL命令。
Severity
中
Patch Name
Epignosis eFront LMS SQL注入漏洞的补丁
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及之前版本中存在SQL注入漏洞,攻击者可利用该漏洞执行非法SQL命令。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-2019-0859
Impacted products
Name
Epignosis eFront LMS <=5.2.12
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-5070"
    }
  },
  "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\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u975e\u6cd5SQL\u547d\u4ee4\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-2019-31238",
  "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\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u975e\u6cd5SQL\u547d\u4ee4\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 SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Epignosis eFront LMS \u003c=5.2.12"
  },
  "referenceLink": "https://www.talosintelligence.com/vulnerability_reports/TALOS-2019-0859",
  "serverity": "\u4e2d",
  "submitTime": "2019-09-05",
  "title": "Epignosis eFront LMS SQL\u6ce8\u5165\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

Loading…

Loading…

Loading…

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.


Loading…