CNVD-2021-101183

Vulnerability from cnvd - Published: 2021-12-21
VLAI
Title
ShinHer StudyOnline System授权问题漏洞(CNVD-2021-101183)
Description
ShinHer StudyOnline System是中国欣河(ShinHer)公司的一种校务系统。 ShinHer StudyOnline System存在授权问题漏洞,该漏洞源于ShinHer StudyOnline系统的Study Edit功能不进行权限控制。攻击者可利用该漏洞通过创建URL参数访问和编辑其他用户教程计划。
Severity
Patch Name
ShinHer StudyOnline System授权问题漏洞(CNVD-2021-101183)的补丁
Patch Description
ShinHer StudyOnline System是中国欣河(ShinHer)公司的一种校务系统。 ShinHer StudyOnline System存在授权问题漏洞,该漏洞源于ShinHer StudyOnline系统的Study Edit功能不进行权限控制。攻击者可利用该漏洞通过创建URL参数访问和编辑其他用户教程计划。 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,详情请关注厂商主页: https://www.twcert.org.tw/tw/cp-132-5201-dc534-1.html

Reference
https://www.twcert.org.tw/tw/cp-132-5201-dc534-1.html
Impacted products
Name
ShinHer StudyOnline System v2021
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-42331"
    }
  },
  "description": "ShinHer StudyOnline System\u662f\u4e2d\u56fd\u6b23\u6cb3\uff08ShinHer\uff09\u516c\u53f8\u7684\u4e00\u79cd\u6821\u52a1\u7cfb\u7edf\u3002\n\nShinHer StudyOnline System\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eShinHer StudyOnline\u7cfb\u7edf\u7684Study Edit\u529f\u80fd\u4e0d\u8fdb\u884c\u6743\u9650\u63a7\u5236\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u521b\u5efaURL\u53c2\u6570\u8bbf\u95ee\u548c\u7f16\u8f91\u5176\u4ed6\u7528\u6237\u6559\u7a0b\u8ba1\u5212\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttps://www.twcert.org.tw/tw/cp-132-5201-dc534-1.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-101183",
  "openTime": "2021-12-21",
  "patchDescription": "ShinHer StudyOnline System\u662f\u4e2d\u56fd\u6b23\u6cb3\uff08ShinHer\uff09\u516c\u53f8\u7684\u4e00\u79cd\u6821\u52a1\u7cfb\u7edf\u3002\r\n\r\nShinHer StudyOnline System\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eShinHer StudyOnline\u7cfb\u7edf\u7684Study Edit\u529f\u80fd\u4e0d\u8fdb\u884c\u6743\u9650\u63a7\u5236\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u521b\u5efaURL\u53c2\u6570\u8bbf\u95ee\u548c\u7f16\u8f91\u5176\u4ed6\u7528\u6237\u6559\u7a0b\u8ba1\u5212\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": "ShinHer StudyOnline System\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2021-101183\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "ShinHer StudyOnline System v2021"
  },
  "referenceLink": "https://www.twcert.org.tw/tw/cp-132-5201-dc534-1.html",
  "serverity": "\u4e2d",
  "submitTime": "2021-10-19",
  "title": "ShinHer StudyOnline System\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff08CNVD-2021-101183\uff09"
}



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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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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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