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CNVD-2021-51813

Vulnerability from cnvd - Published: 2021-07-19
VLAI
Title
DaviewIndy存在未明漏洞
Description
DaviewIndy是一款文档查看应用程序。该程序支持多种格式文档和图像的查看。 DaviewIndy v8.98.7.0及更早版本存在安全漏洞,攻击者可利用该漏洞进行任意代码执行。
Severity
Patch Name
DaviewIndy存在未明漏洞的补丁
Patch Description
DaviewIndy是一款文档查看应用程序。该程序支持多种格式文档和图像的查看。 DaviewIndy v8.98.7.0及更早版本存在安全漏洞,攻击者可利用该漏洞进行任意代码执行。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: http://datools.kr/zeroboard/view.php?id=datools_notice&page=5&sn1=&divpage=1&sn=off&ss=on&sc=on&select_arrange=headnum&desc=asc&no=506

Reference
http://datools.kr/zeroboard/view.php?id=datools_notice&page=5&sn1=&divpage=1&sn=off&ss=on&sc=on&select_arrange=headnum&desc=asc&no=506
Impacted products
Name
HumanTalk DaviewIndy <=v8.98.7.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-7872",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-7872"
    }
  },
  "description": "DaviewIndy\u662f\u4e00\u6b3e\u6587\u6863\u67e5\u770b\u5e94\u7528\u7a0b\u5e8f\u3002\u8be5\u7a0b\u5e8f\u652f\u6301\u591a\u79cd\u683c\u5f0f\u6587\u6863\u548c\u56fe\u50cf\u7684\u67e5\u770b\u3002\n\nDaviewIndy v8.98.7.0\u53ca\u66f4\u65e9\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8fdb\u884c\u4efb\u610f\u4ee3\u7801\u6267\u884c\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\nhttp://datools.kr/zeroboard/view.php?id=datools_notice\u0026page=5\u0026sn1=\u0026divpage=1\u0026sn=off\u0026ss=on\u0026sc=on\u0026select_arrange=headnum\u0026desc=asc\u0026no=506",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-51813",
  "openTime": "2021-07-19",
  "patchDescription": "DaviewIndy\u662f\u4e00\u6b3e\u6587\u6863\u67e5\u770b\u5e94\u7528\u7a0b\u5e8f\u3002\u8be5\u7a0b\u5e8f\u652f\u6301\u591a\u79cd\u683c\u5f0f\u6587\u6863\u548c\u56fe\u50cf\u7684\u67e5\u770b\u3002\r\n\r\nDaviewIndy v8.98.7.0\u53ca\u66f4\u65e9\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u8fdb\u884c\u4efb\u610f\u4ee3\u7801\u6267\u884c\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": "DaviewIndy\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "HumanTalk DaviewIndy \u003c=v8.98.7.0"
  },
  "referenceLink": "http://datools.kr/zeroboard/view.php?id=datools_notice\u0026page=5\u0026sn1=\u0026divpage=1\u0026sn=off\u0026ss=on\u0026sc=on\u0026select_arrange=headnum\u0026desc=asc\u0026no=506",
  "serverity": "\u4e2d",
  "submitTime": "2021-07-15",
  "title": "DaviewIndy\u5b58\u5728\u672a\u660e\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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