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CNVD-2020-51752

Vulnerability from cnvd - Published: 2020-09-11
VLAI
Title
Raonwiz CyMiInstaller322 ActiveX代码问题漏洞
Description
Raonwiz CyMiInstaller322 ActiveX是韩国Raonwiz公司的一款版本控制程序。 Raonwiz CyMiInstaller322 ActiveX 2016.5.26.1及之前版本中的文件下载存在安全漏洞,该漏洞源于程序未能充分执行验证操作。攻击者可利用该漏洞加载随机生成的DLL文件。
Severity
Patch Name
Raonwiz CyMiInstaller322 ActiveX代码问题漏洞的补丁
Patch Description
Raonwiz CyMiInstaller322 ActiveX是韩国Raonwiz公司的一款版本控制程序。 Raonwiz CyMiInstaller322 ActiveX 2016.5.26.1及之前版本中的文件下载存在安全漏洞,该漏洞源于程序未能充分执行验证操作。攻击者可利用该漏洞加载随机生成的DLL文件。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: http://www.raonwiz.com/

Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-19161
Impacted products
Name
Raonwiz CyMiInstaller322 ActiveX <=2016.5.26.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-19161"
    }
  },
  "description": "Raonwiz CyMiInstaller322 ActiveX\u662f\u97e9\u56fdRaonwiz\u516c\u53f8\u7684\u4e00\u6b3e\u7248\u672c\u63a7\u5236\u7a0b\u5e8f\u3002\n\nRaonwiz CyMiInstaller322 ActiveX 2016.5.26.1\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u7684\u6587\u4ef6\u4e0b\u8f7d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5145\u5206\u6267\u884c\u9a8c\u8bc1\u64cd\u4f5c\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u52a0\u8f7d\u968f\u673a\u751f\u6210\u7684DLL\u6587\u4ef6\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\nhttp://www.raonwiz.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-51752",
  "openTime": "2020-09-11",
  "patchDescription": "Raonwiz CyMiInstaller322 ActiveX\u662f\u97e9\u56fdRaonwiz\u516c\u53f8\u7684\u4e00\u6b3e\u7248\u672c\u63a7\u5236\u7a0b\u5e8f\u3002\r\n\r\nRaonwiz CyMiInstaller322 ActiveX 2016.5.26.1\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u7684\u6587\u4ef6\u4e0b\u8f7d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u5145\u5206\u6267\u884c\u9a8c\u8bc1\u64cd\u4f5c\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u52a0\u8f7d\u968f\u673a\u751f\u6210\u7684DLL\u6587\u4ef6\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": "Raonwiz CyMiInstaller322 ActiveX\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Raonwiz CyMiInstaller322 ActiveX \u003c=2016.5.26.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-19161",
  "serverity": "\u4e2d",
  "submitTime": "2020-07-01",
  "title": "Raonwiz CyMiInstaller322 ActiveX\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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