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CNVD-2017-10795

Vulnerability from cnvd - Published: 2017-06-22
VLAI
Title
Sharp RW-4040 driver installer for Windows不可信搜索路径漏洞
Description
Sharp RW-4040 driver installer for Windows是日本夏普(Sharp)公司的一个基于Windows的IC卡读写器的驱动安装程序。 Sharp RW-4040 driver installer for Windows 7 2.27版本中存在不可信搜索路径漏洞。攻击者可借助目录下恶意的DLL利用该漏洞获取权限。
Severity
Patch Name
Sharp RW-4040 driver installer for Windows不可信搜索路径漏洞的补丁
Patch Description
Sharp RW-4040 driver installer for Windows是日本夏普(Sharp)公司的一个基于Windows的IC卡读写器的驱动安装程序。 Sharp RW-4040 driver installer for Windows 7 2.27版本中存在不可信搜索路径漏洞。攻击者可借助目录下恶意的DLL利用该漏洞获取权限。 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://www.sharp.co.jp/support/iccrw/index.html

Reference
http://jvn.jp/en/jp/JVN51274854/
Impacted products
Name
Sharp RW-4040 driver installer for Windows 7 2.27
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-2189"
    }
  },
  "description": "Sharp RW-4040 driver installer for Windows\u662f\u65e5\u672c\u590f\u666e\uff08Sharp\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u57fa\u4e8eWindows\u7684IC\u5361\u8bfb\u5199\u5668\u7684\u9a71\u52a8\u5b89\u88c5\u7a0b\u5e8f\u3002\r\n\r\nSharp RW-4040 driver installer for Windows 7 2.27\u7248\u672c\u4e2d\u5b58\u5728\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u76ee\u5f55\u4e0b\u6076\u610f\u7684DLL\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u6743\u9650\u3002",
  "discovererName": "Yuji Tounai of NTT Communications Corporation",
  "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://www.sharp.co.jp/support/iccrw/index.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-10795",
  "openTime": "2017-06-22",
  "patchDescription": "Sharp RW-4040 driver installer for Windows\u662f\u65e5\u672c\u590f\u666e\uff08Sharp\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u57fa\u4e8eWindows\u7684IC\u5361\u8bfb\u5199\u5668\u7684\u9a71\u52a8\u5b89\u88c5\u7a0b\u5e8f\u3002\r\n\r\nSharp RW-4040 driver installer for Windows 7 2.27\u7248\u672c\u4e2d\u5b58\u5728\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u76ee\u5f55\u4e0b\u6076\u610f\u7684DLL\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u6743\u9650\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": "Sharp RW-4040 driver installer for Windows\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Sharp RW-4040 driver installer for Windows 7 2.27"
  },
  "referenceLink": "http://jvn.jp/en/jp/JVN51274854/",
  "serverity": "\u4e2d",
  "submitTime": "2017-06-02",
  "title": "Sharp RW-4040 driver installer for Windows\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\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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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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