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CNVD-2019-40823

Vulnerability from cnvd - Published: 2019-11-15
VLAI
Title
Micronet INplc SDK不受信任搜索路径漏洞
Description
Micronet INplc SDK是日本Micronet公司的一款软件定义的PLC(可编程逻辑控制器)开发工具包。 Micronet INplc SDK Express 3.08及之前版本和Pro+ 3.08及之前版本中存在不受信任搜索路径漏洞。攻击者可利用该漏洞执行任意代码。
Severity
Patch Name
Micronet INplc SDK不受信任搜索路径漏洞的补丁
Patch Description
Micronet INplc SDK是日本Micronet公司的一款软件定义的PLC(可编程逻辑控制器)开发工具包。 Micronet INplc SDK Express 3.08及之前版本和Pro+ 3.08及之前版本中存在不受信任搜索路径漏洞。攻击者可利用该漏洞执行任意代码。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.mnc.co.jp/INplc/info_20180907_E.htm

Reference
http://www.mnc.co.jp/INplc/info_20180907_E.htm
Impacted products
Name
['Micronet INplc SDK <=Pro+ 3.08', 'Micronet INplc SDK <=Express 3.08']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-0667",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-0667"
    }
  },
  "description": "Micronet INplc SDK\u662f\u65e5\u672cMicronet\u516c\u53f8\u7684\u4e00\u6b3e\u8f6f\u4ef6\u5b9a\u4e49\u7684PLC\uff08\u53ef\u7f16\u7a0b\u903b\u8f91\u63a7\u5236\u5668\uff09\u5f00\u53d1\u5de5\u5177\u5305\u3002\nMicronet INplc SDK Express 3.08\u53ca\u4e4b\u524d\u7248\u672c\u548cPro+ 3.08\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u4e0d\u53d7\u4fe1\u4efb\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\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://www.mnc.co.jp/INplc/info_20180907_E.htm",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-40823",
  "openTime": "2019-11-15",
  "patchDescription": "Micronet INplc SDK\u662f\u65e5\u672cMicronet\u516c\u53f8\u7684\u4e00\u6b3e\u8f6f\u4ef6\u5b9a\u4e49\u7684PLC\uff08\u53ef\u7f16\u7a0b\u903b\u8f91\u63a7\u5236\u5668\uff09\u5f00\u53d1\u5de5\u5177\u5305\u3002\r\nMicronet INplc SDK Express 3.08\u53ca\u4e4b\u524d\u7248\u672c\u548cPro+ 3.08\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u4e0d\u53d7\u4fe1\u4efb\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\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": "Micronet INplc SDK\u4e0d\u53d7\u4fe1\u4efb\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Micronet INplc SDK \u003c=Pro+ 3.08",
      "Micronet INplc SDK \u003c=Express 3.08"
    ]
  },
  "referenceLink": "http://www.mnc.co.jp/INplc/info_20180907_E.htm",
  "serverity": "\u4e2d",
  "submitTime": "2018-09-12",
  "title": "Micronet INplc SDK\u4e0d\u53d7\u4fe1\u4efb\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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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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