CNVD-2019-00365

Vulnerability from cnvd - Published: 2019-01-04
VLAI
Title
IBM i Access for Windows不可信的搜索路径漏洞
Description
IBM i Access for Windows是美国IBM公司的一套提供访问和使用各种不同的Windows操作系统的桌面资源的客户端解决方案。 IBM i Access for Windows7.1版本中存在不可信的搜索路径漏洞,攻击者可借助当前工作目录中恶意的DLL利用该漏洞执行任意代码。
Severity
中
Patch Name
IBM i Access for Windows不可信的搜索路径漏洞的补丁
Patch Description
IBM i Access for Windows是美国IBM公司的一套提供访问和使用各种不同的Windows操作系统的桌面资源的客户端解决方案。 IBM i Access for Windows7.1版本中存在不可信的搜索路径漏洞,攻击者可借助当前工作目录中恶意的DLL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

厂商已发布了漏洞修复程序,请及时关注更新: https://www-01.ibm.com/support/docview.wss?uid=ibm10740233

Reference
https://www-01.ibm.com/support/docview.wss?uid=ibm10740233
Impacted products
Name
IBM i Access for Windows 7.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-1888"
    }
  },
  "description": "IBM i Access for Windows\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u63d0\u4f9b\u8bbf\u95ee\u548c\u4f7f\u7528\u5404\u79cd\u4e0d\u540c\u7684Windows\u64cd\u4f5c\u7cfb\u7edf\u7684\u684c\u9762\u8d44\u6e90\u7684\u5ba2\u6237\u7aef\u89e3\u51b3\u65b9\u6848\u3002\n\nIBM i Access for Windows7.1\u7248\u672c\u4e2d\u5b58\u5728\u4e0d\u53ef\u4fe1\u7684\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u501f\u52a9\u5f53\u524d\u5de5\u4f5c\u76ee\u5f55\u4e2d\u6076\u610f\u7684DLL\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
  "discovererName": "Evangelos Mourikis",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://www-01.ibm.com/support/docview.wss?uid=ibm10740233",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2019-00365",
  "openTime": "2019-01-04",
  "patchDescription": "IBM i Access for Windows\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u63d0\u4f9b\u8bbf\u95ee\u548c\u4f7f\u7528\u5404\u79cd\u4e0d\u540c\u7684Windows\u64cd\u4f5c\u7cfb\u7edf\u7684\u684c\u9762\u8d44\u6e90\u7684\u5ba2\u6237\u7aef\u89e3\u51b3\u65b9\u6848\u3002\r\n\r\nIBM i Access for Windows7.1\u7248\u672c\u4e2d\u5b58\u5728\u4e0d\u53ef\u4fe1\u7684\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u501f\u52a9\u5f53\u524d\u5de5\u4f5c\u76ee\u5f55\u4e2d\u6076\u610f\u7684DLL\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": "IBM i Access for Windows\u4e0d\u53ef\u4fe1\u7684\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "IBM i Access for Windows 7.1"
  },
  "referenceLink": "https://www-01.ibm.com/support/docview.wss?uid=ibm10740233",
  "serverity": "\u4e2d",
  "submitTime": "2019-01-04",
  "title": "IBM i Access for Windows\u4e0d\u53ef\u4fe1\u7684\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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