Vulnerability-Lookup

CNVD-2017-14901

Vulnerability from cnvd - Published: 2017-07-18

Title

Douroshisetu Kihon Data Sakusei System不可信搜索路径漏洞

Description

Douroshisetu Kihon Data Sakusei System是日本National Institute for Land and Infrastructure Management（国家土地和基础设施管理研究所）发布的一款道路设施基本数据创建系统。 Douroshisetu Kihon Data Sakusei System 1.0.2及之前的版本中存在不可信搜索路径漏洞。攻击者可借助恶意的DLL利用该漏洞获取权限。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： http://www.nilim-cdrw.jp/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-2229

Impacted products

Name
National Institute for Land and Infrastructure Management Douroshisetu Kihon Data Sakusei System <=Ver1.0.2

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2017-2229"
    }
  },
  "description": "Douroshisetu Kihon Data Sakusei System\u662f\u65e5\u672cNational Institute for Land and Infrastructure Management\uff08\u56fd\u5bb6\u571f\u5730\u548c\u57fa\u7840\u8bbe\u65bd\u7ba1\u7406\u7814\u7a76\u6240\uff09\u53d1\u5e03\u7684\u4e00\u6b3e\u9053\u8def\u8bbe\u65bd\u57fa\u672c\u6570\u636e\u521b\u5efa\u7cfb\u7edf\u3002\r\n\r\nDouroshisetu Kihon Data Sakusei System 1.0.2\u53ca\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u5b58\u5728\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u6076\u610f\u7684DLL\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u6743\u9650\u3002",
  "discovererName": "Eili Masami of Tachibana Lab.",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttp://www.nilim-cdrw.jp/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-14901",
  "openTime": "2017-07-18",
  "products": {
    "product": "National Institute for Land and Infrastructure Management Douroshisetu Kihon Data Sakusei System \u003c=Ver1.0.2"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-2229",
  "serverity": "\u4e2d",
  "submitTime": "2017-07-10",
  "title": "Douroshisetu Kihon Data Sakusei System\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e"
}

CVE-2017-2229 (GCVE-0-2017-2229)

Vulnerability from cvelistv5 – Published: 2017-07-07 13:00 – Updated: 2024-08-05 13:48

Summary

Untrusted search path vulnerability in Douroshisetu Kihon Data Sakusei System Ver1.0.2 and earlier allows an attacker to gain privileges via a Trojan horse DLL in an unspecified directory.

Severity

No CVSS data available.

CWE

Untrusted search path vulnerability

Assigner

jpcert jpcert root

References

3 references

URL	Tags
http://www.nilim-cdrw.jp/	x_refsource_MISC
http://www.nilim-cdrw.jp/index_help.html	x_refsource_MISC
http://jvn.jp/en/jp/JVN20409270/index.html	third-party-advisoryx_refsource_JVN

Impacted products

1 product

Vendor	Product	Version
National Institute for Land and Infrastructure Management	Douroshisetu Kihon Data Sakusei System	Affected: Ver1.0.2 and earlier

Date Public

2017-07-04 00:00

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.