CNVD-2018-20063

Vulnerability from cnvd - Published: 2018-09-28
VLAI
Title
Circontrol CirCarLife信息泄露漏洞(CNVD-2018-20063)
Description
Circontrol CirCarLife是西班牙Circontrol公司的一套停车场自动化管理系统。 Circontrol CirCarLife 4.3之前版本中存在安全漏洞,该漏洞源于程序将敏感信息元素以JSON格式存储在/services/system/setup.json文件中。攻击者可利用该漏洞泄露设置信息。
Severity
中
Patch Name
Circontrol CirCarLife信息泄露漏洞(CNVD-2018-20063)的补丁
Patch Description
Circontrol CirCarLife是西班牙Circontrol公司的一套停车场自动化管理系统。 Circontrol CirCarLife 4.3之前版本中存在安全漏洞,该漏洞源于程序将敏感信息元素以JSON格式存储在/services/system/setup.json文件中。攻击者可利用该漏洞泄露设置信息。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: https://circontrol.com/

Reference
https://github.com/SadFud/Exploits/tree/master/Real%20World/Suites/cir-pwn-life
Impacted products
Name
Circontrol CirCarLife <4.3
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-16672"
    }
  },
  "description": "Circontrol CirCarLife\u662f\u897f\u73ed\u7259Circontrol\u516c\u53f8\u7684\u4e00\u5957\u505c\u8f66\u573a\u81ea\u52a8\u5316\u7ba1\u7406\u7cfb\u7edf\u3002\r\n\r\nCircontrol CirCarLife 4.3\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u5c06\u654f\u611f\u4fe1\u606f\u5143\u7d20\u4ee5JSON\u683c\u5f0f\u5b58\u50a8\u5728/services/system/setup.json\u6587\u4ef6\u4e2d\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u8bbe\u7f6e\u4fe1\u606f\u3002",
  "discovererName": "unKnow",
  "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\nhttps://circontrol.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-20063",
  "openTime": "2018-09-28",
  "patchDescription": "Circontrol CirCarLife\u662f\u897f\u73ed\u7259Circontrol\u516c\u53f8\u7684\u4e00\u5957\u505c\u8f66\u573a\u81ea\u52a8\u5316\u7ba1\u7406\u7cfb\u7edf\u3002\r\n\r\nCircontrol CirCarLife 4.3\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u5c06\u654f\u611f\u4fe1\u606f\u5143\u7d20\u4ee5JSON\u683c\u5f0f\u5b58\u50a8\u5728/services/system/setup.json\u6587\u4ef6\u4e2d\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6cc4\u9732\u8bbe\u7f6e\u4fe1\u606f\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": "Circontrol CirCarLife\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2018-20063\uff09\u7684\u8865\u4e01",
  "products": {
    "product": "Circontrol CirCarLife \u003c4.3"
  },
  "referenceLink": "https://github.com/SadFud/Exploits/tree/master/Real%20World/Suites/cir-pwn-life",
  "serverity": "\u4e2d",
  "submitTime": "2018-09-28",
  "title": "Circontrol CirCarLife\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff08CNVD-2018-20063\uff09"
}



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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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