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JVNDB-2022-000086

Vulnerability from jvndb - Published: 2022-11-10 04:40 - Updated:2024-06-06 08:37
Severity
Summary
Aiphone Video Multi-Tenant System Entrance Stations vulnerable to information disclosure
Details
Video Multi-Tenant System Entrance Stations provided by AIPHONE CO., LTD. contain an information disclosure vulnerability (CWE-200). Cameron Palmer of PROMON reported this vulnerability to Aiphone Co., Ltd. and coordinated. Aiphone Co., Ltd. and JPCERT/CC published respective advisories in order to notify users of this vulnerability.
Show details on JVN DB website

{
  "@rdf:about": "https://jvndb.jvn.jp/en/contents/2022/JVNDB-2022-000086.html",
  "dc:date": "2024-06-06T17:37+09:00",
  "dcterms:issued": "2022-11-10T13:40+09:00",
  "dcterms:modified": "2024-06-06T17:37+09:00",
  "description": "Video Multi-Tenant System Entrance Stations provided by AIPHONE CO., LTD. contain an information disclosure vulnerability (CWE-200).\r\n\r\nCameron Palmer of PROMON reported this vulnerability to Aiphone Co., Ltd. and coordinated. Aiphone Co., Ltd. and JPCERT/CC published respective advisories in order to notify users of this vulnerability.",
  "link": "https://jvndb.jvn.jp/en/contents/2022/JVNDB-2022-000086.html",
  "sec:cpe": [
    {
      "#text": "cpe:/o:aiphone:gt-db-vn_firmware",
      "@product": "GT-DB-VN",
      "@vendor": "AIPHONE CO., LTD.",
      "@version": "2.2"
    },
    {
      "#text": "cpe:/o:aiphone:gt-dmb-lvn_firmware",
      "@product": "GT-DMB-LVN",
      "@vendor": "AIPHONE CO., LTD.",
      "@version": "2.2"
    },
    {
      "#text": "cpe:/o:aiphone:gt-dmb-n_firmware",
      "@product": "GT-DMB-N",
      "@vendor": "AIPHONE CO., LTD.",
      "@version": "2.2"
    },
    {
      "#text": "cpe:/o:aiphone:gt-dmb_firmware",
      "@product": "GT-DMB",
      "@vendor": "AIPHONE CO., LTD.",
      "@version": "2.2"
    }
  ],
  "sec:cvss": [
    {
      "@score": "2.9",
      "@severity": "Low",
      "@type": "Base",
      "@vector": "AV:A/AC:M/Au:N/C:P/I:N/A:N",
      "@version": "2.0"
    },
    {
      "@score": "4.3",
      "@severity": "Medium",
      "@type": "Base",
      "@vector": "CVSS:3.0/AV:A/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
      "@version": "3.0"
    }
  ],
  "sec:identifier": "JVNDB-2022-000086",
  "sec:references": [
    {
      "#text": "http://jvn.jp/en/jp/JVN75437943/index.html",
      "@id": "JVN#75437943",
      "@source": "JVN"
    },
    {
      "#text": "https://www.cve.org/CVERecord?id=CVE-2022-40903",
      "@id": "CVE-2022-40903",
      "@source": "CVE"
    },
    {
      "#text": "https://nvd.nist.gov/vuln/detail/CVE-2022-40903",
      "@id": "CVE-2022-40903",
      "@source": "NVD"
    },
    {
      "#text": "https://www.ipa.go.jp/en/security/vulnerabilities/cwe.html",
      "@id": "CWE-200",
      "@title": "Information Exposure(CWE-200)"
    }
  ],
  "title": "Aiphone Video Multi-Tenant System Entrance Stations vulnerable to information disclosure"
}



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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.

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