JVNDB-2018-000126

Vulnerability from jvndb - Published: 2018-12-10 05:26 - Updated:2019-08-27 02:48
Severity
8.8 (High) - cvssV3_0 - CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Summary
Multiple vulnerabilities in Cybozu Remote Service
Details
Cybozu Remote Service provided by Cybozu, Inc. contains multiple vulnerabilities listed below. * Upload of arbitrary files in logo setting screen (CWE-434) - CVE-2018-16169 * Directory traversal in used device management screen (CWE-22) - CVE-2018-16170 * Directory traversal in client certificates registration function (CWE-22) - CVE-2018-16171 * Improper countermeasure against clickjacking attack in client certificates management screen (CWE-451) - CVE-2018-16172 Cybozu, Inc. reported CVE-2018-16169 vulnerability to JPCERT/CC to notify users of the solution through JVN. Toshitsugu Yoneyama of Mitsui Bussan Secure Directions, Inc. reported CVE-2018-16170 and CVE-2018-16171 vulnerabilities to Cybozu, Inc., and Cybozu, Inc. reported them to JPCERT/CC to notify users of the solutions through JVN. Kanta Nishitani reported CVE-2018-16172 vulnerability to Cybozu, Inc., and Cybozu, Inc. reported it to JPCERT/CC to notify users of its solution through JVN.
References
Impacted products
Show details on JVN DB website
To clipboard 

{
  "@rdf:about": "https://jvndb.jvn.jp/en/contents/2018/JVNDB-2018-000126.html",
  "dc:date": "2019-08-27T11:48+09:00",
  "dcterms:issued": "2018-12-10T14:26+09:00",
  "dcterms:modified": "2019-08-27T11:48+09:00",
  "description": "Cybozu Remote Service provided by Cybozu, Inc. contains multiple vulnerabilities listed below.\r\n* Upload of arbitrary files in logo setting screen (CWE-434) - CVE-2018-16169\r\n* Directory traversal in used device management screen (CWE-22) - CVE-2018-16170\r\n* Directory traversal in client certificates registration function (CWE-22) - CVE-2018-16171\r\n* Improper countermeasure against clickjacking attack in client certificates management screen (CWE-451) - CVE-2018-16172\r\n\r\nCybozu, Inc. reported CVE-2018-16169 vulnerability to JPCERT/CC to notify users of the solution through JVN.\r\nToshitsugu Yoneyama of Mitsui Bussan Secure Directions, Inc. reported CVE-2018-16170 and CVE-2018-16171 vulnerabilities to Cybozu, Inc., and Cybozu, Inc. reported them to JPCERT/CC to notify users of the solutions through JVN.\r\nKanta Nishitani reported CVE-2018-16172 vulnerability to Cybozu, Inc., and Cybozu, Inc. reported it to JPCERT/CC to notify users of its solution through JVN.",
  "link": "https://jvndb.jvn.jp/en/contents/2018/JVNDB-2018-000126.html",
  "sec:cpe": {
    "#text": "cpe:/a:cybozu:cybozu_remote_service",
    "@product": "Remote Service",
    "@vendor": "Cybozu, Inc.",
    "@version": "2.2"
  },
  "sec:cvss": [
    {
      "@score": "6.5",
      "@severity": "Medium",
      "@type": "Base",
      "@vector": "AV:N/AC:L/Au:S/C:P/I:P/A:P",
      "@version": "2.0"
    },
    {
      "@score": "8.8",
      "@severity": "High",
      "@type": "Base",
      "@vector": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H",
      "@version": "3.0"
    }
  ],
  "sec:identifier": "JVNDB-2018-000126",
  "sec:references": [
    {
      "#text": "http://jvn.jp/en/jp/JVN23161885/index.html",
      "@id": "JVN#23161885",
      "@source": "JVN"
    },
    {
      "#text": "https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-16169",
      "@id": "CVE-2018-16169",
      "@source": "CVE"
    },
    {
      "#text": "https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-16170",
      "@id": "CVE-2018-16170",
      "@source": "CVE"
    },
    {
      "#text": "https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-16171",
      "@id": "CVE-2018-16171",
      "@source": "CVE"
    },
    {
      "#text": "https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-16172",
      "@id": "CVE-2018-16172",
      "@source": "CVE"
    },
    {
      "#text": "https://nvd.nist.gov/vuln/detail/CVE-2018-16169",
      "@id": "CVE-2018-16169",
      "@source": "NVD"
    },
    {
      "#text": "https://nvd.nist.gov/vuln/detail/CVE-2018-16170",
      "@id": "CVE-2018-16170",
      "@source": "NVD"
    },
    {
      "#text": "https://nvd.nist.gov/vuln/detail/CVE-2018-16171",
      "@id": "CVE-2018-16171",
      "@source": "NVD"
    },
    {
      "#text": "https://nvd.nist.gov/vuln/detail/CVE-2018-16172",
      "@id": "CVE-2018-16172",
      "@source": "NVD"
    },
    {
      "#text": "https://www.ipa.go.jp/en/security/vulnerabilities/cwe.html",
      "@id": "CWE-22",
      "@title": "Path Traversal(CWE-22)"
    },
    {
      "#text": "https://www.ipa.go.jp/en/security/vulnerabilities/cwe.html",
      "@id": "CWE-94",
      "@title": "Code Injection(CWE-94)"
    },
    {
      "#text": "https://www.ipa.go.jp/en/security/vulnerabilities/cwe.html",
      "@id": "CWE-Other",
      "@title": "No Mapping(CWE-Other)"
    }
  ],
  "title": "Multiple vulnerabilities in Cybozu Remote Service"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.





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.



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.