CVE-2014-7255 (GCVE-0-2014-7255)

Vulnerability from cvelistv5 – Published: 2014-12-05 17:00 – Updated: 2024-08-06 12:40
VLAI
Summary
Internet Initiative Japan Inc. SEIL Series routers SEIL/X1 2.50 through 4.62, SEIL/X2 2.50 through 4.62, SEIL/B1 2.50 through 4.62, and SEIL/x86 Fuji 1.70 through 3.22 allow remote attackers to cause a denial of service (CPU and traffic consumption) via a large number of NTP requests within a short time, which causes unnecessary NTP responses to be sent.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
CWE
  • n/a
Assigner
References
URL Tags
http://jvndb.jvn.jp/ja/contents/2014/JVNDB-2014-0… third-party-advisoryx_refsource_JVNDB
http://www.seil.jp/support/security/a01510.html x_refsource_CONFIRM
http://jvn.jp/en/jp/JVN21907573/index.html third-party-advisoryx_refsource_JVN
Date Public
2014-12-01 00:00
Show details on NVD website
To clipboard 

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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.