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CVE-2016-2094 (GCVE-0-2016-2094)

Vulnerability from cvelistv5 – Published: 2016-05-06 17:00 – Updated: 2024-08-05 23:17
VLAI
Summary
The HTTPS NIO Connector allows remote attackers to cause a denial of service (thread consumption) by opening a socket and not sending an SSL handshake, aka a read-timeout vulnerability.
CWE
  • n/a
References
URL Tags
http://rhn.redhat.com/errata/RHSA-2016-0599.html vendor-advisoryx_refsource_REDHAT
http://rhn.redhat.com/errata/RHSA-2016-0596.html vendor-advisoryx_refsource_REDHAT
http://rhn.redhat.com/errata/RHSA-2016-0595.html vendor-advisoryx_refsource_REDHAT
http://rhn.redhat.com/errata/RHSA-2016-0598.html vendor-advisoryx_refsource_REDHAT
https://bugzilla.redhat.com/show_bug.cgi?id=1308465 x_refsource_CONFIRM
http://rhn.redhat.com/errata/RHSA-2016-0597.html vendor-advisoryx_refsource_REDHAT
Date Public
2016-04-05 00:00
Show details on NVD website

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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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Detection rules are retrieved from Rulezet.

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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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