CVE-2008-1337 (GCVE-0-2008-1337)

Vulnerability from cvelistv5 – Published: 2008-03-14 20:00 – Updated: 2024-08-07 08:17
VLAI
Summary
The instant message service in Timbuktu Pro 8.6.5 RC 229 and earlier for Windows allows remote attackers to cause (1) a denial of service (daemon crash) via an invalid Version field or (2) a denial of service (CPU consumption and daemon termination) via an invalid or partial message.
Severity
No CVSS data available.
CWE
  • n/a
References
URL Tags
http://www.securityfocus.com/archive/1/489360/100… mailing-listx_refsource_BUGTRAQ
http://secunia.com/advisories/29316 third-party-advisoryx_refsource_SECUNIA
http://securityreason.com/securityalert/3741 third-party-advisoryx_refsource_SREASON
http://aluigi.org/poc/timbuto.zip x_refsource_MISC
http://aluigi.altervista.org/adv/timbuto-adv.txt x_refsource_MISC
http://www.vupen.com/english/advisories/2008/0840 vdb-entryx_refsource_VUPEN
Date Public
2008-03-10 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

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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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