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CVE-2014-4061 (GCVE-0-2014-4061)

Vulnerability from cvelistv5 – Published: 2014-08-12 21:00 – Updated: 2024-08-06 11:04
VLAI
Summary
Microsoft SQL Server 2008 SP3, 2008 R2 SP2, and 2012 SP1 does not properly control use of stack memory for processing of T-SQL batch commands, which allows remote authenticated users to cause a denial of service (daemon hang) via a crafted T-SQL statement, aka "Microsoft SQL Server Stack Overrun Vulnerability."
Severity
No CVSS data available.
CWE
  • n/a
References
URL Tags
http://secunia.com/advisories/60676 third-party-advisoryx_refsource_SECUNIA
http://www.securitytracker.com/id/1030716 vdb-entryx_refsource_SECTRACK
http://blogs.technet.com/b/srd/archive/2014/08/12… x_refsource_CONFIRM
https://docs.microsoft.com/en-us/security-updates… vendor-advisoryx_refsource_MS
Date Public
2014-08-12 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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