CVE-2001-0237 (GCVE-0-2001-0237)

Vulnerability from cvelistv5 – Published: 2001-09-18 04:00 – Updated: 2024-08-08 04:14
VLAI
Summary
Memory leak in Microsoft 2000 domain controller allows remote attackers to cause a denial of service by repeatedly connecting to the Kerberos service and then disconnecting without sending any data.
Severity
No CVSS data available.
CWE
  • n/a
Assigner
References
URL Tags
https://docs.microsoft.com/en-us/security-updates… vendor-advisoryx_refsource_MS
https://exchange.xforce.ibmcloud.com/vulnerabilit… vdb-entryx_refsource_XF
http://marc.info/?l=bugtraq&m=98942093221908&w=2 mailing-listx_refsource_BUGTRAQ
http://ciac.llnl.gov/ciac/bulletins/l-079.shtml third-party-advisorygovernment-resourcex_refsource_CIAC
http://www.securityfocus.com/bid/2707 vdb-entryx_refsource_BID
Date Public
2001-05-08 00:00
Show details on NVD website
To clipboard 

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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.


Detection rules are retrieved from Rulezet.


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.