CVE-2021-27223 (GCVE-0-2021-27223)

Vulnerability from cvelistv5 – Published: 2022-04-01 22:17 – Updated: 2024-08-03 20:40
VLAI
Summary
A denial-of-service issue existed in one of modules that was incorporated in Kaspersky Anti-Virus products for home and Kaspersky Endpoint Security. A local user could cause Windows crash by running a specially crafted binary module. The fix was delivered automatically. Credits: (Straghkov Denis, Kurmangaleev Shamil, Fedotov Andrey, Kuts Daniil, Mishechkin Maxim, Akolzin Vitaliy) @ ISPRAS
Severity
5.5 (Medium)
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
CWE
  • Denial-of-Service (DoS)
Assigner
References
Impacted products
Vendor Product Version CPE status
n/a Kaspersky Anti-Virus products for home and Kaspersky Endpoint Security Affected: with antivirus databases released before June 2021
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.



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.