CVE-2018-8090 (GCVE-0-2018-8090)

Vulnerability from cvelistv5 – Published: 2018-07-25 23:00 – Updated: 2024-08-05 06:46
VLAI
Summary
Quick Heal Total Security 64 bit 17.00 (QHTS64.exe), (QHTSFT64.exe) - Version 10.0.1.38; Quick Heal Total Security 32 bit 17.00 (QHTS32.exe), (QHTSFT32.exe) - Version 10.0.1.38; Quick Heal Internet Security 64 bit 17.00 (QHIS64.exe), (QHISFT64.exe) - Version 10.0.0.37; Quick Heal Internet Security 32 bit 17.00 (QHIS32.exe), (QHISFT32.exe) - Version 10.0.0.37; Quick Heal AntiVirus Pro 64 bit 17.00 (QHAV64.exe), (QHAVFT64.exe) - Version 10.0.0.37; and Quick Heal AntiVirus Pro 32 bit 17.00 (QHAV32.exe), (QHAVFT32.exe) - Version 10.0.0.37 allow DLL Hijacking because of Insecure Library Loading.
Severity
7.8 (High)
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE
  • n/a
Assigner
References
Date Public
2018-07-23 00:00
Show details on NVD website
To clipboard 

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Tags
Taxonomy of the tags.





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.