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CVE-2024-1470 (GCVE-0-2024-1470)

Vulnerability from cvelistv5 – Published: 2024-02-20 16:10 – Updated: 2024-08-01 18:40
VLAI
Title
Elevation of Privilege attack on NetIQ Client login extension
Summary
Authorization Bypass Through User-Controlled Key vulnerability in NetIQ (OpenText) Client Login Extension on Windows allows Privilege Escalation, Code Injection.This issue only affects NetIQ Client Login Extension: 4.6.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-02-29 21:00 UTC
CWE
  • CWE-639 - Authorization Bypass Through User-Controlled Key
Impacted products
Vendor Product Version CPE status
OpenText NetIQ Client Login Extension Affected: 4.6
guessed Create a notification for this product.
opentext netiq_client_login_extension Affected: 4.6
    cpe:2.3:a:opentext:netiq_client_login_extension:4.6:*:*:*:*:*:*:*
Create a notification for this product.
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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