CVE-2026-86104 (GCVE-0-2026-86104)

Vulnerability from cvelistv5 – Published: 2026-09-29 23:05 – Updated: 2026-09-30 15:28
VLAI
Title
Fireware OS Resource Exhaustion in Login Process Allows Denial of Service
Summary
An uncontrolled resource consumption vulnerability in the Fireware OS login process (wgagent) allows a remote, unauthenticated attacker to cause a denial of service by sending a specially crafted request.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-30 14:22 UTC
References
Impacted products
Vendor Product Version CPE status
WatchGuard Fireware OS Affected: 2026.3 , < 2026.3.2 (custom)
Affected: 2025.0 , < 2026.2.3 (custom)
Affected: 12.0 , < 12.12.3 (custom)
guessed Create a notification for this product.
WatchGuard Fireware OS Affected: 12.0 , < 12.5.21 (custom)
guessed 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

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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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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