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CVE-2026-15542 (GCVE-0-2026-15542)

Vulnerability from cvelistv5 – Published: 2026-07-13 07:00 – Updated: 2026-07-15 14:10
VLAI
Title
will-moss Isaiah Websocket Connection Authentication main.go improper authentication
Summary
A vulnerability has been found in will-moss Isaiah up to 1.36.9. This affects an unknown function of the file app/main.go of the component Websocket Connection Authentication. The manipulation leads to improper authentication. The attack can be initiated remotely. The pull request to fix this issue awaits acceptance.
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-07-15 14:10 UTC
CWE
  • CWE-287 - Improper Authentication
Impacted products
Vendor Product Version CPE status
will-moss Isaiah Affected: 1.36.0
Affected: 1.36.1
Affected: 1.36.2
Affected: 1.36.3
Affected: 1.36.4
Affected: 1.36.5
Affected: 1.36.6
Affected: 1.36.7
Affected: 1.36.8
Affected: 1.36.9
    cpe:2.3:a:will-moss:isaiah:*:*:*:*:*:*:*:*
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.

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  • 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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Detection rules are retrieved from Rulezet.

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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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