CVE-2026-100854 (GCVE-0-2026-100854)

Vulnerability from cvelistv5 – Published: 2026-09-27 01:28 – Updated: 2026-09-27 01:28
VLAI
Title
AzuraCast before 0.23.6 Metadata Injection via Liquidsoap API
Summary
AzuraCast before 0.23.6 lacks RequireInternalConnection middleware on the Liquidsoap API endpoint and incorrectly derives the AutoDJ flag from header presence rather than validated value. Users with View station permission can inject arbitrary now-playing metadata, disrupt live broadcasts, and disclose filesystem paths.
Severity
5.3 (Medium)
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N
6.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
AzuraCast AzuraCast Affected: 0 , < 0.23.6 (semver)
Unaffected: 0.23.6 (semver)
    cpe:2.3:a:azuracast:azuracast:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2026-04-23 00:00
Credits
offset
Show details on NVD website
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}



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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.



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.