CVE-2026-100850 (GCVE-0-2026-100850)
Vulnerability from cvelistv5 – Published: 2026-09-27 01:28 – Updated: 2026-09-27 01:28
VLAI
EPSS
VEX
Title
AzuraCast before 0.23.8 SSRF and Local File Read via Remote Playlist
Summary
AzuraCast before 0.23.8 contains a server-side request forgery and local file read vulnerability in the AutoDJ remote playlist fetch (backend/src/Radio/AutoDJ/QueueBuilder.php, getMediaFromRemoteUrl()). A user with the station Media permission can create or update a playlist with source=remote_url and remote_type=playlist whose remote_url points at a file:// path or an internal/loopback/link-local HTTP endpoint. When AutoDJ builds the queue, the backend passes the user-supplied URL directly to file_get_contents() with no scheme allowlist and no private/loopback/metadata IP policy (PHP allow_url_fopen is enabled by default, including in the Docker image). Lines from the fetched resource are parsed as M3U/PLS entries, stored in StationQueue.autodj_custom_uri, and returned by GET /api/station/{station_id}/queue to any user with the Broadcasting permission, disclosing host files readable by the web container (for example /etc/passwd or the application .env) and the bodies of non-blind internal HTTP requests. No patched version was available at the time of publication.
Severity
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/AzuraCast/AzuraCast/security/a… | vendor-advisory |
| https://www.vulncheck.com/advisories/azuracast-be… | third-party-advisory |
Impacted products
Date Public
2026-08-08 00:00
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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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