CVE-2026-92584 (GCVE-0-2026-92584)
Vulnerability from cvelistv5 – Published: 2026-09-16 21:46 – Updated: 2026-09-21 14:55
VLAI
EPSS
VEX
Title
AVideo through 29.0 Stored Cross-Site Scripting via User-Agent Header
Summary
AVideo through 29.0 (current revision e01e41ecc) contains a stored cross-site scripting vulnerability. The unauthenticated view-counter endpoint objects/videoAddViewCount.json.php reaches VideoStatistic::save(), which writes the caller's User-Agent (via getUserAgentInfo(), which returns unrecognized agent strings verbatim) directly into the `app` column of the videos_statistics table without invoking the sanitizing setter setApp(); normalizeApp() only truncates the value to 45 characters. The video owner's and administrator's statistics page (view/videoViewsInfo.php) renders this field in a DataTables 1.12.1 column with an unescaped renderer, and DataTables assigns cell content using innerHTML, so attacker-supplied HTML is parsed and executed in the privileged user's authenticated session when the statistics page is viewed. No patched version was available at the time of the advisory.
Severity
6.1 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-21 14:55 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/WWBN/AVideo/security/advisorie… | vendor-advisory |
| https://www.vulncheck.com/advisories/avideo-throu… | third-party-advisory |
Impacted products
Date Public
2026-09-01 00:00
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Sightings
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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.
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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.