CVE-2026-88867 (GCVE-0-2026-88867)
Vulnerability from cvelistv5 – Published: 2026-09-10 13:05 – Updated: 2026-09-10 14:11
VLAI
EPSS
VEX
Title
WWBN AVideo Stored XSS via Category Name and Icon Class
Summary
WWBN AVideo, in versions up to and including commit c3edcc274c389816d434acadac07ee78eaf330c1, contains a stored cross-site scripting vulnerability. objects/categoryAddNew.json.php passes the POST parameters `name` and `iconClass` to Category::setName() and Category::setIconClass(), which store the values without sanitization (setName only truncates to 45 characters). The category name is later echoed as HTML text and iconClass is echoed into a class attribute in view/modeYoutubeBottom.php and in Gallery cards (plugin/Gallery/functions.php). When the CustomizeUser option usersCanCreateNewCategories is enabled, any authenticated user with canUpload permission (granted by default via self-registration) can create a category containing a JavaScript payload; the payload then executes in the browser of any visitor, including administrators, who views a watch page or gallery entry for a video assigned to that category, allowing actions such as authenticated requests with the victim's session. The issue was unpatched at the time of reporting.
Severity
8.7 (High)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-09-10 14:11 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/wwbn-avideo-… | third-party-advisory |
Impacted products
Date Public
2026-08-26 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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