CVE-2026-82647 (GCVE-0-2026-82647)
Vulnerability from cvelistv5 – Published: 2026-08-30 14:33 – Updated: 2026-08-30 14:33
VLAI
EPSS
VEX
Title
WWBN AVideo Cross-Site Request Forgery via sendEmail.json.php
Summary
WWBN AVideo contains a cross-site request forgery vulnerability in sendEmail.json.php that allows authenticated administrators to send mail from the site's contact address by bypassing origin checks and captcha validation. Attackers can craft a malicious web page that, when visited by an authenticated admin, sends emails with attacker-controlled subject and body to arbitrary recipients, passing SPF/DKIM/DMARC validation for phishing and brand impersonation attacks.
Severity
6.1 (Medium)
CWE
- CWE-352 - Cross-Site Request Forgery (CSRF)
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
2026-08-14 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.
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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