CVE-2026-64626 (GCVE-0-2026-64626)
Vulnerability from cvelistv5 – Published: 2026-07-20 21:50 – Updated: 2026-07-20 21:50
VLAI
EPSS
VEX
Title
AVideo Encoder downloadURL SSRF via unpinned retry fallback
Summary
AVideo versions from commit 0dbadbca through latest master contain a server-side request forgery vulnerability in the encoder download-by-URL flow due to an unpinned retry fallback that bypasses DNS pinning validation. An authenticated attacker can supply a downloadURL that redirects to an internal address, causing the unpinned retry to follow the redirect and reach internal targets for blind SSRF attacks.
Severity
6.4 (Medium)
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/WWBN/AVideo/security/advisorie… | vendor-advisory |
| https://github.com/WWBN/AVideo/commit/0dbadbcaaa1… | related |
| https://www.vulncheck.com/advisories/avideo-encod… | third-party-advisory |
Impacted products
Date Public
2026-07-07 00:00
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}
}
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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.
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