Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:NSummary
CVE-2026-33502 is a critical-severity SSRF (CWE-918) vulnerability in Wwbn Avideo. Its CVSS base score is 9.3 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 37th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to AC-4 (Information Flow Enforcement) and SI-10 (Information Input Validation) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-33502 is a server-side request forgery (SSRF) vulnerability, classified under CWE-918, affecting WWBN AVideo, an open-source video platform. The flaw exists in versions up to and including 26.0, specifically within the `plugin/Live/test.php` component. It enables unauthenticated remote users to manipulate the AVideo server into sending HTTP requests to arbitrary URLs.
Any unauthenticated attacker with network access to the AVideo server can exploit this vulnerability due to its lack of authentication requirements (PR:N). Exploitation allows the attacker to probe localhost and internal services, potentially accessing sensitive internal HTTP resources or cloud metadata endpoints if reachable from the server. The CVSS v3.1 base score of 9.3 (AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N) reflects its critical severity, driven by high confidentiality impact across a changed scope.
Mitigation is available via commit 1e6cf03e93b5a5318204b010ea28440b0d9a5ab3, which patches the issue. Additional details on the vulnerability and remediation are outlined in the GitHub Security Advisory GHSA-3fpm-8rjr-v5mc, accessible at https://github.com/WWBN/AVideo/security/advisories/GHSA-3fpm-8rjr-v5mc, with the patch commit at https://github.com/WWBN/AVideo/commit/1e6cf03e93b5a5318204b010ea28440b0d9a5ab3.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-20066
Vulnerability Data
WWBN AVideo is an open source video platform. In versions up to and including 26.0, an unauthenticated server-side request forgery vulnerability in `plugin/Live/test.php` allows any remote user to make the AVideo server send HTTP requests to arbitrary URLs. This can…
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be used to probe localhost/internal services and, when reachable, access internal HTTP resources or cloud metadata endpoints. Commit 1e6cf03e93b5a5318204b010ea28440b0d9a5ab3 contains a patch.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.6V1.5.3V5.3.2V10.4.7
Mitigating Controls (NIST 800-53 r5) AI
Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.
Input validation directly stops untrusted URLs from being accepted and fetched without destination checks.
Boundary protection limits the network reach of server-initiated requests even if SSRF occurs.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure development practices directly include input validation and destination allow-listing that prevent SSRF.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network segmentation and egress controls can limit the damage from successful SSRF requests.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.