Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:NSummary
CVE-2026-33485 is a high-severity SQL Injection (CWE-89) vulnerability in Wwbn Avideo. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 38th 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 SA-11 (Developer Testing and Evaluation) 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-2026-33485 is a time-based blind SQL injection vulnerability in WWBN AVideo, an open source video platform. It affects versions up to and including 26.0. The vulnerability occurs in the RTMP on_publish callback at plugin/Live/on_publish.php, which is accessible without authentication. The $_POST['name'] parameter, used as the stream key, is interpolated directly into SQL queries within LiveTransmitionHistory::getLatest() and LiveTransmition::keyExists() without parameterized binding or escaping.
An unauthenticated attacker can exploit this vulnerability over the network with low attack complexity and no user interaction or privileges required, earning a CVSS v3.1 base score of 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N) and mapping to CWE-89. Exploitation enables extraction of all database contents, including sensitive data such as user password hashes and email addresses.
Mitigation is provided in commit af59eade82de645b20183cc3d74467a7eac76549. Additional details are documented in the GitHub security advisory at GHSA-8p58-35c3-ccxx.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-14443
Vulnerability Data
WWBN AVideo is an open source video platform. In versions up to and including 26.0, the RTMP `on_publish` callback at `plugin/Live/on_publish.php` is accessible without authentication. The `$_POST['name']` parameter (stream key) is interpolated directly into SQL queries in two locations —…
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`LiveTransmitionHistory::getLatest()` and `LiveTransmition::keyExists()` — without parameterized binding or escaping. An unauthenticated attacker can exploit time-based blind SQL injection to extract all database contents including user password hashes, email addresses, and other sensitive data. Commit af59eade82de645b20183cc3d74467a7eac76549 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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V6.2.5
Mitigating Controls (NIST 800-53 r5) AI
Developer testing and evaluation can discover SQLi flaws before deployment but does not stop their introduction.
Input validation directly stops untrusted data from reaching SQL query construction without neutralization.
Secure engineering principles require parameterized queries and input sanitization that structurally eliminate SQLi.
System monitoring can identify attempted SQLi exploitation via anomalous queries after the weakness exists.
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 SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
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.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.
Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.
Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.
Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.