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CVE-2026-84208 – Unauthenticated SQL Injection – AVideo through version 29.0

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Summary

CVE-2026-84208 is an unauthenticated SQL injection vulnerability in the User_Location plugin of AVideo, an open-source video streaming/hosting platform maintained by WWBN. The flaw allows attackers to execute UNION-based SQL injection against the regions.json.php and cities.json.php endpoints without any authentication, enabling extraction of arbitrary database contents, including password hashes. It is rated HIGH severity (CVSS v4.0 8.7).

Technical details

  • Root cause: The country and region GET parameters accepted by the User_Location plugin’s regions.json.php and cities.json.php endpoints are concatenated directly into SQL queries without escaping or the use of prepared statement binding.
  • Trigger conditions: An attacker simply sends a crafted GET request containing malicious SQL syntax in the country or region parameters to either endpoint; no authentication or user interaction is required.
  • Attack vector: Network-based, low attack complexity, no privileges required, no user interaction (per CVSS v4.0/v3.1 vector strings).
  • Impact: UNION-based SQL injection allows an unauthenticated attacker to read arbitrary contents of the underlying database, including user password hashes and other sensitive data. No integrity or availability impact is recorded.

Affected software

  • WWBN AVideo, all versions from 0 through and including 29.0

Severity

  • CVSS v3.1 Base Score: 7.5 (HIGH) — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
  • CVSS v4.0 Base Score: 8.7 (HIGH) — CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N

Mitigation and recommended actions

  • Immediate: Upgrade AVideo to a version beyond 29.0 that incorporates the fix referenced in the vendor’s GitHub Security Advisory (GHSA-xj29-cg44-33q6). Confirm the User_Location plugin’s regions.json.php and cities.json.php endpoints use parameterized queries after upgrading.
  • If no patch can be applied immediately: Restrict or disable public access to the User_Location plugin endpoints (regions.json.php, cities.json.php) at the web server or reverse proxy/WAF layer, and monitor for anomalous requests containing SQL metacharacters in the country and region parameters. Rotate database credentials and force a password reset for all users if compromise is suspected.

How IONIX identifies potentially affected assets

IONIX matches the following signals against data already collected when it crawled the asset; identifying the technology sends no request beyond that crawl.

  • Page title: Sign In - AVideo, AVideo
  • Raw response body: id="avideoModal", avideoAlert(, avideoModalIframe(

References

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How IONIX’s External Exposure Management Platform Detects and Validates
Zero-Days to Shrink MTTR

1

Map your entire attack surface (continously)

IONIX uses multi-factor discovery methods, including DNS analysis, certificate mapping, metadata inspection, and more, to automatically map every internet-facing asset across your environment. This includes cloud instances, third-party platforms, shadow IT, and even forgotten infrastructure that traditional tools miss.

2

Monitor for new CVEs

Dozens of threat intel feeds using agentic technology are continuously analyzed to detect the appearance of proof-of-concept code, exploit kits, and indicators of active targeting. IONIX goes further by applying AI to proactively evaluate whether emerging vulnerabilities are likely to be exploited, even before PoCs go public.

3

Identify Potential External Exposures

Not all CVEs matter. IONIX filters vulnerabilities by asking attacker-centric questions: Can it be reached from the internet? Does it require authentication? Is it being exploited in the wild? This dramatically reduces noise and focuses teams on threats that can actually be weaponized.

4

Create Safe, Scalable Exploit Validations

IONIX transforms real-world PoCs into safe, non-intrusive test payloads that can be run in production environments without disruption. These simulations are precisely targeted to the systems that are vulnerable, ensuring rapid validation without unnecessary load.

5

Execute Exploit Validations

By combining context about software stack, versioning, exposure status, and reachability, IONIX ensures that only the right payloads are executed against the right assets, maximizing efficiency and minimizing risk.

6

Drive Fast and Actionable Remediation

Results are routed through integrations with ticketing, SOAR, and SIEM tools. Issues are written in plain language, bundled into remediation clusters, and prioritized based on asset criticality, exploitability, and blast radius. This shortens mean time to remediation (MTTR) and empowers teams to act with confidence.

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  • Identification of potentially exposed assets to this CVE
  • Confirmation of verified exploitable assets
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