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CVE-2026-84479 – Authentication Bypass (2FA/Brute-Force Protection Bypass) – WWBN AVideo ≤29.0

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Summary

CVE-2026-84479 is an authentication bypass by spoofing vulnerability (CWE-290) in WWBN AVideo. Three login-time security controls — two-factor authentication, CAPTCHA/brute-force throttling, and login/device audit logging — are enforced solely by checking the client-supplied User-Agent HTTP header, allowing an attacker with valid credentials to bypass all three simply by changing that header. The issue is rated CRITICAL with a CVSS score of 9.3.

Technical details

  • Root cause: the isAVideoEncoder() and isAVideoMobileApp() functions determine trusted-client status by matching the HTTP_USER_AGENT request header against hardcoded literal strings (AVideoEncoder, AVideoMobileApp), with no IP address verification and no shared-secret/token validation.
  • Trigger condition: an attacker who already possesses valid account credentials submits a login request with the User-Agent header set to AVideoEncoder (or AVideoMobileApp).
  • Attack vector: network, no user interaction required, low attack complexity, no elevated privileges needed beyond valid credentials.
  • Impact: two-factor authentication is skipped, CAPTCHA/brute-force escalation is bypassed, and the login is not recorded in login/device audit history — undermining account security controls and audit trails.

Affected software

  • WWBN AVideo — versions up to and including 29.0 (no fixed version available at time of publication)

Severity

  • CVSS v3.1 Base Score: 9.1 (Critical) — CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N
  • CVSS v4.0 Base Score: 9.3 (Critical) — CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:N/SC:N/SI:N/SA:N

Mitigation and recommended actions

  • Immediate: No patched version is available at the time of publication; monitor the vendor’s repository and advisories for a fix and apply it as soon as it is released.
  • Workarounds: Restrict or monitor login endpoints for requests using the AVideoEncoder/AVideoMobileApp User-Agent strings at a reverse proxy or WAF, since this header alone should not be trusted to bypass 2FA/CAPTCHA. Enforce IP allow-listing for legitimate encoder/mobile app clients where possible, and review login/audit logs for anomalies that may indicate this header was used to bypass logging.

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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Map your entire attack surface (continously)

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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

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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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