Live Exposure Defense: From CVE to Confirmed Exposure in 12 Hours – See more

New CVE Detected

CVE-2026-92578 – Authentication Bypass via Stored Password Hash – WWBN AVideo through 29.0

Be the first to know when new zero-days emerge:

Summary

CVE-2026-92578 is an authentication bypass vulnerability in WWBN AVideo through version 29.0, where the stored password hash from the database is itself accepted as a valid login credential. An attacker who obtains a user’s password hash (e.g., via a database leak, backup exposure, or another disclosure flaw) can log in as that user — including administrators — without ever cracking the hash. The flaw is rated critical under CVSS v4.0 (9.2).

Technical details

  • Root cause: two independent code paths in AVideo treat a stored password hash as a valid credential instead of requiring the plaintext password.
  • The loginFromRequest() function retries authentication with the opposite encodedPass flag, effectively trying the submitted value both as plaintext and as a pre-encoded hash, defeating the purpose of the flag.
  • A legacy branch in encryptPasswordVerify() performs a direct equality comparison ($password === $hash) and returns success without any hashing/encoding check.
  • Attack vector: network, no user interaction required; the attacker only needs a copy of the target account’s stored hash (obtainable via SQL injection, backup exposure, or other information-disclosure issues).
  • Reachability is broad: roughly 20 endpoints accept user/pass parameters (several via GET), and the default-active Live plugin invokes login verification at include time, making the vulnerable logic reachable from most URLs on a vulnerable site.
  • Impact: full authentication bypass and account takeover, including administrator accounts, once a password hash is known — converting what would otherwise require offline password cracking into immediate unauthorized access.

Affected software

  • WWBN AVideo — all versions through 29.0 (including the latest commit at time of disclosure).

Severity

  • CVSS v4.0: 9.2 (Critical) — CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N
  • CVSS v3.1 (as scored in the CVE record): 8.1 (High) — CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H

Mitigation and recommended actions

  • Immediate: As of the vendor advisory, no patched release is available. Monitor the WWBN AVideo GitHub repository and security advisory for a fix and upgrade as soon as one is published.
  • Workarounds/network mitigations:
    • Remove or disable the opposite-flag retry logic in the login flow (objects/user.php) and the legacy plaintext-equality check in encryptPasswordVerify() (objects/functions.php) if you can apply a custom code fix ahead of an official patch.
    • Treat any exposure of the users.password database column (via backups, SQL injection, or other disclosure bugs) as equivalent to full account compromise and rotate credentials immediately.
    • Restrict or disable the default-active Live plugin and any GET-based login endpoints where not required, and place authentication endpoints behind additional network-layer access controls (e.g., IP allow-listing, WAF rules blocking credential parameters over GET).
    • Enforce strong database access controls and monitor for anomalous logins, especially administrator account access.

References

Are you exposed?

Get a free report of your organization’s exposure to this CVE and threat

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.

Are you exposed?

Get a free report of your organization’s exposure to this CVE and threat

Subscribe to Threat Center RSS

Copy/paste the link below into your preferred RSS reader or follow these instructions to subscribe to Slack alerts.

Get Real-Time CVE Alerts to Your Email

Be the first to know when new zero-days emerge