CVE Alert: CVE-2024-12913 – Megatek Communication System – Azora Wireless Network Management

Risk verdict

High risk due to a high‑impact SQL Injection vulnerability that requires local access; exploitation activity is not confirmed in the provided data, but the severity warrants prompt attention once a patch or workaround is available.

Why this matters

If exploited, an attacker could read or modify sensitive data, potentially alter configuration, or derail management functions. Compromise of the wireless management layer can enable broader access to internal networks and credential/credential-store exposure, undermining network segmentation and trust.

Most likely attack path

An attacker with local access to the management appliance could inject SQL via the vulnerable interface, without user interaction, leveraging low privileges. The Scope is changed, suggesting potential broader impact beyond the immediate component and possible lateral effects within the device’s data handling. Precondition is local access and some baseline privileges rather than remote exploitation.

Who is most exposed

Common deployments are on-premises management appliances in enterprise networks, often reachable from internal admin workstations or dedicated LAN segments. Organisations with exposed management interfaces or delayed patching are particularly at risk.

Detection ideas

• Unusual database errors or stack traces in management UI logs.
• Input patterns resembling SQLi (unexpected quotes, UNIONs, tautologies) in API/request payloads.
• spikes or anomalies in internal access attempts to the management console.
• DB query logs showing abnormal SELECT/WRITE activity tied to config endpoints.
• Correlated alerts from web app firewalls or SIEM on management traffic.

Mitigation and prioritisation

• Apply vendor patch or guidance as soon as available; initiate emergency change if advised.
• Restrict management access to trusted networks, enforce MFA, and disable unnecessary remote access.
• Enforce network segmentation for the appliance and monitor for anomalous DB activity.
• Implement parameterised queries and robust input validation on all endpoints handling user input.
• Schedule patching in the next maintenance window; document risk acceptance only if necessary.