CVE Alert: CVE-2025-12292 – SourceCodester – Point of Sales

Risk verdict

High risk due to remote, unauthenticated SQL injection with a publicly disclosed PoC; exploitation could compromise or exfiltrate data.

Why this matters

Public exposure of the injection vector lowers barrier for opportunistic attackers, risking payment or customer data leakage and potential downtime. A successful exploit could also pave the way for data tampering or further database access within the POS environment.

Most likely attack path

An attacker would target the web-facing /index.php using crafted Username input to trigger a SQL injection, potentially enumerating or extracting data without user interaction. With network attack vector, no authentication required, and minimal privileges needed, the assault can proceed directly to the database and may enable data exfiltration or modification while leaving the application scope unchanged.

Who is most exposed

Web-facing POS deployments and shops running the affected PHP-based application are at risk, especially where the POS system is reachable from the internet or via weakly protected networks. Common patterns include publicly accessible admin or checkout interfaces on small business networks.

Detection ideas

• Look for suspicious or malformed Username parameters in access logs.
• Monitor for SQL error messages or unusual query patterns in app and DB logs.
• Detect data export or large result sets from the POS DB.
• Enable SQLi-focused signatures in WAF/IDS and review near-real-time alerts.
• Anomalous authentication or privilege-escalation events tied to the POS host.

Mitigation and prioritisation

• Apply the vendor’s fix or upgrade to a patched release; if unavailable, implement strict parameterised queries and input validation.
• Enforce WAF/IPS rules to block SQL injection attempts; disable verbose DB errors.
• Segment networks to ensure the POS DB is not directly exposed and restrict external access.
• Enhance logging and real-time monitoring; alert on suspicious query patterns and data exfiltration.
• Change management: test patches in staging before production rollout; schedule rapid deployment. High-priority due to PoC publicisation and remote exploitability.