CVE Alert: CVE-2025-9506 – Campcodes – Online Loan Management System

Risk verdict

High risk: remote, unauthenticated SQL injection with a public PoC exploit; urgent to address.

Why this matters

Exploitation can reveal or tamper loan-related data, undermining confidentiality and integrity with potential customer impact and regulatory exposure. Availability impact is possible but secondary; attackers may achieve data exfiltration or selective data modification without needing user interaction.

Most likely attack path

Remote attacker targets the vulnerable endpoint, supplying crafted IDs to manipulate SQL queries. With no authentication and no user interaction required, such payloads can read or alter data within the same security boundary. The vulnerability appears to be straightforward to exploit, with a risk of automated tooling given PoC availability. Scope remains within the application’s database layer, limiting broader system impact but enabling meaningful data exposure.

Who is most exposed

Internet-facing deployments of the web application, especially those lacking robust input validation or parameterised queries, and environments where database credentials are shared with the app layer. SMEs using common hosting setups are typical.

Detection ideas

• WAF/IDS alerts for suspicious ID parameters or UNION/SELECT payloads in ajax.php requests.
• Application logs showing SQL error messages or database error traces tied to the delete_plan flow.
• Anomalous spikes in DELETE-like requests with crafted IDs from unauthenticated sources.
• Time-based or boolean-based injection patterns in the id parameter.
• Unusual data reads following such requests (unexpected row counts or data fields).

Mitigation and prioritisation

• Apply patch or upgrade to fixed version; implement and enforce parameterised queries/prepared statements.
• Harden input handling: whitelist/validate ID parameter; disable directly concatenated SQL.
• Enforce least-privilege DB accounts; limit the app’s DB rights to necessary operations.
• Deploy WAF rules or SIEM detections for SQLi patterns; monitor and alert on delete_plan anomalies.
• Change-management: test in staging, then roll out with verification. If KEV true or EPSS ≥ 0.5, treat as priority 1.