CVE Alert: CVE-2025-10426 – itsourcecode – Online Laundry Management System
CVE-2025-10426
A security flaw has been discovered in itsourcecode Online Laundry Management System 1.0. This affects an unknown function of the file /login.php. Performing manipulation of the argument Username results in sql injection. It is possible to initiate the attack remotely. The exploit has been released to the public and may be exploited.
AI Summary Analysis
Risk verdict
High risk: network-available SQL injection on the login endpoint with a PoC and automatable exploit; public advisories indicate ongoing exposure.
Why this matters
An attacker can bypass authentication and access or alter data in the database without user interaction. The combination of unauthenticated, remote access and an exploitable SQL injection elevates the potential for data disclosure and integrity impact across multiple records.
Most likely attack path
Attack requires no privileges or UI interaction; the attacker sends a crafted Username input over the network to login.php, causing the SQL query to be manipulated. With C/ I/ A impact rated as low to partial in CVSS terms but a high overall score, data exfiltration or tampering of credentials is plausible, with limited scope to the application database but potential downstream effects if credentials or sessions are cached.
Who is most exposed
Sites hosting the vulnerable web app on publicly reachable servers (typical small-business PHP deployments) are at highest risk, especially those without WAFs, input sanitisation, or updated frameworks.
Detection ideas
- Unusual login.php requests with anomalous or SQL-pattern payloads
- SQL error messages or database error codes in responses or logs
- WAF/IDS alerts for SQL injection on login endpoints
- Spike in failed/blocked login attempts from diverse sources
- Unexpected data access patterns from the application DB
Mitigation and prioritisation
- Apply available patch or upgrade to fixed version; otherwise isolate/login endpoint temporarily.
- Implement parameterised queries and strict input validation on Username; use prepared statements.
- Deploy WAF/IPS rules targeting SQLi patterns; enable rate limiting and IP allowlists.
- Rotate database credentials and review access controls; enable logging/monitoring on login attempts.
- Coordinate with change-management to test in staging before rollout; monitor post-deployment for anomalous activity.
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