Simple Laundry System CVE-2026-5565

Real-world risk is elevated due to multiple converging factors. The CVSS vector (AV:N/AC:L/PR:N/UI:N) indicates network-accessible exploitation with low attack complexity requiring no authentication or user interaction, making this trivially exploitable by unauthenticated remote attackers. The E:P (Proof-of-concept) temporal metric confirms publicly available exploit code exists on GitHub, lowering the skill barrier for attackers. No EPSS score or KEV status provided, but public exploit availability historically correlates with increased scanning activity within days of disclosure. CVSS impact ratings (C:L/I:L/A:L) indicate low confidentiality, integrity, and availability impact, suggesting the injection point may have limited database privileges or application context restrictions. However, SQL injection frequently enables privilege escalation, full database extraction, or secondary attacks (file read/write, OS command injection via xp_cmdshell or INTO OUTFILE). From an SSVC perspective: exploitation is public and automatable (scripted scanning), technical impact is likely limited to data exfiltration or modification within the application scope, but the lack of authentication requirement increases exposure surface. This is a credible medium-high priority for organizations running this specific software, but not a critical infrastructure-level threat given the niche application scope and absence of confirmed active exploitation (no KEV listing).

An unauthenticated attacker discovers the Simple Laundry System installation via Shodan or Google dorking (inurl:delmemberinfo.php). Using the publicly available GitHub POC, the attacker crafts a malicious HTTP POST request to /delmemberinfo.php with a userid parameter containing a SQL injection payload such as '1 OR 1=1 UNION SELECT username,password,email FROM admin_users--'. The vulnerable application executes the injected query without sanitization, returning the admin credentials table. The attacker extracts bcrypt password hashes, cracks weak passwords offline, and authenticates as an administrator to access customer PII (names, addresses, payment records) or modify order data for financial fraud. Alternatively, time-based blind injection (userid=1 AND SLEEP(5)) could be used to enumerate the database schema and exfiltrate data row-by-row through automated scripting.