Simple Laundry System CVE-2026-5564

Real-world risk is HIGH despite moderate CVSS 7.3 score. The CVSS vector (AV:N/AC:L/PR:N/UI:N) indicates network-accessible exploitation with low complexity requiring no authentication or user interaction-the most dangerous combination for web vulnerabilities. The Exploit Maturity metric (E:P) confirms publicly available exploit code exists, verified by the GitHub PoC reference. SQL injection vulnerabilities are highly automatable and frequently targeted by automated scanners and bot networks. While no CISA KEV listing exists and EPSS probability is unavailable, the presence of public PoC against an unauthenticated endpoint dramatically increases exploitation likelihood. SSVC decision framework assessment: Exploitation=PoC (public code available), Automatable=Yes (web SQLi is trivially automatable), Technical Impact=Partial (confidentiality/integrity/availability rated Low per CVSS but SQLi often enables database takeover). The primary risk mitigation is that Simple Laundry System appears to be a small open-source project with limited deployment footprint, but any internet-facing installation is immediately vulnerable to credential theft, data exfiltration, or administrative account compromise.

An unauthenticated remote attacker identifies a Simple Laundry System installation through internet scanning or subdomain enumeration. Using the publicly available GitHub PoC, the attacker crafts a malicious HTTP request to /searchguest.php with a UNION-based SQL injection payload in the searchServiceId parameter, such as searchServiceId=' UNION SELECT username,password,3,4 FROM admin_users--. The vulnerable PHP code concatenates this input directly into the SQL query without sanitization, causing the database to return administrative credentials in the search results. The attacker retrieves bcrypt or MD5 password hashes, cracks them offline using hashcat, and logs into the administrative panel to access customer data including names, contact information, and payment records. Alternatively, the attacker uses time-based blind SQLi techniques to exfiltrate the entire database without generating visible errors, enabling persistent access to business operations data or deployment of webshells via INTO OUTFILE commands if database permissions allow.