CVE-2026-4580: SQL Injection in code-projects Simple Laundry System
A security flaw has been discovered in code-projects Simple Laundry System 1.0. This impacts an unknown function of the file /checkupdatestatus.php of the component Parameters Handler. The manipulation of the argument serviceId results in sql injection. The attack can be executed remotely. The exploit has been released to the public and may be used for attacks.
AI Analysis
Technical Summary
CVE-2026-4580 identifies a SQL injection vulnerability in the Simple Laundry System version 1.0 developed by code-projects. The vulnerability resides in the /checkupdatestatus.php script, specifically in the Parameters Handler component that processes the 'serviceId' argument. Due to insufficient input validation and sanitization, an attacker can remotely inject crafted SQL statements through the serviceId parameter. This injection flaw allows attackers to manipulate backend database queries, potentially leading to unauthorized data disclosure, data modification, or disruption of service. The vulnerability requires no authentication or user interaction, making it remotely exploitable over the network. The CVSS 4.0 base score is 6.9 (medium severity), reflecting the moderate impact on confidentiality, integrity, and availability, with low complexity and no privileges required. Although no known exploits are currently active in the wild, the public availability of exploit code increases the likelihood of exploitation attempts. The affected product is niche software used for laundry management, which may limit the scope of impact but still poses a significant risk to organizations relying on this system for operational management. No official patches or updates have been linked yet, emphasizing the need for immediate mitigation steps.
Potential Impact
The SQL injection vulnerability allows attackers to execute arbitrary SQL commands on the backend database, potentially leading to unauthorized access to sensitive customer or operational data, data corruption, or denial of service by disrupting database operations. This can compromise the confidentiality and integrity of the affected system’s data and may also impact availability if critical database functions are disrupted. For organizations using the Simple Laundry System, this could result in operational downtime, loss of customer trust, regulatory non-compliance due to data breaches, and financial losses. Since the exploit requires no authentication and can be executed remotely, the attack surface is broad, increasing the risk of automated exploitation attempts. The impact is particularly significant for small to medium-sized businesses relying on this software for daily operations without extensive cybersecurity defenses.
Mitigation Recommendations
1. Immediate mitigation should focus on input validation and sanitization: implement strict validation on the 'serviceId' parameter to allow only expected numeric or predefined values. 2. Employ parameterized queries or prepared statements in the /checkupdatestatus.php script to prevent SQL injection. 3. If source code modification is not feasible immediately, deploy a Web Application Firewall (WAF) with rules to detect and block SQL injection patterns targeting the vulnerable parameter. 4. Monitor logs for suspicious activity related to the 'serviceId' parameter to detect exploitation attempts early. 5. Restrict database user permissions to the minimum necessary to limit the impact of any successful injection. 6. Engage with the vendor or community to obtain official patches or updates and apply them promptly once available. 7. Conduct a security audit of the entire application to identify and remediate other potential injection points. 8. Educate staff about the risks and signs of exploitation to enhance incident response readiness.
Affected Countries
United States, India, United Kingdom, Germany, Australia, Canada, Netherlands, Singapore, Brazil, South Africa
CVE-2026-4580: SQL Injection in code-projects Simple Laundry System
Description
A security flaw has been discovered in code-projects Simple Laundry System 1.0. This impacts an unknown function of the file /checkupdatestatus.php of the component Parameters Handler. The manipulation of the argument serviceId results in sql injection. The attack can be executed remotely. The exploit has been released to the public and may be used for attacks.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-4580 identifies a SQL injection vulnerability in the Simple Laundry System version 1.0 developed by code-projects. The vulnerability resides in the /checkupdatestatus.php script, specifically in the Parameters Handler component that processes the 'serviceId' argument. Due to insufficient input validation and sanitization, an attacker can remotely inject crafted SQL statements through the serviceId parameter. This injection flaw allows attackers to manipulate backend database queries, potentially leading to unauthorized data disclosure, data modification, or disruption of service. The vulnerability requires no authentication or user interaction, making it remotely exploitable over the network. The CVSS 4.0 base score is 6.9 (medium severity), reflecting the moderate impact on confidentiality, integrity, and availability, with low complexity and no privileges required. Although no known exploits are currently active in the wild, the public availability of exploit code increases the likelihood of exploitation attempts. The affected product is niche software used for laundry management, which may limit the scope of impact but still poses a significant risk to organizations relying on this system for operational management. No official patches or updates have been linked yet, emphasizing the need for immediate mitigation steps.
Potential Impact
The SQL injection vulnerability allows attackers to execute arbitrary SQL commands on the backend database, potentially leading to unauthorized access to sensitive customer or operational data, data corruption, or denial of service by disrupting database operations. This can compromise the confidentiality and integrity of the affected system’s data and may also impact availability if critical database functions are disrupted. For organizations using the Simple Laundry System, this could result in operational downtime, loss of customer trust, regulatory non-compliance due to data breaches, and financial losses. Since the exploit requires no authentication and can be executed remotely, the attack surface is broad, increasing the risk of automated exploitation attempts. The impact is particularly significant for small to medium-sized businesses relying on this software for daily operations without extensive cybersecurity defenses.
Mitigation Recommendations
1. Immediate mitigation should focus on input validation and sanitization: implement strict validation on the 'serviceId' parameter to allow only expected numeric or predefined values. 2. Employ parameterized queries or prepared statements in the /checkupdatestatus.php script to prevent SQL injection. 3. If source code modification is not feasible immediately, deploy a Web Application Firewall (WAF) with rules to detect and block SQL injection patterns targeting the vulnerable parameter. 4. Monitor logs for suspicious activity related to the 'serviceId' parameter to detect exploitation attempts early. 5. Restrict database user permissions to the minimum necessary to limit the impact of any successful injection. 6. Engage with the vendor or community to obtain official patches or updates and apply them promptly once available. 7. Conduct a security audit of the entire application to identify and remediate other potential injection points. 8. Educate staff about the risks and signs of exploitation to enhance incident response readiness.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-03-22T08:53:38.564Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69c10142f4197a8e3b28a6a5
Added to database: 3/23/2026, 9:00:50 AM
Last enriched: 3/23/2026, 9:15:56 AM
Last updated: 5/7/2026, 5:00:20 AM
Views: 74
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