CVE-2025-5796: Cross Site Scripting in code-projects Laundry System
A vulnerability has been found in code-projects Laundry System 1.0 and classified as problematic. This vulnerability affects unknown code of the file /data/edit_type.php. The manipulation of the argument Type leads to cross site scripting. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-5796 is a cross-site scripting (XSS) vulnerability identified in version 1.0 of the code-projects Laundry System, specifically within the /data/edit_type.php file. The vulnerability arises from improper sanitization or validation of the 'Type' parameter, which can be manipulated by an attacker to inject malicious scripts. This flaw allows an attacker to execute arbitrary JavaScript code in the context of the victim's browser when they access a crafted URL or interact with the affected web application. The vulnerability is remotely exploitable without requiring authentication, although it requires some user interaction (e.g., clicking a malicious link). The CVSS 4.0 base score is 5.1, indicating a medium severity level. The vector details highlight that the attack vector is network-based (AV:N), with low attack complexity (AC:L), no privileges required (PR:L), and user interaction needed (UI:P). The impact primarily affects confidentiality and integrity at a low level, with no impact on availability. The vulnerability does not affect system components beyond the web interface, and no known exploits are currently in the wild. No official patches or fixes have been linked yet, suggesting that organizations using this Laundry System version should consider mitigation strategies promptly. XSS vulnerabilities can be leveraged for session hijacking, defacement, phishing, or delivering malware, potentially compromising user data and trust in the affected system.
Potential Impact
For European organizations using the code-projects Laundry System 1.0, this vulnerability poses a risk primarily to the confidentiality and integrity of user sessions and data. If exploited, attackers could steal session cookies, perform actions on behalf of authenticated users, or redirect users to malicious sites, leading to potential data breaches or reputational damage. Given that laundry management systems often handle customer information and operational data, exploitation could disrupt business processes or lead to unauthorized access to sensitive information. Although the vulnerability does not directly impact availability, the indirect consequences such as loss of customer trust or regulatory penalties under GDPR for data breaches could be significant. The medium severity rating suggests that while the threat is not critical, it should not be ignored, especially in environments where the Laundry System is integrated with other business-critical systems or where user data privacy is paramount.
Mitigation Recommendations
1. Immediate mitigation should include implementing input validation and output encoding on the 'Type' parameter within /data/edit_type.php to neutralize malicious scripts. 2. Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts in the browser context. 3. Conduct a thorough code review of the Laundry System to identify and remediate other potential XSS or injection points. 4. If possible, isolate the Laundry System behind a web application firewall (WAF) configured to detect and block XSS payloads. 5. Educate users and administrators about the risks of clicking unknown links and encourage the use of updated browsers with built-in XSS protections. 6. Monitor logs for suspicious activities related to the 'Type' parameter and unusual user behavior. 7. Coordinate with the vendor or community to obtain or develop patches and apply them promptly once available. 8. Consider deploying multi-factor authentication (MFA) for access to the system to reduce the impact of session hijacking.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Poland
CVE-2025-5796: Cross Site Scripting in code-projects Laundry System
Description
A vulnerability has been found in code-projects Laundry System 1.0 and classified as problematic. This vulnerability affects unknown code of the file /data/edit_type.php. The manipulation of the argument Type leads to cross site scripting. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-5796 is a cross-site scripting (XSS) vulnerability identified in version 1.0 of the code-projects Laundry System, specifically within the /data/edit_type.php file. The vulnerability arises from improper sanitization or validation of the 'Type' parameter, which can be manipulated by an attacker to inject malicious scripts. This flaw allows an attacker to execute arbitrary JavaScript code in the context of the victim's browser when they access a crafted URL or interact with the affected web application. The vulnerability is remotely exploitable without requiring authentication, although it requires some user interaction (e.g., clicking a malicious link). The CVSS 4.0 base score is 5.1, indicating a medium severity level. The vector details highlight that the attack vector is network-based (AV:N), with low attack complexity (AC:L), no privileges required (PR:L), and user interaction needed (UI:P). The impact primarily affects confidentiality and integrity at a low level, with no impact on availability. The vulnerability does not affect system components beyond the web interface, and no known exploits are currently in the wild. No official patches or fixes have been linked yet, suggesting that organizations using this Laundry System version should consider mitigation strategies promptly. XSS vulnerabilities can be leveraged for session hijacking, defacement, phishing, or delivering malware, potentially compromising user data and trust in the affected system.
Potential Impact
For European organizations using the code-projects Laundry System 1.0, this vulnerability poses a risk primarily to the confidentiality and integrity of user sessions and data. If exploited, attackers could steal session cookies, perform actions on behalf of authenticated users, or redirect users to malicious sites, leading to potential data breaches or reputational damage. Given that laundry management systems often handle customer information and operational data, exploitation could disrupt business processes or lead to unauthorized access to sensitive information. Although the vulnerability does not directly impact availability, the indirect consequences such as loss of customer trust or regulatory penalties under GDPR for data breaches could be significant. The medium severity rating suggests that while the threat is not critical, it should not be ignored, especially in environments where the Laundry System is integrated with other business-critical systems or where user data privacy is paramount.
Mitigation Recommendations
1. Immediate mitigation should include implementing input validation and output encoding on the 'Type' parameter within /data/edit_type.php to neutralize malicious scripts. 2. Employ Content Security Policy (CSP) headers to restrict the execution of unauthorized scripts in the browser context. 3. Conduct a thorough code review of the Laundry System to identify and remediate other potential XSS or injection points. 4. If possible, isolate the Laundry System behind a web application firewall (WAF) configured to detect and block XSS payloads. 5. Educate users and administrators about the risks of clicking unknown links and encourage the use of updated browsers with built-in XSS protections. 6. Monitor logs for suspicious activities related to the 'Type' parameter and unusual user behavior. 7. Coordinate with the vendor or community to obtain or develop patches and apply them promptly once available. 8. Consider deploying multi-factor authentication (MFA) for access to the system to reduce the impact of session hijacking.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-06-06T08:31:06.937Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 68433e8671f4d251b5da039d
Added to database: 6/6/2025, 7:16:22 PM
Last enriched: 7/8/2025, 12:02:29 PM
Last updated: 8/15/2025, 6:50:32 PM
Views: 12
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