CVE-2026-1148: Cross-Site Request Forgery in SourceCodester Patients Waiting Area Queue Management System
CVE-2026-1148 is a medium severity Cross-Site Request Forgery (CSRF) vulnerability affecting SourceCodester Patients Waiting Area Queue Management System version 1. 0. The flaw allows remote attackers to trick authenticated users into executing unwanted actions without their consent. Exploitation requires no privileges and no user authentication but does require user interaction, such as clicking a malicious link. The vulnerability impacts the integrity of the system by enabling unauthorized state-changing requests. No known exploits are currently in the wild, and no patches have been published yet. European healthcare organizations using this queue management system could face operational disruptions or unauthorized data modifications. Mitigation involves implementing anti-CSRF tokens, validating HTTP Referer headers, and enforcing strict session management. Countries with significant healthcare IT adoption and usage of SourceCodester products, such as Germany, France, and the UK, are more likely to be affected. Given the medium CVSS score of 5.
AI Analysis
Technical Summary
CVE-2026-1148 identifies a Cross-Site Request Forgery (CSRF) vulnerability in version 1.0 of the SourceCodester Patients Waiting Area Queue Management System, a software solution used to manage patient queues in healthcare facilities. CSRF vulnerabilities occur when an attacker tricks an authenticated user into submitting unauthorized requests to a web application, exploiting the user's active session. This particular vulnerability allows remote attackers to perform state-changing operations without requiring authentication or elevated privileges, relying solely on user interaction such as clicking a crafted link or visiting a malicious webpage. The vulnerability affects the integrity of the system by enabling unauthorized modifications to queue data or patient management functions, potentially disrupting healthcare operations. The CVSS 4.0 base score is 5.3 (medium severity), reflecting that the attack vector is network-based with low attack complexity and no privileges required, but user interaction is necessary. No known exploits have been reported in the wild, and no official patches have been released as of the publication date. The lack of anti-CSRF protections such as tokens or referer validation likely contributes to this vulnerability. Given the critical role of queue management in healthcare settings, exploitation could lead to patient service delays, data inconsistencies, or unauthorized changes to patient flow management.
Potential Impact
For European healthcare organizations, this vulnerability poses risks to the integrity and availability of patient queue management systems. Unauthorized state changes could disrupt patient scheduling, leading to delays, mismanagement of patient flow, and potential patient safety concerns. While confidentiality impact is minimal, integrity and availability impacts are significant in a healthcare context where timely patient processing is critical. Disruptions could also erode patient trust and lead to regulatory scrutiny under GDPR if patient care is affected. The remote and unauthenticated nature of the attack increases the threat surface, especially in environments where users access the system via web browsers without additional protections. The absence of known exploits currently limits immediate risk, but the medium severity score and critical operational role of the software necessitate proactive mitigation.
Mitigation Recommendations
Organizations should implement robust anti-CSRF protections immediately. This includes adding unique, unpredictable CSRF tokens to all state-changing forms and validating these tokens on the server side. Additionally, validating the HTTP Referer or Origin headers can help detect and block unauthorized cross-origin requests. Session management should be tightened to ensure sessions expire appropriately and are invalidated after logout. User education on avoiding suspicious links and phishing attempts can reduce the risk of user interaction exploitation. Network-level protections such as web application firewalls (WAFs) can be configured to detect and block CSRF attack patterns. Since no official patch is available, organizations should consider isolating or restricting access to the affected system until mitigations are in place. Monitoring logs for unusual request patterns can help detect attempted exploitation. Finally, organizations should engage with the vendor or community to obtain or develop patches and updates.
Affected Countries
Germany, France, United Kingdom, Italy, Spain, Netherlands, Belgium, Sweden
CVE-2026-1148: Cross-Site Request Forgery in SourceCodester Patients Waiting Area Queue Management System
Description
CVE-2026-1148 is a medium severity Cross-Site Request Forgery (CSRF) vulnerability affecting SourceCodester Patients Waiting Area Queue Management System version 1. 0. The flaw allows remote attackers to trick authenticated users into executing unwanted actions without their consent. Exploitation requires no privileges and no user authentication but does require user interaction, such as clicking a malicious link. The vulnerability impacts the integrity of the system by enabling unauthorized state-changing requests. No known exploits are currently in the wild, and no patches have been published yet. European healthcare organizations using this queue management system could face operational disruptions or unauthorized data modifications. Mitigation involves implementing anti-CSRF tokens, validating HTTP Referer headers, and enforcing strict session management. Countries with significant healthcare IT adoption and usage of SourceCodester products, such as Germany, France, and the UK, are more likely to be affected. Given the medium CVSS score of 5.
AI-Powered Analysis
Technical Analysis
CVE-2026-1148 identifies a Cross-Site Request Forgery (CSRF) vulnerability in version 1.0 of the SourceCodester Patients Waiting Area Queue Management System, a software solution used to manage patient queues in healthcare facilities. CSRF vulnerabilities occur when an attacker tricks an authenticated user into submitting unauthorized requests to a web application, exploiting the user's active session. This particular vulnerability allows remote attackers to perform state-changing operations without requiring authentication or elevated privileges, relying solely on user interaction such as clicking a crafted link or visiting a malicious webpage. The vulnerability affects the integrity of the system by enabling unauthorized modifications to queue data or patient management functions, potentially disrupting healthcare operations. The CVSS 4.0 base score is 5.3 (medium severity), reflecting that the attack vector is network-based with low attack complexity and no privileges required, but user interaction is necessary. No known exploits have been reported in the wild, and no official patches have been released as of the publication date. The lack of anti-CSRF protections such as tokens or referer validation likely contributes to this vulnerability. Given the critical role of queue management in healthcare settings, exploitation could lead to patient service delays, data inconsistencies, or unauthorized changes to patient flow management.
Potential Impact
For European healthcare organizations, this vulnerability poses risks to the integrity and availability of patient queue management systems. Unauthorized state changes could disrupt patient scheduling, leading to delays, mismanagement of patient flow, and potential patient safety concerns. While confidentiality impact is minimal, integrity and availability impacts are significant in a healthcare context where timely patient processing is critical. Disruptions could also erode patient trust and lead to regulatory scrutiny under GDPR if patient care is affected. The remote and unauthenticated nature of the attack increases the threat surface, especially in environments where users access the system via web browsers without additional protections. The absence of known exploits currently limits immediate risk, but the medium severity score and critical operational role of the software necessitate proactive mitigation.
Mitigation Recommendations
Organizations should implement robust anti-CSRF protections immediately. This includes adding unique, unpredictable CSRF tokens to all state-changing forms and validating these tokens on the server side. Additionally, validating the HTTP Referer or Origin headers can help detect and block unauthorized cross-origin requests. Session management should be tightened to ensure sessions expire appropriately and are invalidated after logout. User education on avoiding suspicious links and phishing attempts can reduce the risk of user interaction exploitation. Network-level protections such as web application firewalls (WAFs) can be configured to detect and block CSRF attack patterns. Since no official patch is available, organizations should consider isolating or restricting access to the affected system until mitigations are in place. Monitoring logs for unusual request patterns can help detect attempted exploitation. Finally, organizations should engage with the vendor or community to obtain or develop patches and updates.
Affected Countries
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-01-18T13:50:23.362Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 696dfc59d302b072d996adb0
Added to database: 1/19/2026, 9:41:45 AM
Last enriched: 1/26/2026, 8:03:09 PM
Last updated: 2/7/2026, 12:34:44 AM
Views: 39
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Related Threats
CVE-2026-25762: CWE-400: Uncontrolled Resource Consumption in adonisjs core
HighCVE-2026-25754: CWE-1321: Improperly Controlled Modification of Object Prototype Attributes ('Prototype Pollution') in adonisjs core
HighCVE-2026-25644: CWE-295: Improper Certificate Validation in datahub-project datahub
HighCVE-2026-25804: CWE-287: Improper Authentication in antrea-io antrea
HighCVE-2026-25803: CWE-798: Use of Hard-coded Credentials in denpiligrim 3dp-manager
CriticalActions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console in Console -> Billing for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.