CVE-2025-4819: Improper Authorization in y_project RuoYi
A vulnerability classified as problematic has been found in y_project RuoYi 4.8.0. Affected is an unknown function of the file /monitor/online/batchForceLogout of the component Offline Logout. The manipulation of the argument ids leads to improper authorization. It is possible to launch the attack remotely. The complexity of an attack is rather high. The exploitability is told to be difficult. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-4819 is a vulnerability identified in version 4.8.0 of the y_project RuoYi software, specifically within the /monitor/online/batchForceLogout endpoint of the Offline Logout component. The vulnerability arises due to improper authorization when handling the 'ids' argument, which can be manipulated by an attacker. This flaw allows an attacker to remotely invoke the batchForceLogout function without proper authorization checks, potentially forcing the logout of users. However, the attack complexity is rated as high, indicating that exploitation requires significant effort or conditions to be met, and the exploitability is considered difficult. No user interaction or privileges beyond low-level privileges are needed, but the attacker must be able to send crafted requests remotely. The CVSS 4.0 base score is 2.3, reflecting a low severity primarily because the impact on confidentiality, integrity, and availability is limited, and the scope of affected systems is narrow. The vulnerability does not require user interaction and does not affect confidentiality or integrity directly but may impact availability by forcibly logging out users. Although the exploit has been publicly disclosed, there are no known exploits actively used in the wild at this time. No official patches have been linked yet, so mitigation may rely on configuration or access control adjustments until a fix is available.
Potential Impact
For European organizations using y_project RuoYi 4.8.0, this vulnerability could lead to unauthorized forced logouts of users, potentially disrupting business operations that rely on continuous user sessions. While the impact on confidentiality and integrity is minimal, availability could be affected, especially in environments where session continuity is critical, such as financial services, healthcare, or government portals. The forced logout could cause denial of service to legitimate users, leading to productivity loss and user frustration. However, given the high complexity and difficulty of exploitation, the immediate risk is low. Organizations with exposed RuoYi management interfaces accessible over the internet or poorly segmented internal networks are more at risk. The lack of known active exploitation reduces urgency but does not eliminate the need for vigilance, especially in sectors with high compliance requirements or where session management is critical.
Mitigation Recommendations
1. Restrict access to the /monitor/online/batchForceLogout endpoint by implementing strict network segmentation and firewall rules to limit access only to trusted administrators and internal networks. 2. Implement strong authentication and authorization controls, ensuring that only properly privileged users can invoke logout functions. 3. Monitor logs for unusual or repeated batch logout requests that could indicate exploitation attempts. 4. Until an official patch is released, consider disabling or restricting the Offline Logout feature if feasible. 5. Conduct regular security assessments and penetration tests focusing on authorization controls within the RuoYi platform. 6. Keep abreast of vendor updates and apply patches promptly once available. 7. Educate administrators about the risks of exposing management interfaces and enforce the principle of least privilege.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden
CVE-2025-4819: Improper Authorization in y_project RuoYi
Description
A vulnerability classified as problematic has been found in y_project RuoYi 4.8.0. Affected is an unknown function of the file /monitor/online/batchForceLogout of the component Offline Logout. The manipulation of the argument ids leads to improper authorization. It is possible to launch the attack remotely. The complexity of an attack is rather high. The exploitability is told to be difficult. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-4819 is a vulnerability identified in version 4.8.0 of the y_project RuoYi software, specifically within the /monitor/online/batchForceLogout endpoint of the Offline Logout component. The vulnerability arises due to improper authorization when handling the 'ids' argument, which can be manipulated by an attacker. This flaw allows an attacker to remotely invoke the batchForceLogout function without proper authorization checks, potentially forcing the logout of users. However, the attack complexity is rated as high, indicating that exploitation requires significant effort or conditions to be met, and the exploitability is considered difficult. No user interaction or privileges beyond low-level privileges are needed, but the attacker must be able to send crafted requests remotely. The CVSS 4.0 base score is 2.3, reflecting a low severity primarily because the impact on confidentiality, integrity, and availability is limited, and the scope of affected systems is narrow. The vulnerability does not require user interaction and does not affect confidentiality or integrity directly but may impact availability by forcibly logging out users. Although the exploit has been publicly disclosed, there are no known exploits actively used in the wild at this time. No official patches have been linked yet, so mitigation may rely on configuration or access control adjustments until a fix is available.
Potential Impact
For European organizations using y_project RuoYi 4.8.0, this vulnerability could lead to unauthorized forced logouts of users, potentially disrupting business operations that rely on continuous user sessions. While the impact on confidentiality and integrity is minimal, availability could be affected, especially in environments where session continuity is critical, such as financial services, healthcare, or government portals. The forced logout could cause denial of service to legitimate users, leading to productivity loss and user frustration. However, given the high complexity and difficulty of exploitation, the immediate risk is low. Organizations with exposed RuoYi management interfaces accessible over the internet or poorly segmented internal networks are more at risk. The lack of known active exploitation reduces urgency but does not eliminate the need for vigilance, especially in sectors with high compliance requirements or where session management is critical.
Mitigation Recommendations
1. Restrict access to the /monitor/online/batchForceLogout endpoint by implementing strict network segmentation and firewall rules to limit access only to trusted administrators and internal networks. 2. Implement strong authentication and authorization controls, ensuring that only properly privileged users can invoke logout functions. 3. Monitor logs for unusual or repeated batch logout requests that could indicate exploitation attempts. 4. Until an official patch is released, consider disabling or restricting the Offline Logout feature if feasible. 5. Conduct regular security assessments and penetration tests focusing on authorization controls within the RuoYi platform. 6. Keep abreast of vendor updates and apply patches promptly once available. 7. Educate administrators about the risks of exposing management interfaces and enforce the principle of least privilege.
Affected Countries
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-05-16T09:08:51.078Z
- Cisa Enriched
- true
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 682cd0f81484d88663aeb687
Added to database: 5/20/2025, 6:59:04 PM
Last enriched: 7/11/2025, 6:47:54 PM
Last updated: 1/7/2026, 4:18:26 AM
Views: 45
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