CVE-2025-9263: Improper Control of Resource Identifiers in Xuxueli xxl-job
A vulnerability has been found in Xuxueli xxl-job up to 3.1.1. Affected by this vulnerability is the function getJobsByGroup of the file /src/main/java/com/xxl/job/admin/controller/JobLogController.java. Such manipulation of the argument jobGroup leads to improper control of resource identifiers. The attack may be launched remotely. The exploit has been disclosed to the public and may be used.
AI Analysis
Technical Summary
CVE-2025-9263 is a medium-severity vulnerability affecting versions 3.1.0 and 3.1.1 of the Xuxueli xxl-job software, specifically within the getJobsByGroup function in the JobLogController.java source file. The vulnerability arises from improper control of resource identifiers, where manipulation of the jobGroup argument allows an attacker to influence resource access in an unintended manner. This flaw can be exploited remotely without requiring user interaction or authentication, as indicated by the CVSS vector (AV:N/AC:L/PR:L/UI:N). The vulnerability does not impact confidentiality, integrity, or availability directly but allows an attacker with limited privileges to potentially access or manipulate job logs or job group data beyond their authorization scope. Although no known exploits are currently observed in the wild, the public disclosure of the exploit code increases the risk of exploitation. The vulnerability is rooted in insufficient validation or authorization checks on the jobGroup parameter, enabling attackers to control resource identifiers improperly and potentially access or interfere with job scheduling or logging data. The lack of patches or official remediation links at this time necessitates immediate attention from users of affected versions to mitigate risk.
Potential Impact
For European organizations using xxl-job versions 3.1.0 or 3.1.1, this vulnerability poses a risk of unauthorized access or manipulation of job scheduling and logging data. Given that xxl-job is a distributed task scheduling framework commonly used in enterprise environments for job automation, exploitation could lead to disruption of automated workflows, exposure of sensitive operational data, or unauthorized job execution control. While the vulnerability does not directly compromise system confidentiality or availability, the ability to manipulate resource identifiers remotely with low complexity and no user interaction could facilitate lateral movement or privilege escalation in complex environments. This risk is particularly relevant for industries relying heavily on automated job scheduling such as manufacturing, finance, and IT services prevalent in Europe. The public availability of exploit code increases the urgency for European organizations to assess their exposure and implement mitigations to prevent potential exploitation that could disrupt critical business processes or leak operational data.
Mitigation Recommendations
European organizations should immediately audit their deployments of xxl-job to identify affected versions (3.1.0 and 3.1.1). Until an official patch is released, organizations should implement strict network-level access controls to restrict access to the xxl-job administrative interfaces, limiting exposure to trusted internal networks only. Employing Web Application Firewalls (WAFs) with custom rules to detect and block anomalous jobGroup parameter values can reduce exploitation risk. Additionally, review and tighten authorization checks within the application to ensure that jobGroup parameters are validated against user permissions before processing. Monitoring logs for unusual access patterns or repeated attempts to manipulate jobGroup parameters can provide early detection of exploitation attempts. Organizations should also engage with the vendor or community to track patch releases and apply updates promptly once available. Finally, consider isolating the xxl-job service in segmented network zones to minimize potential lateral movement if exploited.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden
CVE-2025-9263: Improper Control of Resource Identifiers in Xuxueli xxl-job
Description
A vulnerability has been found in Xuxueli xxl-job up to 3.1.1. Affected by this vulnerability is the function getJobsByGroup of the file /src/main/java/com/xxl/job/admin/controller/JobLogController.java. Such manipulation of the argument jobGroup leads to improper control of resource identifiers. The attack may be launched remotely. The exploit has been disclosed to the public and may be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-9263 is a medium-severity vulnerability affecting versions 3.1.0 and 3.1.1 of the Xuxueli xxl-job software, specifically within the getJobsByGroup function in the JobLogController.java source file. The vulnerability arises from improper control of resource identifiers, where manipulation of the jobGroup argument allows an attacker to influence resource access in an unintended manner. This flaw can be exploited remotely without requiring user interaction or authentication, as indicated by the CVSS vector (AV:N/AC:L/PR:L/UI:N). The vulnerability does not impact confidentiality, integrity, or availability directly but allows an attacker with limited privileges to potentially access or manipulate job logs or job group data beyond their authorization scope. Although no known exploits are currently observed in the wild, the public disclosure of the exploit code increases the risk of exploitation. The vulnerability is rooted in insufficient validation or authorization checks on the jobGroup parameter, enabling attackers to control resource identifiers improperly and potentially access or interfere with job scheduling or logging data. The lack of patches or official remediation links at this time necessitates immediate attention from users of affected versions to mitigate risk.
Potential Impact
For European organizations using xxl-job versions 3.1.0 or 3.1.1, this vulnerability poses a risk of unauthorized access or manipulation of job scheduling and logging data. Given that xxl-job is a distributed task scheduling framework commonly used in enterprise environments for job automation, exploitation could lead to disruption of automated workflows, exposure of sensitive operational data, or unauthorized job execution control. While the vulnerability does not directly compromise system confidentiality or availability, the ability to manipulate resource identifiers remotely with low complexity and no user interaction could facilitate lateral movement or privilege escalation in complex environments. This risk is particularly relevant for industries relying heavily on automated job scheduling such as manufacturing, finance, and IT services prevalent in Europe. The public availability of exploit code increases the urgency for European organizations to assess their exposure and implement mitigations to prevent potential exploitation that could disrupt critical business processes or leak operational data.
Mitigation Recommendations
European organizations should immediately audit their deployments of xxl-job to identify affected versions (3.1.0 and 3.1.1). Until an official patch is released, organizations should implement strict network-level access controls to restrict access to the xxl-job administrative interfaces, limiting exposure to trusted internal networks only. Employing Web Application Firewalls (WAFs) with custom rules to detect and block anomalous jobGroup parameter values can reduce exploitation risk. Additionally, review and tighten authorization checks within the application to ensure that jobGroup parameters are validated against user permissions before processing. Monitoring logs for unusual access patterns or repeated attempts to manipulate jobGroup parameters can provide early detection of exploitation attempts. Organizations should also engage with the vendor or community to track patch releases and apply updates promptly once available. Finally, consider isolating the xxl-job service in segmented network zones to minimize potential lateral movement if exploited.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-08-20T14:17:13.800Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 68a6579cad5a09ad000991cd
Added to database: 8/20/2025, 11:17:48 PM
Last enriched: 8/28/2025, 1:30:54 AM
Last updated: 10/5/2025, 8:30:38 AM
Views: 34
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