CVE-2025-9264: Improper Control of Resource Identifiers in Xuxueli xxl-job
A vulnerability was found in Xuxueli xxl-job up to 3.1.1. Affected by this issue is the function remove of the file /src/main/java/com/xxl/job/admin/controller/JobInfoController.java of the component Jobs Handler. Performing manipulation of the argument ID results in improper control of resource identifiers. Remote exploitation of the attack is possible. The exploit has been made public and could be used.
AI Analysis
Technical Summary
CVE-2025-9264 is a medium-severity vulnerability affecting Xuxueli's xxl-job versions up to 3.1.1, specifically in the Jobs Handler component. The flaw exists in the remove function of the JobInfoController.java source file, where improper control of resource identifiers occurs due to insufficient validation or sanitization of the ID argument. This allows an attacker to manipulate the ID parameter remotely without authentication or user interaction, potentially leading to unauthorized deletion or modification of job entries managed by the xxl-job scheduler. The vulnerability is exploitable over the network with low attack complexity and no privileges required, though it does require some level of limited privileges (PR:L) according to the CVSS vector. The impact primarily affects the integrity and availability of scheduled jobs, as malicious actors could remove or alter job configurations, disrupting automated task execution. While no public exploits are currently observed in the wild, proof-of-concept code has been made available, increasing the risk of exploitation. The vulnerability does not affect confidentiality directly but can cause operational disruptions in environments relying on xxl-job for critical scheduling tasks. No official patches have been linked yet, so mitigation relies on access controls and monitoring until updates are released.
Potential Impact
For European organizations using xxl-job for job scheduling, this vulnerability poses a risk to operational continuity and integrity of automated workflows. Disruption or unauthorized deletion of scheduled jobs can lead to missed critical business processes, data processing delays, or cascading failures in dependent systems. Industries with high reliance on automation, such as manufacturing, finance, and telecommunications, may experience service degradation or outages. Since exploitation requires no user interaction and can be performed remotely, attackers could leverage this vulnerability to cause denial of service or sabotage internal processes. The medium CVSS score reflects moderate risk, but the availability of public exploit code increases urgency. Organizations in Europe with deployments of xxl-job versions 3.1.0 or 3.1.1 should consider this a significant operational threat, especially where job scheduling is integral to business functions.
Mitigation Recommendations
1. Immediate mitigation should include restricting network access to the xxl-job admin interface to trusted IP addresses and internal networks only, minimizing exposure to remote attackers. 2. Implement strict authentication and authorization controls around job management endpoints, ensuring only authorized personnel can invoke the remove function. 3. Monitor logs for unusual or unauthorized job removal attempts to detect exploitation attempts early. 4. If possible, upgrade to a newer, patched version of xxl-job once available from the vendor. 5. In the absence of an official patch, consider applying custom input validation or filtering on the ID parameter at the web application firewall (WAF) or reverse proxy level to block suspicious requests. 6. Conduct a thorough audit of existing scheduled jobs to identify critical tasks and prepare contingency plans for rapid restoration if disruption occurs. 7. Educate operational teams about the vulnerability and establish incident response procedures specific to job scheduler compromise.
Affected Countries
Germany, France, United Kingdom, Netherlands, Italy, Spain, Poland, Sweden
CVE-2025-9264: Improper Control of Resource Identifiers in Xuxueli xxl-job
Description
A vulnerability was found in Xuxueli xxl-job up to 3.1.1. Affected by this issue is the function remove of the file /src/main/java/com/xxl/job/admin/controller/JobInfoController.java of the component Jobs Handler. Performing manipulation of the argument ID results in improper control of resource identifiers. Remote exploitation of the attack is possible. The exploit has been made public and could be used.
AI-Powered Analysis
Technical Analysis
CVE-2025-9264 is a medium-severity vulnerability affecting Xuxueli's xxl-job versions up to 3.1.1, specifically in the Jobs Handler component. The flaw exists in the remove function of the JobInfoController.java source file, where improper control of resource identifiers occurs due to insufficient validation or sanitization of the ID argument. This allows an attacker to manipulate the ID parameter remotely without authentication or user interaction, potentially leading to unauthorized deletion or modification of job entries managed by the xxl-job scheduler. The vulnerability is exploitable over the network with low attack complexity and no privileges required, though it does require some level of limited privileges (PR:L) according to the CVSS vector. The impact primarily affects the integrity and availability of scheduled jobs, as malicious actors could remove or alter job configurations, disrupting automated task execution. While no public exploits are currently observed in the wild, proof-of-concept code has been made available, increasing the risk of exploitation. The vulnerability does not affect confidentiality directly but can cause operational disruptions in environments relying on xxl-job for critical scheduling tasks. No official patches have been linked yet, so mitigation relies on access controls and monitoring until updates are released.
Potential Impact
For European organizations using xxl-job for job scheduling, this vulnerability poses a risk to operational continuity and integrity of automated workflows. Disruption or unauthorized deletion of scheduled jobs can lead to missed critical business processes, data processing delays, or cascading failures in dependent systems. Industries with high reliance on automation, such as manufacturing, finance, and telecommunications, may experience service degradation or outages. Since exploitation requires no user interaction and can be performed remotely, attackers could leverage this vulnerability to cause denial of service or sabotage internal processes. The medium CVSS score reflects moderate risk, but the availability of public exploit code increases urgency. Organizations in Europe with deployments of xxl-job versions 3.1.0 or 3.1.1 should consider this a significant operational threat, especially where job scheduling is integral to business functions.
Mitigation Recommendations
1. Immediate mitigation should include restricting network access to the xxl-job admin interface to trusted IP addresses and internal networks only, minimizing exposure to remote attackers. 2. Implement strict authentication and authorization controls around job management endpoints, ensuring only authorized personnel can invoke the remove function. 3. Monitor logs for unusual or unauthorized job removal attempts to detect exploitation attempts early. 4. If possible, upgrade to a newer, patched version of xxl-job once available from the vendor. 5. In the absence of an official patch, consider applying custom input validation or filtering on the ID parameter at the web application firewall (WAF) or reverse proxy level to block suspicious requests. 6. Conduct a thorough audit of existing scheduled jobs to identify critical tasks and prepare contingency plans for rapid restoration if disruption occurs. 7. Educate operational teams about the vulnerability and establish incident response procedures specific to job scheduler compromise.
Affected Countries
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Technical Details
- Data Version
- 5.1
- Assigner Short Name
- VulDB
- Date Reserved
- 2025-08-20T14:17:23.174Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 68a65ea4ad5a09ad0009b8bc
Added to database: 8/20/2025, 11:47:48 PM
Last enriched: 8/28/2025, 1:31:06 AM
Last updated: 10/5/2025, 8:30:38 AM
Views: 45
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