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CVE-2025-7788: OS Command Injection in Xuxueli xxl-job

Medium
VulnerabilityCVE-2025-7788cvecve-2025-7788
Published: Fri Jul 18 2025 (07/18/2025, 15:02:05 UTC)
Source: CVE Database V5
Vendor/Project: Xuxueli
Product: xxl-job

Description

A vulnerability has been found in Xuxueli xxl-job up to 3.1.1 and classified as critical. Affected by this vulnerability is the function commandJobHandler of the file src\main\java\com\xxl\job\executor\service\jobhandler\SampleXxlJob.java. The manipulation leads to os command injection. The attack can be launched remotely. The exploit has been disclosed to the public and may be used.

AI-Powered Analysis

AILast updated: 07/18/2025, 15:31:15 UTC

Technical Analysis

CVE-2025-7788 is a security vulnerability identified in the Xuxueli xxl-job software, specifically affecting versions 3.1.0 and 3.1.1. The vulnerability resides in the commandJobHandler function within the SampleXxlJob.java source file. It allows an attacker to perform OS command injection by manipulating inputs processed by this function. This means that an attacker can remotely execute arbitrary operating system commands on the affected server hosting the xxl-job executor component. The vulnerability does not require user interaction or authentication, and the attack vector is network-based, making it accessible remotely. The disclosed CVSS 4.0 score is 5.3 (medium severity), reflecting that the attack complexity is low, no privileges or user interaction are required, but the impact on confidentiality, integrity, and availability is limited to low. The vulnerability has been publicly disclosed, but there are no known exploits actively used in the wild at this time. The absence of patches or mitigation links suggests that users must rely on workarounds or vendor updates once available. The xxl-job framework is a distributed task scheduling platform widely used in enterprise Java environments to manage scheduled jobs, making this vulnerability relevant for organizations relying on this software for critical job execution.

Potential Impact

For European organizations using xxl-job versions 3.1.0 or 3.1.1, this vulnerability poses a risk of unauthorized remote code execution on servers running the job executor. Successful exploitation could allow attackers to execute arbitrary OS commands, potentially leading to data leakage, service disruption, or further lateral movement within the network. Although the CVSS score indicates medium severity, the lack of required authentication and remote exploitability increases the risk profile. The impact is particularly significant for organizations that use xxl-job to automate critical business processes or handle sensitive data. Disruption or compromise of these scheduled tasks could affect operational continuity and data integrity. Given the public disclosure, there is a risk that attackers may develop exploits, increasing the threat over time. European entities in sectors such as finance, manufacturing, and IT services that rely on Java-based scheduling frameworks should be vigilant. The vulnerability could also be leveraged as an initial foothold in targeted attacks or ransomware campaigns if exploited in combination with other vulnerabilities.

Mitigation Recommendations

Immediate mitigation steps include restricting network access to the xxl-job executor service to trusted hosts only, using firewall rules or network segmentation to limit exposure. Organizations should monitor logs for suspicious command execution patterns or unexpected job handler invocations. Applying strict input validation and sanitization on job parameters can reduce injection risk, although this requires code changes. Until an official patch is released by Xuxueli, consider upgrading to a non-affected version if available or disabling the vulnerable job handler functionality if feasible. Implementing runtime application self-protection (RASP) or endpoint detection and response (EDR) solutions can help detect and block exploitation attempts. Regularly review and audit scheduled jobs for unusual configurations or parameters. Finally, maintain an incident response plan to quickly isolate affected systems if exploitation is suspected.

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Technical Details

Data Version
5.1
Assigner Short Name
VulDB
Date Reserved
2025-07-18T07:33:42.040Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 687a653aa83201eaacf48a62

Added to database: 7/18/2025, 3:16:10 PM

Last enriched: 7/18/2025, 3:31:15 PM

Last updated: 8/12/2025, 1:36:53 AM

Views: 28

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