CVE-2026-52371 in xxl-job
Summary
by MITRE • 08/01/2026
A Server-Side Request Forgery (SSRF) in the xxl-job-admin/jobinfo/trigger component of xxl-job v3.4.0 allows authenticated attackers to scan resources via supplying a crafted HTTP request.
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Analysis
by VulDB Data Team • 08/01/2026
The vulnerability identified as Server-Side Request Forgery (SSRF) in xxl-job v3.4.0 represents a critical security flaw within the job scheduling system's administrative interface. This issue specifically affects the /xxl-job-admin/jobinfo/trigger component where authenticated users can manipulate request parameters to force the server to make unintended HTTP requests to internal or external resources. The vulnerability stems from insufficient input validation and sanitization of user-supplied data that flows directly into outbound network requests without proper authorization checks or destination restrictions. According to CWE-918, this weakness falls under the category of Server-Side Request Forgery, which is classified as a high-severity issue due to its potential for internal network reconnaissance and lateral movement within organizational infrastructures.
The technical implementation of this vulnerability allows an attacker with valid authentication credentials to construct malicious HTTP requests that bypass normal network security controls. When the xxl-job system processes these crafted requests through the trigger component, it fails to validate or restrict the target URLs that can be accessed, enabling attackers to probe internal systems such as cloud metadata services, database endpoints, or other internal infrastructure. The attack vector operates through parameter manipulation where specific input fields accept arbitrary URL values that are then processed by the underlying HTTP client library without adequate filtering mechanisms. This flaw directly violates the principle of least privilege and demonstrates poor input validation practices that are commonly exploited in penetration testing scenarios targeting enterprise job scheduling systems.
The operational impact of this vulnerability extends beyond simple information disclosure to potentially enable more sophisticated attack chains. An authenticated attacker could leverage this SSRF flaw to perform internal network scanning, access sensitive metadata services like AWS EC2 metadata endpoints or Azure Instance Metadata Service, or even attempt to reach database servers that are typically isolated from public networks. The vulnerability essentially transforms the legitimate job scheduling functionality into a reconnaissance and exploitation tool for attackers who have gained valid user credentials. This type of attack aligns with ATT&CK technique T1071.004 which describes application layer protocol usage for command and control communications, though in this case it's being used for internal reconnaissance rather than external communication.
Mitigation strategies should focus on implementing strict input validation and URL sanitization within the affected component to prevent arbitrary domain requests from being processed. Organizations should enforce network segmentation policies that isolate job scheduling systems from sensitive internal infrastructure, deploy web application firewalls with SSRF protection capabilities, and implement proper authentication controls to limit access to administrative components. Additionally, the system should be configured to use a whitelist approach for allowed destinations or employ network-level restrictions such as iptables rules that prevent outbound connections to internal IP ranges from the job scheduler service. Regular security audits of third-party components should be conducted to identify similar vulnerabilities in other parts of the application stack, as SSRF flaws are particularly common in systems that process user-provided URLs or network addresses. The vulnerability demonstrates the importance of applying the principle of least privilege and validating all external resource access through proper authorization controls rather than relying solely on authentication mechanisms.