CVE-2020-23814 Scanner

XXL-JOB is a distributed job scheduling framework from Xuxueli, used extensively in microservice architectures to manage and execute job tasks efficiently. Enterprises and cloud service providers utilize XXL-JOB for its simple design and comprehensive scheduling capabilities, which include both time-based and event-triggered schedules. The platform facilitates easy integration with existing systems, allowing developers to automate workflows and job executions seamlessly. It's commonly adopted by software development teams aiming to leverage distributed and scalable scheduling features. Its Java-based framework is compatible with a wide range of environments, simplifying deployment and configuration. XXL-JOB offers an intuitive UI for task management, ensuring that businesses can streamline job execution across various applications and services.

The vulnerability identified in XXL-JOB v2.2.0 is a stored Cross-Site Scripting (XSS) attack. This vulnerability arises when malicious scripts are injected and stored on the affected application, leading to execution in the context of the user's browser. Stored XSS can result in significant security risks, enabling attackers to steal cookies, session tokens, or even user credentials. By exploiting this vulnerability, attackers can manipulate the content displayed on the site or perform actions on behalf of the affected user. The presence of XSS vulnerabilities indicates insufficient input validation and sanitation, ultimately exposing the application to unauthorized script execution. The identified issue particularly affects parameters such as 'AppName' and 'AddressList' in the JobGroupController.java file.

The technical details of this XSS vulnerability involve injecting harmful scripts into fields like 'AppName' and 'AddressList'. When user input is stored within the application without proper sanitation, it may later render the malicious script in the browser of anyone viewing the affected page. In XXL-JOB v2.2.0, the exploitation is achievable through crafted requests sent to the JobGroupController, where these parameters are accepted without adequate sanitization. The scripts then execute in the browser, allowing attackers to perform actions such as displaying phishing dialogues or modifying the web content dynamically. This vulnerability is due to a lack of escaping output data combined with insufficient CSP (Content Security Policy) on the target application, making it a prime target for malicious actors seeking to compromise user trust and data integrity.

When exploited, this XSS vulnerability could have several adverse effects on enterprises using XXL-JOB. An attacker could hijack user sessions, enabling unauthorized actions or data theft, which could lead to data breaches and loss of monetary assets. The integrity of client systems might be compromised, resulting in unauthorized access to sensitive or confidential information. Beyond immediate security concerns, exploited XSS vulnerabilities can tarnish an organization's reputation, leading to loss of customer trust and potential financial repercussions. Also, compromised applications with XSS vulnerabilities can serve as entry points for more sophisticated attacks, escalating overall security risks. Businesses may experience additional downtime or service disruptions as they attempt to remediate impacted systems and reassess security stances.

REFERENCES

• https://github.com/xuxueli/xxl-job/issues/1866
• https://www.ccsq8.com/issues.html