CVE-2024-30188 Scanner

Apache DolphinScheduler is a distributed and extensible data workflow scheduler platform designed for the data development lifecycle. It is widely used by data engineers, analysts, and data scientists for planning and managing data workflows. Serving primarily as a tool for orchestrating data pipelines, it automates complex tasks in data processing. Apache DolphinScheduler is utilized by organizations to streamline the execution of batch data processing and to ensure data consistency. Its main aim is to provide a powerful yet easy-to-use platform that manages the scheduling and execution of complex data processes. Organizations adopt it for its scalability and support for distributed environments.

The vulnerability under discussion involves the arbitrary file read flaw in Apache DolphinScheduler. This vulnerability allows an authenticated user to gain unauthorized access to read files on the server where the application is hosted. Exploitation of this flaw could expose sensitive data stored in system files, as the attacker can execute a well-crafted request to the server. This is particularly concerning as it can bypass regular user permissions, granting access to critical system or configuration files. Authenticated users with lower privilege levels might utilize this flaw to escalate privileges by extracting sensitive data. This flaw exposes the platform to potential data breach scenarios in environments where it is deployed.

In technical terms, the vulnerability is linked to insufficient validation in resource file access operations. It enables the crafting of specific HTTP requests that cause the server to read unintended files using path traversal techniques. The flaw predominantly affects APIs handling resource management, specifically demonstrated in the resource download endpoint. An attacker must have initial access with valid credentials to exploit this flaw, mainly targeting vulnerable API endpoints with crafted requests. The lack of directory restrictions during file path validation is what contributes primarily to this vulnerability being exploitable. Consequently, this permits attackers to access arbitrary files by manipulating request parameters that aren't sufficiently sanitized.

The exploitation of this vulnerability could lead to severe repercussions including the leakage of sensitive information like user credentials, system configuration data, or other confidential files. This could further lead to privilege escalation if attackers access sensitive data that allows them to perform higher privileged operations. For organizations, this can result in unauthorized disclosure of proprietary or sensitive business information. If the server hosts multiple applications, there is also a risk of exposing data belonging to other applications on the same server. Moreover, access to configuration files might provide insights into other systems and applications, broadening the attack vector.

REFERENCES

• https://github.com/advisories/GHSA-4vv4-crw4-8pcw
• https://github.com/Mr-xn/Penetration_Testing_POC
• https://nvd.nist.gov/vuln/detail/CVE-2024-30188