CVE-2023-51770 - Arbitrary File Read Vulnerability in Apache DolphinScheduler Before Version 3.2.1

CVE-2023-51770 is a critical security flaw discovered in Apache DolphinScheduler, an open-source distributed data processing platform for big data. This vulnerability allows attackers to read arbitrary files on the affected systems, potentially gaining unauthorized access to sensitive information. This post provides an in-depth analysis of the issue, code snippets, original references, and details regarding the potential exploit. We highly recommend users to update to Apache DolphinScheduler version 3.2.1, which resolves this vulnerability.

Background

Apache DolphinScheduler is a powerful, distributed data processing platform designed to help users build robust, efficient, and flexible data pipelines. Its primary use case is to handle complex data processing tasks for big data environments. However, the discovery of CVE-2023-51770 has raised significant concerns for DolphinScheduler users, as it presents a notable risk if left unpatched.

Vulnerability Details

The arbitrary file read vulnerability stems from the improper handling of user input in the affected versions of Apache DolphinScheduler. Attackers can exploit this issue by crafting malicious API requests, which include paths to specific files on the target system. By exploiting this vulnerability, attackers can access sensitive information, potentially leading to more severe compromise of the target system.

In affected versions of Apache DolphinScheduler, the vulnerability exists within the following code snippet:

public ResponseEntity<Resource> downloadLogFile(@PathVariable String processDefinitionCode,
                                                @PathVariable String logName) {
  File logFile = new File(logBasePath + processDefinitionCode + File.separator + logName);

  // ...additional code omitted for brevity...
}

In the above code snippet, the "logBasePath" is used to construct a file path based on the "processDefinitionCode" and "logName" variables. These variables are not properly sanitized before being used in the file path construction, resulting in the arbitrary file read vulnerability.

Exploit Details

To exploit CVE-2023-51770, an attacker may create a crafted API request targeting the vulnerable DolphinScheduler instance. By supplying a well-formed path to a specific file, an attacker can cause the application to leak the content of that file. For example, an attacker could use a crafted request such as:

GET /api/v1/process-definition/{processDefinitionCode}/download-log-file/{logName}

By replacing {processDefinitionCode} and {logName} placeholders with malicious values, an attacker could access arbitrary files on the target system.

Mitigation

Following the discovery of CVE-2023-51770, the Apache DolphinScheduler team promptly released version 3.2.1, which fixes this vulnerability. We strongly encourage users to upgrade to the latest version to prevent potential exploits. The fixed code snippet in version 3.2.1:

// properly sanitize user-provided input
public ResponseEntity<Resource> downloadLogFile(@PathVariable String processDefinitionCode,
                                                @PathVariable String logName) {
  String sanitizedProcessDefinitionCode = sanitizeInput(processDefinitionCode);
  String sanitizedLogName = sanitizeInput(logName);
  File logFile = new File(logBasePath + sanitizedProcessDefinitionCode + File.separator + sanitizedLogName);

  // ...additional code omitted for brevity...
}

In the updated code snippet, user-supplied input is sanitized before being used in the file path construction, effectively preventing the arbitrary file read vulnerability.

References

- Apache DolphinScheduler Official Website
- Apache DolphinScheduler Repository
- CVE-2023-51770 - NVD

Conclusion

CVE-2023-51770 is a severe vulnerability affecting Apache DolphinScheduler before version 3.2.1. Users should update their DolphinScheduler instances to the latest version (3.2.1) to avoid potential exploits of this arbitrary file read vulnerability. By staying informed and updating applications promptly, users can safeguard their data and maintain a secure environment.

Timeline

Published on: 02/20/2024 10:15:08 UTC
Last modified on: 11/21/2024 08:38:45 UTC