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CVE-2025-62233: Medium Vulnerability in Apache DolphinScheduler

A medium-severity deserialization vulnerability in Apache DolphinScheduler affects versions 3.2.0 to 3.3.0. Attackers can exploit this flaw remotely. Immediate patching is necessary to mitigate risks.

MEDIUMCVSS 6.3 · Published April 24, 2026

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The recently identified vulnerability, classified as CVE-2025-62233, involves a deserialization of untrusted data in the Apache DolphinScheduler RPC module. This issue affects Apache DolphinScheduler versions 3.2.0 through 3.3.0. Attackers who can access the Master or Worker nodes are capable of compromising the system by injecting a malicious class type into a StandardRpcRequest and sending RPC requests to the Master or Worker nodes.

With a CVSS score of 6.3, this vulnerability is rated as medium severity. It is essential to understand the implications of such vulnerabilities, as they can lead to unauthorized access and potential data breaches. The risk to organizations includes the possibility of attackers using this vulnerability to exploit the system remotely.

Organizations are urged to prioritize patching this vulnerability immediately by upgrading to version 3.3.1, which fixes the issue. Failing to address this vulnerability may expose organizations to various security threats and complications.

This vulnerability demonstrates the ongoing challenges in software security, particularly in remote execution environments. Continuous vigilance and timely updates are necessary to maintain secure systems.

Vulnerability Details

Officially, CVE-2025-62233 is described as a deserialization of untrusted data vulnerability in Apache DolphinScheduler, specifically in the RPC module. This vulnerability impacts versions >= 3.2.0 and < 3.3.1. The affected products include the Apache DolphinScheduler, and the issue was first published on April 24, 2026. The associated CWE classification for this vulnerability is CWE-502.

Technical Analysis

The root cause of this vulnerability lies in the improper handling of untrusted data during deserialization processes within the RPC module. The attack vector is network-based, and the complexity of the attack is rated as low, requiring only low privileges to exploit. Importantly, user interaction is not required for an attacker to exploit this vulnerability.

The impacts on confidentiality, integrity, and availability are rated as low, meaning that while the potential damage may be limited, the risk of exploitation remains significant, particularly in environments that handle sensitive data.

Risk & Impact Analysis

The real-world deployment risk associated with this vulnerability is moderate. Organizations utilizing Apache DolphinScheduler in their environments should be aware of the potential for exploitation. The blast radius could extend to any system utilizing affected versions, allowing for unauthorized access and manipulation of data. Given the CVSS score of 6.3, organizations should address this vulnerability in their priority patch cycle.

The urgency for patching is critical. Organizations should prioritize patching immediately to mitigate the risk of exploitation and potential data compromise.

Exploitation Status

Signal

Status

Known Exploit

No

Public PoC

No

Actively Exploited

No

Ransomware Use

No

Affected Versions

The affected versions of Apache DolphinScheduler are those from version 3.2.0 to version 3.3.0. Organizations using these versions should upgrade to version 3.3.1 to remediate this vulnerability.

Mitigation & Remediation

Organizations are recommended to upgrade to version 3.3.1 of Apache DolphinScheduler, which addresses this vulnerability. If immediate patching is not possible, organizations should implement network controls to restrict access to Master and Worker nodes to trusted sources only. Additionally, monitoring should be enhanced to detect any unauthorized RPC requests.

For further information on securing your applications, organizations may consider engaging in penetration testing and security assessments to identify potential weaknesses.

Detection Guidance

To detect potential exploitation attempts, organizations should monitor logs for unusual RPC requests to the Master and Worker nodes. Key indicators include unexpected class types being deserialized and any anomalies in user access patterns. Establishing signatures for typical RPC requests can aid in identifying malicious activity.

AppSecure Threat Intelligence Insight

The long-term significance of CVE-2025-62233 lies in its reflection of the challenges associated with deserialization vulnerabilities. These types of vulnerabilities can be insidious and may lead to substantial security breaches if not properly mitigated. Security teams should focus on understanding the patterns these vulnerabilities represent and ensure comprehensive testing of deserialization processes in their applications.

This vulnerability serves as a reminder to conduct regular security assessments and maintain an active vulnerability management program that aligns with industry best practices.

For organizations utilizing cloud infrastructures, consider reviewing the cloud penetration testing guide to enhance security practices.

In conclusion, CVE-2025-62233 highlights the critical need for security awareness and proactive measures to protect against vulnerabilities that can be exploited without significant barriers.

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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