CVE-2025-29953
CVE-2025-29953
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
Deserialization of Untrusted Data vulnerability in Apache ActiveMQ NMS OpenWire Client. This issue affects Apache ActiveMQ NMS OpenWire Client before 2.1.1 when performing connections to untrusted servers. Such servers could abuse the unbounded deserialization in the client to provide malicious responses that may eventually cause arbitrary code execution on the client. Version 2.1.0 introduced a allow/denylist feature to restrict deserialization, but this feature could be bypassed. The .NET team has deprecated the built-in .NET binary serialization feature starting with .NET 9 and suggests migrating away from binary serialization. The project is considering to follow suit and drop this part of the NMS API altogether. Users are recommended to upgrade to version 2.1.1, which fixes the issue. We also recommend to migrate away from relying on .NET binary serialization as a hardening method for the future.
Comprehensive Technical Analysis of CVE-2025-29953
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2025-29953 CVSS Score: 9.8
The vulnerability in question is a Deserialization of Untrusted Data issue affecting the Apache ActiveMQ NMS OpenWire Client. This type of vulnerability is particularly severe because it can lead to arbitrary code execution on the client side. The CVSS score of 9.8 indicates a critical severity level, underscoring the potential for significant impact if exploited.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Untrusted Servers: The primary attack vector involves connecting to untrusted servers. An attacker could set up a malicious server that the client connects to, exploiting the deserialization vulnerability.
- Malicious Responses: The untrusted server can send crafted responses designed to exploit the deserialization process, leading to arbitrary code execution.
Exploitation Methods:
- Crafted Payloads: An attacker can craft specific payloads that, when deserialized by the client, execute arbitrary code.
- Bypassing Allow/Denylist: Although version 2.1.0 introduced an allow/denylist feature to restrict deserialization, this feature can be bypassed, making it ineffective against sophisticated attacks.
3. Affected Systems and Software Versions
Affected Software:
- Apache ActiveMQ NMS OpenWire Client versions before 2.1.1.
Systems at Risk:
- Any system running the affected versions of the Apache ActiveMQ NMS OpenWire Client, particularly those that connect to untrusted or potentially malicious servers.
4. Recommended Mitigation Strategies
Immediate Actions:
- Upgrade: Users should immediately upgrade to version 2.1.1, which includes a fix for the deserialization vulnerability.
- Network Segmentation: Implement network segmentation to limit the exposure of the client to untrusted servers.
Long-Term Strategies:
- Migration: Migrate away from relying on .NET binary serialization. The .NET team has deprecated this feature starting with .NET 9, and following this recommendation will harden the system against future vulnerabilities.
- Code Review: Conduct thorough code reviews and security audits to identify and mitigate similar vulnerabilities.
5. Impact on Cybersecurity Landscape
Broader Implications:
- Supply Chain Security: This vulnerability highlights the importance of supply chain security, as it affects a widely used component in enterprise messaging systems.
- Deserialization Risks: It underscores the ongoing risks associated with deserialization of untrusted data, a common issue in many software applications.
- Patch Management: Emphasizes the critical role of timely patch management and the need for organizations to stay updated with the latest security advisories.
6. Technical Details for Security Professionals
Vulnerability Details:
- Deserialization Process: The vulnerability arises from the deserialization of untrusted data, which can be manipulated to execute arbitrary code.
- Allow/Denylist Bypass: The allow/denylist feature introduced in version 2.1.0 is not sufficient to mitigate the risk, as it can be bypassed.
Detection and Monitoring:
- Log Analysis: Monitor logs for unusual deserialization activities or unexpected connections to untrusted servers.
- Intrusion Detection Systems (IDS): Implement IDS rules to detect and alert on suspicious deserialization patterns.
Incident Response:
- Containment: In case of an incident, contain the affected systems by isolating them from the network.
- Forensic Analysis: Conduct a forensic analysis to understand the scope and impact of the exploitation, and to identify the root cause.
References:
By addressing this vulnerability promptly and following the recommended mitigation strategies, organizations can significantly reduce the risk of exploitation and enhance their overall cybersecurity posture.