Description
Wazuh is a free and open source platform used for threat prevention, detection, and response. Starting in version 4.4.0 and prior to version 4.9.1, an unsafe deserialization vulnerability allows for remote code execution on Wazuh servers. DistributedAPI parameters are a serialized as JSON and deserialized using `as_wazuh_object` (in `framework/wazuh/core/cluster/common.py`). If an attacker manages to inject an unsanitized dictionary in DAPI request/response, they can forge an unhandled exception (`__unhandled_exc__`) to evaluate arbitrary python code. The vulnerability can be triggered by anybody with API access (compromised dashboard or Wazuh servers in the cluster) or, in certain configurations, even by a compromised agent. Version 4.9.1 contains a fix.
EPSS Score:
11%
Comprehensive Technical Analysis of EUVD-2025-3595
1. Vulnerability Assessment and Severity Evaluation
The vulnerability identified in EUVD-2025-3595 affects Wazuh, an open-source platform used for threat prevention, detection, and response. The issue is an unsafe deserialization vulnerability that can lead to remote code execution (RCE) on Wazuh servers. This vulnerability is present in versions starting from 4.4.0 up to 4.9.0. The severity of this vulnerability is rated with a CVSS Base Score of 9.9, which is considered critical.
CVSS Base Score Vector Breakdown:
- AV:N (Network Vector): The vulnerability is exploitable over the network.
- AC:L (Low Complexity): The attack requires low complexity to execute.
- PR:L (Low Privileges Required): The attacker needs low-level privileges to exploit the vulnerability.
- UI:N (No User Interaction): No user interaction is required for the attack to succeed.
- S:C (Changed Scope): The vulnerability can affect resources beyond the security scope managed by the security authority.
- C:L (Low Confidentiality Impact): The vulnerability has a low impact on confidentiality.
- I:H (High Integrity Impact): The vulnerability has a high impact on integrity.
- A:H (High Availability Impact): The vulnerability has a high impact on availability.
2. Potential Attack Vectors and Exploitation Methods
The primary attack vector involves injecting an unsanitized dictionary into the DistributedAPI (DAPI) request/response. This can be achieved by:
- Compromised Dashboard: An attacker with access to the Wazuh dashboard can inject malicious data.
- Compromised Wazuh Servers: An attacker with access to any Wazuh server in the cluster can exploit the vulnerability.
- Compromised Agent: In certain configurations, a compromised agent can also be used to inject malicious data.
The exploitation method involves forging an unhandled exception (__unhandled_exc__) to evaluate arbitrary Python code, leading to RCE.
3. Affected Systems and Software Versions
The vulnerability affects Wazuh versions starting from 4.4.0 up to 4.9.0. The issue is resolved in version 4.9.1. Organizations using Wazuh within this version range are at risk and should prioritize updating to the patched version.
4. Recommended Mitigation Strategies
To mitigate the risk associated with this vulnerability, the following strategies are recommended:
- Update to Version 4.9.1: Immediately update all Wazuh installations to version 4.9.1 or later.
- Restrict API Access: Ensure that API access is restricted to trusted users and systems. Implement strong authentication and authorization mechanisms.
- Monitor for Suspicious Activity: Implement monitoring and logging to detect any suspicious activity related to DAPI requests and responses.
- Network Segmentation: Segment the network to limit the exposure of Wazuh servers and agents to potential attackers.
- Regular Security Audits: Conduct regular security audits and vulnerability assessments to identify and address potential security issues.
5. Impact on European Cybersecurity Landscape
The vulnerability poses a significant risk to organizations using Wazuh for threat prevention, detection, and response. Given the critical nature of the vulnerability, it could be exploited to compromise the integrity and availability of security monitoring systems, leading to potential data breaches and loss of service. The impact on the European cybersecurity landscape could be substantial, particularly for organizations relying on Wazuh for their security operations.
6. Technical Details for Security Professionals
Vulnerability Details:
- Affected Component:
framework/wazuh/core/cluster/common.py - Vulnerable Function:
as_wazuh_object - Exploitation Mechanism: Injection of an unsanitized dictionary in DAPI request/response leading to RCE.
Detection and Response:
- Detection: Implement intrusion detection systems (IDS) to monitor for unusual DAPI requests and responses. Look for patterns indicative of unsanitized dictionary injection.
- Response: In case of detection, isolate the affected systems, conduct a thorough investigation, and apply the necessary patches and updates.
References:
- GitHub Advisory: GHSA-hcrc-79hj-m3qh
- ENISA ID Product: [{"id":"070b362d-f46d-30da-9f7b-abc3494abf64","product":{"name":"wazuh"},"product_version":"4.4.0, < 4.9.1"}]
- ENISA ID Vendor: [{"id":"895a934c-4800-362f-bd36-7d10cc65e9cc","vendor":{"name":"wazuh"}}]
By following these recommendations and understanding the technical details, organizations can effectively mitigate the risks associated with this vulnerability and enhance their overall cybersecurity posture.