CVE-2023-26512 in EventMesh
Summary
by MITRE • 07/17/2023
CWE-502 Deserialization of Untrusted Data at the rabbitmq-connector plugin module in Apache EventMesh (incubating) V1.7.0\V1.8.0 on windows\linux\mac os e.g. platforms allows attackers to send controlled message and remote code execute via rabbitmq messages. Users can use the code under the master branch in project repo to fix this issue, we will release the new version as soon as possible.
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Analysis
by VulDB Data Team • 10/02/2024
The vulnerability CVE-2023-26512 represents a critical deserialization flaw in the rabbitmq-connector plugin module of Apache EventMesh V1.7.0 and V1.8.0 across multiple operating systems including Windows, Linux, and macOS. This issue falls under the Common Weakness Enumeration CWE-502 category, which specifically addresses the deserialization of untrusted data. The flaw enables attackers to exploit the system through controlled message injection within rabbitmq communications, creating a pathway for remote code execution. The vulnerability affects the core messaging infrastructure of Apache EventMesh, which is designed to facilitate event-driven architectures and message routing between different systems.
The technical implementation of this vulnerability stems from the improper handling of serialized data within the rabbitmq-connector plugin component. When the system processes messages received through rabbitmq, it fails to adequately validate or sanitize the incoming serialized data structures before deserializing them. This allows malicious actors to craft specially crafted serialized objects that, when processed by the vulnerable component, trigger unintended code execution. The attack vector specifically targets the message processing pipeline where untrusted data flows from external rabbitmq brokers into the EventMesh system. The flaw exists in the master branch of the project repository and affects all supported operating systems, making it particularly dangerous due to its cross-platform nature.
The operational impact of this vulnerability is severe and multifaceted. Successful exploitation enables attackers to achieve remote code execution on systems running vulnerable versions of Apache EventMesh, potentially allowing full system compromise. This could lead to unauthorized access to sensitive data, system infiltration, and lateral movement within network environments. The vulnerability affects organizations that rely on Apache EventMesh for event-driven architectures, particularly those using rabbitmq as their messaging broker. The widespread impact across multiple platforms increases the attack surface significantly, as organizations cannot simply patch a single operating system variant. The vulnerability also undermines the trust model of the messaging infrastructure, as any system component that processes external messages becomes a potential entry point for attackers.
Organizations should immediately implement mitigations including upgrading to patched versions of Apache EventMesh as soon as they become available, which will address the deserialization vulnerability in the rabbitmq-connector plugin. The project repository already contains fixes in the master branch that can be deployed to resolve the issue. Additional protective measures include implementing network segmentation to limit access to rabbitmq brokers, enforcing strict message validation policies, and monitoring for unusual deserialization activities. Security teams should also consider implementing runtime protection mechanisms such as application control policies and sandboxing to prevent malicious code execution even if the primary vulnerability is not patched. This vulnerability aligns with ATT&CK technique T1059.007 for remote code execution through deserialization and demonstrates the importance of secure coding practices in middleware components. Organizations using Apache EventMesh should prioritize patch management and conduct thorough security assessments of their event-driven architectures to identify potential secondary impacts from this vulnerability.