CVE-2026-13293 in IBM
Summary
by MITRE • 09/14/2026
IBM MQ 9.1.0.0 through 9.1.0.37 LTS, 9.2.0.0 through 9.2.0.43 LTS, 9.3.0.0 through 9.3.0.41 LTS, 9.3.0.0 through 9.3.5.1 CD, 9.4.0.0 through 9.4.0.25 LTS, 9.4.0.0 through 9.4.5.1 CD, and 10.0.0.0 could allow a remote authenticated attacker to execute arbitrary code on the system due to the deserialization of untrusted data.
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Analysis
by VulDB Data Team • 09/14/2026
The vulnerability identified in IBM MQ versions ranging from 9.1.0.0 through 10.0.0.0 represents a critical security flaw rooted in improper handling of serialized objects during message processing operations. This issue specifically affects both Long Term Support (LTS) and Continuous Delivery (CD) releases across multiple major version lines, indicating that the underlying architectural component responsible for deserializing incoming data has not been sufficiently hardened against malicious payloads. The core technical deficiency lies in the application's ability to accept and process Java Serialized Objects without adequate validation or filtering of their contents. When a remote authenticated attacker interacts with the messaging queue system, they can craft specific messages containing serialized objects that exploit this lack of input sanitization. Upon receipt, the IBM MQ server attempts to deserialize these objects into native runtime structures. Because the deserialization mechanism does not strictly verify the integrity or origin of the class definitions being instantiated, it allows for the execution of arbitrary code embedded within the malicious payload during the reconstruction process. This type of flaw is widely recognized in cybersecurity frameworks as CWE-502, which denotes Deserialization of Untrusted Data, a category of vulnerabilities that frequently leads to remote code execution when combined with insufficient access controls or input validation mechanisms.
The operational impact of this vulnerability is severe due to its potential for full system compromise. Since the attack requires only authenticated access rather than unauthenticated network exposure, it targets environments where legitimate users or services have been compromised or whose credentials have been exfiltrated through other means such as phishing, credential stuffing, or lateral movement within a network perimeter. Once an attacker gains valid authentication to IBM MQ, they can leverage this deserialization flaw to execute commands with the privileges of the user account running the IBM MQ service process. In many enterprise deployments, these services run under accounts with elevated permissions necessary for file system access and inter-process communication, thereby granting the attacker significant control over the host operating system. This capability aligns closely with MITRE ATT&CK technique T1203, which covers Exploitation for Client Execution, as well as techniques related to command and script interpretation such as T1059. The ability to execute arbitrary code effectively bypasses traditional perimeter defenses because it utilizes legitimate application functionality in an unintended manner, making detection by standard signature-based intrusion prevention systems difficult without behavioral analysis or strict output control policies.
Mitigation strategies for this vulnerability primarily involve applying the vendor-provided patches that address the deserialization logic within the affected versions. Administrators must ensure that all IBM MQ instances are updated to a version where the flaw has been remediated, typically by restricting the classes allowed during deserialization processes through mechanisms like Java Security Managers or custom ObjectInputFilter implementations introduced in newer JDK and application updates. In addition to patching, organizations should enforce strict network segmentation policies to limit which systems can communicate with IBM MQ brokers over untrusted networks. Implementing multi-factor authentication for administrative access reduces the likelihood of credential compromise that precedes this exploitation vector. Furthermore, deploying runtime application self-protection tools or advanced endpoint detection and response solutions can help identify anomalous process creation events originating from Java processes associated with messaging queues, providing an additional layer of defense-in-depth against successful exploitation attempts.