CVE-2026-13289 in IBM
Summary
by MITRE • 11/04/2026
IBM MQ 9.2.0.0 through 9.2.0.44 LTS, 9.3.0.0 through 9.3.0.42 LTS, 9.4.0.0 through 9.4.0.26 LTS, 9.4.0.0 through 9.4.5.1 CD, and 10.0.0.0 through 10.0.0.5 LTS and CD is vulnerable to an XML external entity injection (XXE) attack when processing XML data. A remote attacker could exploit this vulnerability to expose sensitive information or consume memory resources.
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Analysis
by VulDB Data Team • 11/05/2026
IBM MQ versions ranging from 9.2.0.0 through 9.4.5.1 and 10.0.0.x are susceptible to an XML External Entity injection flaw within their message processing engine. This vulnerability arises because the application fails to properly validate or sanitize user-supplied XML input before parsing it with a default configuration that permits external entity resolution. In standard XML processing, entities allow for the inclusion of data from various sources, including local files and remote URLs. When an attacker constructs maliciously formatted XML payloads containing references to external resources, the underlying parser resolves these references without adequate restrictions, leading to unintended side effects such as server-side request forgery or arbitrary file reads depending on the specific configuration and environment in which IBM MQ is deployed.
The technical root cause of this vulnerability lies in the improper neutralization of special elements used in an XML document, specifically external entities. According to industry standards, this flaw aligns with CWE-611, which describes Improper Restriction of XML External Entity Reference. The vulnerability allows a remote attacker who can submit data to IBM MQ to inject crafted XML content that forces the server to interact with unauthorized resources. This interaction can result in the exposure of sensitive information stored on the local file system if the parser is configured to allow access to local entities, or it may enable an SSRF attack where the server makes requests to internal network services that are otherwise inaccessible from the external network. Additionally, complex entity expansions can lead to resource exhaustion attacks, commonly known as XML bombs, which consume excessive memory and CPU resources, potentially causing a denial of service condition for legitimate users.
The operational impact of this vulnerability is significant due to the critical role IBM MQ plays in enterprise messaging architectures. If exploited successfully, an attacker could read sensitive files from the server hosting the queue manager, such as configuration files containing credentials or internal application data. Furthermore, the ability to trigger arbitrary network requests allows for reconnaissance against internal infrastructure, potentially mapping out network topology and identifying other vulnerable services behind firewalls that rely on IBM MQ for communication. The potential for resource consumption also poses a risk to service availability, disrupting business-critical messaging workflows and causing latency or complete outage of dependent applications relying on the queue manager for data transport.
Mitigation strategies primarily involve upgrading to patched versions of IBM MQ where this issue has been resolved by disabling external entity resolution in XML parsers unless explicitly required by specific use cases. Organizations should also implement network-level controls such as firewalls and intrusion detection systems to monitor for anomalous traffic patterns indicative of XXE attacks, including requests with unusually large payloads or frequent connections to internal IP addresses from the MQ server. Input validation at the application layer remains a secondary defense but is less effective against this specific flaw since the vulnerability exists within the middleware component itself rather than in custom application code processing XML. Security teams should prioritize patching these affected versions immediately and review access controls to ensure that only authorized users can submit messages to vulnerable queues, thereby reducing the attack surface available to potential adversaries leveraging ATT&CK techniques related to collection via local file access or network service discovery through server-side request forgery.