IBM MQ denial of service

Summary

CVECVE-2025-36128
StatePUBLISHED
Assigneribm
Source PriorityCVE Program / NVD first with legacy fallback
Published2025-10-16 17:15:33 UTC
Updated2026-10-09 10:10:00 UTC
DescriptionIBM MQ 9.1, 9.2, 9.3, 9.4 LTS and 9.3, 9.4 CD is vulnerable to a denial of service, caused by improper enforcement of the timeout on individual read operations. By conducting slowloris-type attacks, a remote attacker could exploit this vulnerability to cause a denial of service.

Risk And Classification

Primary CVSS: v3.1 7.5 HIGH from [email protected]

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS: 0.005430000 probability, percentile 0.439550000 (date 2026-10-11)

Problem Types: CWE-772 | CWE-772 CWE-772 Missing Release of Resource after Effective Lifetime


VersionSourceTypeScoreSeverityVector
3.1[email protected]Secondary7.5HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
3.1CNACVSS7.5HIGHCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

CVSS v3.1 Breakdown

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

NVD Known Affected Configurations (CPE 2.3)

TypeVendorProductVersionUpdateEditionLanguage
Operating System Ibm Aix - All All All
Operating System Ibm I - All All All
Application Ibm Mq 9.1.0.0 All All All
Application Ibm Mq 9.2.0.0 All All All
Application Ibm Mq 9.3.0 All All All
Application Ibm Mq 9.3.0.0 All All All
Application Ibm Mq 9.4.0 All All All
Application Ibm Mq 9.4.0.0 All All All
Operating System Linux Linux Kernel - All All All
Operating System Microsoft Windows - All All All
Operating System Oracle Solaris - All All All

Vendor Declared Affected Products

SourceVendorProductVersionPlatforms
CNA IBM MQ affected 9.1 Not specified
CNA IBM MQ affected 9.2 Not specified
CNA IBM MQ affected 9.3 Not specified
CNA IBM MQ affected 9.4 Not specified
CNA IBM MQ affected 9.3 Not specified
CNA IBM MQ affected 9.4 Not specified

References

ReferenceSourceLinkTags
www.ibm.com/support/pages/node/7244480 [email protected] www.ibm.com Vendor Advisory
CVE Program record CVE.ORG www.cve.org canonical
NVD vulnerability detail NVD nvd.nist.gov canonical, analysis

Additional Advisory Data

Solutions

CNA: To secure IBM WebSphere Liberty profile shipped with IBM MQ from Slowloris DDoS attacks, use one of the following methods: 1. Load Balancer Configuration If the setup involves a load balancer in front of the IBM WebSphere Liberty profile of IBM MQ, configure the load balancer to handle Slowloris-style attacks. A load balancer acts as an intermediary between clients and Liberty, distributing incoming requests across multiple backend servers. By using hardware load balancers with properly configured HTTP profiles, only complete and valid HTTP requests are forwarded to the web server, effectively filtering out the partial requests caused by Slowloris. This approach helps to prevent the attack from overwhelming the server, allowing it to continue serving legitimate traffic. Refer to IBM WebSphere Liberty documentation for configuration details. 2. Reverse Proxy Consider using a reverse proxy to handle client requests. The reverse proxy can implement various security measures, including request buffering and handling connection timeouts, to mitigate Slowloris attacks. 3. Web Application Firewall (WAF) Deploy a Web Application Firewall that can detect and block Slowloris-style attacks. A WAF can analyze incoming traffic, identify suspicious patterns indicative of Slowloris attacks, and block such requests before they reach the application server. 4. Limit Concurrent Connections Implement a limit on the number of concurrent connections allowed from a single IP address or source. This helps to prevent an attack from establishing numerous connections and consuming all available server resources. 5. Traffic Rate Limiting Implement rate-limiting mechanisms on the server to restrict the number of requests from a single IP address or source within a specific time frame. This method helps to prevent an attack from sending a pool of requests in a short period.

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