CVE-2026-12728: IBM MQ · Deserialization of Untrusted Data
Affects IBM MQSource CVE Database V5
Not known to be exploited · CVSS 8.8 High.
Data as of 31 Oct 2026, 08:20 UTC
- EPSS
- 0.6% chance of exploitation in 30 days – higher than 52% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:HExploitation evidence
Disclosed: evidence found.
CVE published 15 Sep 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| IBMMQ | Affected
| Fixed in– |
Mavencom.ibm.mq/mqpkg:maven/com.ibm.mq/mqOther threats | Affected
| Fixed in– |
CPE configurations (11)
cpe:2.3:a:ibm:mq:9.1.0.0:*:*:*:*:*:*:*cpe:2.3:a:ibm:mq:9.1.0.37:*:*:*:*:*:*:*cpe:2.3:a:ibm:mq:9.2.0.0:*:*:*:*:*:*:*cpe:2.3:a:ibm:mq:9.2.0.43:*:*:*:*:*:*:*cpe:2.3:a:ibm:mq:9.3.0.0:*:*:*:*:*:*:*cpe:2.3:a:ibm:mq:9.3.0.41:*:*:*:*:*:*:*
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
Users should monitor IBM's official security advisories for updates and apply any official fixes once available. Until then, restrict access to IBM MQ to trusted users and environments to reduce risk.
Description
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 an authenticated attacker to execute arbitrary code due to a deserialization of untrusted data.