CVE-2026-111868 (GCVE-0-2026-111868)

Vulnerability from cvelistv5 – Published: 2026-10-18 00:15 – Updated: 2026-10-19 21:32
VLAI
Title
datastax pulsar-jms PulsarObjectMessage.java decode deserialization
Summary
A vulnerability was determined in datastax pulsar-jms up to 9.0.3. This issue affects the function decode of the file pulsar-jms/src/main/java/com/datastax/oss/pulsar/jms/messages/PulsarObjectMessage.java. This manipulation causes deserialization. It is possible to initiate the attack remotely. The exploit has been publicly disclosed and may be utilized. The project was informed of the problem early through an issue report but has not responded yet.
SSVC
Exploitation: poc Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-19 21:31 UTC
CWE
Assigner
VulDB CNA under the mitre root
CNA scorecard B 82/100 over 3913 records in the last 180 days details
References
URL Tags
https://vuldb.com/vuln/421580 vdb-entrytechnical-description
https://vuldb.com/vuln/421580/cti signaturepermissions-required
https://vuldb.com/cve/CVE-2026-111868 third-party-advisory
https://vuldb.com/submit/1004922 third-party-advisory
https://github.com/datastax/pulsar-jms/issues/210 exploitissue-tracking
https://github.com/datastax/pulsar-jms/ product
Impacted products
Vendor Product Version CPE status
datastax pulsar-jms Affected: 9.0.0
Affected: 9.0.1
Affected: 9.0.2
Affected: 9.0.3
    cpe:2.3:a:datastax:pulsar-jms:*:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

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  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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Events included in the timeline

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    Related by attack behaviour

    Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.