Medium [CVE-2026-111496] Denial of Service via integer overflow in timestamp calculation
This medium-severity Red Hat Linux advisory covers CVE-2026-111496 affecting Red Hat build of Quarkus, Red Hat Fuse 7, streams for Apache Kafka 3.
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Summary
Kafka Streams derives its stream-time clock from record timestamps. PunctuationSchedule.next() computed the next punctuation time as timestamp + (intervalsMissed + 1) * interval with no overflow check.
A record with a timestamp at or near Long.MAX_VALUE advances stream time to that value, so the next stream-time punctuation overflows to a negative time. PunctuationQueue then re-queues that time and loops on it indefinitely while holding a lock, stalling the StreamThread.
Impact: A single record is enough. The affected StreamThread stops processing, and because the record stays in the topic the hang returns on restart; an application whose partitions are all affected becomes unresponsive.
Only the Streams application is affected, not the brokers or the cluster.
Triggering it needs write access to a source topic whose topology uses stream-time punctuation, and a broker that stores the record: brokers from Apache Kafka 4.0.0 reject such a timestamp by default (log.message.timestamp.after.max.ms, one hour), so it is reachable only on older brokers or where that bound has been relaxed.
Mitigation: Upgrade Kafka Streams to 4.2.2, 4.3.2, or 4.4.0. As defense in depth, keep log.message.timestamp.after.max.ms bounded on source topics and restrict write access to them.
Affected products named by the advisory: Red Hat build of Quarkus; Red Hat Fuse 7; streams for Apache Kafka 3.
Affected versions
No affected-version range was extracted from the source record. The vendor advisory is authoritative. Check it before change work.
Official advisory · high-confidence parse· fetched 7 hours ago·verify at source
Fixed versions
No fixed release is recorded yet. That does not prove no patch exists. Confirm against the vendor advisory.
Official advisory · high-confidence parse· fetched 7 hours ago·verify at source
Mitigation checklist
- To reduce exposure to this issue without modifying application binaries: 1. Restrict write access to source topics: Enforce Kafka Access Control Lists (ACLs) to restrict write permissions on topics consumed by Kafka Streams topologies that rely on stream-time punctuation, ensuring only authorized producers can publish records. 2. Enforce timestamp boundaries on brokers and topics: Configure timestamp limits on Kafka source topics to reject messages with extreme future timestamps. Apply the topic configuration dynamically using administrative scripts: kafka-configs.sh --bootstrap-server <broker-host>:<port> --entity-type topics --entity-name <topic-name> --alter --add-config log.message.timestamp.after.max.ms=3600000 Alternatively, enforce `log.message.timestamp.after.max.ms` cluster-wide in the broker configuration file. Caveats: Restricting message timestamp boundaries causes brokers to reject records outside the configured time delta, which could disrupt producers with unsynchronized system clocks. If applying changes cluster-wide at the broker configuration level, a service restart or configuration reload of Kafka brokers is required, which may temporarily disrupt active client connections.
Official advisory · high-confidence parse· fetched 7 hours ago·verify at source
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