Description
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.


Resolution:

From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: the next punctuation time is computed with overflow-checked arithmetic (clamped to Long.MAX_VALUE), and a rescheduled punctuation is re-queued only when its time moves forward.
Published: 2026-10-28
Score: n/a
EPSS: n/a
KEV: No
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History

Wed, 28 Oct 2026 20:30:00 +0000

Type Values Removed Values Added
References

Wed, 28 Oct 2026 17:00:00 +0000

Type Values Removed Values Added
Description 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. Resolution: From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: the next punctuation time is computed with overflow-checked arithmetic (clamped to Long.MAX_VALUE), and a rescheduled punctuation is re-queued only when its time moves forward.
Title Apache Kafka: Kafka Streams StreamThread hang from integer overflow in stream-time punctuation
Weaknesses CWE-190
CWE-835
References

Subscriptions

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cve-icon MITRE

Status: PUBLISHED

Assigner: apache

Published:

Updated: 2026-10-28T20:06:55.726Z

Reserved: 2026-10-16T09:55:02.432Z

Link: CVE-2026-111496

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Received

Published: 2026-10-28T17:17:39.693

Modified: 2026-10-28T20:17:18.863

Link: CVE-2026-111496

cve-icon Redhat

No data.

cve-icon OpenCVE Enrichment

Updated: 2026-10-28T18:30:15Z

Weaknesses
  • CWE-190

    Integer Overflow or Wraparound

  • CWE-835

    Loop with Unreachable Exit Condition ('Infinite Loop')