CVE-2026-111496

INFO Priority: 0.00 BB Relevance: 0/100
Published: 2026-10-28 Modified: 2026-10-29 First seen: 2026-10-29 Status: pending_score

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.

Weakness Classification (2)

Affected Software (1)

VendorProductVersion
Apache Software Foundation Apache Kafka 1.1.0

Bug Bounty Relevance

0 / 100

CVSS Score

Unscored

EPSS — Exploitation Probability

0.20%
Raw Score 0.002040
Percentile 10.3%
Date 2026-10-29

Intelligence Sources

mitre ref →
nvd ref →