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CVE-2026-114349

Unbounded allocation DoS in Apache Kafka compressed records

CVSS
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EPSS
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Published
·
Modified
Analyze CVE-2026-114349 with Vani AIImpact, affected versions, exploitation status, mitigations and detection

When an Apache Kafka broker decodes a compressed record batch, it allocates a buffer from an attacker-controlled declared body size before checking available bytes or limits. An authenticated principal with Write on a topic can send a small CRC-valid produce request that forces a huge allocation, crashing request-handler threads, consumers that fetch the record, and—on compacted topics—the log cleaner, which is not restarted. Availability only; no data is disclosed or altered. Brokers using ExitOnOutOfMemoryError can exit entirely, and compaction can stay stopped across restarts until the record is removed.

What to do: Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0 and set max.decompressed.message.bytes to a bounded value; the default stays effectively unlimited. Until then, restrict Write to trusted producers.

ProductAffectedFixed in
Apache Kafka—4.2.2, 4.3.2, or 4.4.0
Estimated exposure
No basis for an estimate.

Order-of-magnitude estimate by the model from install counts, market share and public scan data it knows; verify before quoting.

Description · NVD

When a broker decodes a compressed record batch, the per-record decoder reads a declared body size from the decompressed stream and allocates a buffer of that size before validating it against the bytes available or any configured limit. The size is attacker-controlled, and the batch CRC does not constrain it, so a small (around 90-byte), CRC-valid compressed produce request can declare a body size of up to about 2 GiB and force the broker to attempt that allocation, raising OutOfMemoryError. The record size limit (max.message.bytes), the request size limit, and client/broker quotas bound only the compressed wire size, not the declared decompressed size. Impact: An authenticated principal with Write on a topic can crash broker request-handler threads (reached when a batch's codec differs from the topic's compression.type and records are re-encoded) and any consumer that fetches the record, denying service. On brokers started with -XX:+ExitOnOutOfMemoryError, a common hardening, a single crafted request terminates the broker JVM. More seriously, a crafted record is accepted at ingest and written to disk; when the log-cleaner later reads it on a compacted topic, the OutOfMemoryError (an Error, not an Exception) terminates the cleaner thread, which is not restarted. With the default of a single cleaner thread, log compaction then stops for the entire broker, including the internal __consumer_offsets and __transaction_state topics, and the condition persists across restarts until the offending record is removed. The impact is availability only; no data is disclosed or altered. Mitigation: Upgrade to Apache Kafka 4.2.2, 4.3.2, or 4.4.0, and set max.decompressed.message.bytes (at the broker and/or topic level) to a bounded value appropriate for your workload. Upgrading alone is not sufficient: for backward compatibility this configuration defaults to an effectively unlimited value (about 2 GiB), so a broker remains exposed until the limit is set. Choose a value at or slightly above the largest legitimate decompressed record your applications produce, and comfortably below the broker heap divided by the number of request-handler and cleaner threads. Until you can upgrade and configure the limit, restrict Write access to trusted producers; quotas and max.message.bytes do not mitigate this issue. Resolution: From Apache Kafka 4.2.2, 4.3.2, and 4.4.0: the broker validates a record's declared decompressed body size against max.decompressed.message.bytes before allocating, on the produce-validation, log-compaction, and timestamp-lookup paths, and rejects oversized or negative sizes with InvalidRecordException. Operators must set this configuration to a bounded value to be protected, as its default is effectively unlimited.

Weakness
CWE-400, CWE-789, CWE-1284

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