CyberSecBulletin
CVE-2026-41731NVD status: Analyzed

Spring for Apache Kafka: Deserialization of Untrusted Data

CVE-2026-41731 is a high-severity deserialization of untrusted data vulnerability in Spring for Apache Kafka from Spring, with a CVSS 3.1 base score of 8.1 out of 10. It can be exploited remotely over the network by an unauthenticated attacker, without any action from a user. The record lists versions 4.0.5.1, 3.3.15.1, 3.2.14 as the first without the flaw, so updating Spring for Apache Kafka to one of those releases or later removes the exposure. There is no confirmed exploitation so far. EPSS estimates a 0.51% chance of exploitation within 30 days, which is low compared with other CVEs.

Next patch cycle

High severity with no evidence of exploitation so far.

What to do

  1. Update Spring for Apache Kafka to 4.0.5.1 or 3.3.15.1 or 3.2.14 or 2.9.14, whichever matches your release line, or a later version.
  2. Read the advisory on spring.io for workarounds and exact fixed builds.
  3. Until you can update, restrict network access to the affected service so it is not reachable from untrusted networks.

Affected products and versions

VendorProductAffected versionsFixed in
SpringSpring for Apache Kafka4.0.0 up to, but not including, 4.0.5.1; 3.3.0 up to, but not including, 3.3.15.1; 3.2.0 up to, but not including, 3.2.14; 2.9.0 up to, but not including, 2.9.14; 2.8.0 up to, but not including, 2.8.124.0.5.1, 3.3.15.1, 3.2.14, 2.9.14, 2.8.12
Red HatRed Hat Fuse 7Not specified in the recordNot stated
Red HatRed Hat JBoss Enterprise Application Platform Expansion PackNot specified in the recordNot stated
Red HatFuse7.0.0Not stated
Red HatJboss Enterprise Application Platform Expansion PackNot specified in the recordNot stated

Version data comes from the organisation that assigned the CVE. Confirm against the vendor advisory before deciding you are unaffected.

How the severity score breaks down

Attack vector
NetworkCan be exploited remotely over a network, including the internet.
Attack complexity
HighSuccess depends on conditions outside the attacker's control.
Privileges required
NoneNo account or login is needed.
User interaction
NoneNo action by a victim is required.
Scope
UnchangedImpact stays within the vulnerable component.
Confidentiality
HighAll data handled by the component can be read.
Integrity
HighData or code can be modified at will.
Availability
HighThe component can be taken down completely.

Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H. Scored by CNA (vmware.com).

Scoring systemScoreSeverityScored by
CVSS 3.18.1HighCNA (vmware.com)
CVSS 3.18.1HighCNA

Official description

JsonKafkaHeaderMapper and the deprecated DefaultKafkaHeaderMapper matched type headers against trusted packages using a prefix check, meaning that trusting any package implicitly trusted all of its subpackages. Combined with Jackson's default bean deserialization, a producer could supply crafted header values that caused the consumer to deserialize arbitrary JDK types. Affected versions: Spring for Apache Kafka 4.0.0 through 4.0.5; 3.3.0 through 3.3.15; 3.2.0 through 3.2.13; 2.9.0 through 2.9.13; 2.8.0 through 2.8.11.

Source: the CVE record as published by its numbering authority, via NVD and CVE.org.

The underlying weakness: Deserialization of Untrusted Data

The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.

How developers prevent this class of flaw

  • If available, use the signing/sealing features of the programming language to assure that deserialized data has not been tainted. For example, a hash-based message authentication code (HMAC) could be used to ensure that data has not been modified.
  • When deserializing data, populate a new object rather than just deserializing. The result is that the data flows through safe input validation and that the functions are safe.
  • Explicitly define a final object() to prevent deserialization.

More Deserialization of Untrusted Data vulnerabilities (CWE-502)

Timeline

  1. CVE record published.
  2. CISA published its SSVC assessment (exploitation: none, automatable: no, technical impact: total).
  3. Record last changed materially (score, affected products, status or references).

References

Third-party and government advisories

Other vulnerabilities in Spring for Apache Kafka

All Spring for Apache Kafka vulnerabilities

Recent Deserialization of Untrusted Data vulnerabilities

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