CVE-2026-41726

June 10, 2026, 12:16 a.m.

6.5
Medium

Description

When an application opts into DelegatingDeserializer, a producer can grow the consumer's heap without bound by sending records with unique random spring.kafka.serialization.selector header values, eventually causing GC thrash and OutOfMemoryError. 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.

Product(s) Impacted

Vendor Product Versions
Vmware
  • Spring For Apache Kafka
  • 4.0.0-4.0.5, 3.3.0-3.3.15, 3.2.0-3.2.13, 2.9.0-2.9.13, 2.8.0-2.8.11

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-770
Allocation of Resources Without Limits or Throttling
The product allocates a reusable resource or group of resources on behalf of an actor without imposing any restrictions on the size or number of resources that can be allocated, in violation of the intended security policy for that actor.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a vmware spring_for_apache_kafka 4.0.0-4.0.5 / / / / / / /
a vmware spring_for_apache_kafka 3.3.0-3.3.15 / / / / / / /
a vmware spring_for_apache_kafka 3.2.0-3.2.13 / / / / / / /
a vmware spring_for_apache_kafka 2.9.0-2.9.13 / / / / / / /
a vmware spring_for_apache_kafka 2.8.0-2.8.11 / / / / / / /

CVSS Score

6.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

    View Vector String

Timeline

Published: June 10, 2026, 12:16 a.m.
Last Modified: June 10, 2026, 12:16 a.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.