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PatchSiren cyber security CVE debrief

CVE-2026-41701 Spring CVE debrief

CVE-2026-41701 is a medium-severity vulnerability in Spring AMQP. The issue arises from predictable correlation IDs for replies in the RabbitTemplate.sendAndReceive() method with a fixed reply queue. This predictability stems from an internal simple counter. The affected versions include Spring AMQP 4.0.0 through 4.0.3, 3.2.0 through 3.2.10, 3.1.0 through 3.1.15, and 2.4.0 through 2.4.17.

Vendor
Spring
Product
Spring AMQP
CVSS
MEDIUM 4.4
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-10
Original CVE updated
2026-06-23
Advisory published
2026-06-10
Advisory updated
2026-06-23

Who should care

Users of Spring AMQP, particularly those using versions 4.0.0 through 4.0.3, 3.2.0 through 3.2.10, 3.1.0 through 3.1.15, and 2.4.0 through 2.4.17, should be aware of this vulnerability.

Technical summary

The vulnerability is caused by the use of a simple internal counter to generate correlation IDs for replies in the RabbitTemplate.sendAndReceive() method with a fixed reply queue. This makes the correlation IDs predictable.

Defensive priority

MEDIUM

Recommended defensive actions

  • Update to a non-affected version of Spring AMQP.
  • Use a more secure method of generating correlation IDs.

Evidence notes

The CVE-2026-41701 record and associated references provide details on the vulnerability.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-41701 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-41701

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-41701 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-41701

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.