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PatchSiren cyber security CVE debrief

CVE-2026-41711 Spring CVE debrief

A Denial of Service (DoS) vulnerability was discovered in Spring Data Commons, which can be exploited to cause a StackOverflowException when parsing Sort parameters. This vulnerability affects multiple versions of Spring Data Commons, including 4.0.0 through 4.0.5, 3.5.0 through 3.5.11, 3.4.0 through 3.4.14, 3.3.0 through 3.3.16, 3.2.0 through 3.2.15, 3.1.0 through 3.1.14, 3.0.0 through 3.0.15, and 2.7.0 through 2.7.19.

Vendor
Spring
Product
Spring Data Commons
CVSS
MEDIUM 5.9
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-10
Original CVE updated
2026-07-17
Advisory published
2026-06-10
Advisory updated
2026-07-17

Who should care

Developers and administrators using affected versions of Spring Data Commons should prioritize patching to prevent potential DoS attacks.

Technical summary

The vulnerability has a CVSS score of 5.9 and is classified as MEDIUM severity. It can be exploited remotely without authentication, and its successful exploitation can lead to a denial of service.

Defensive priority

High

Recommended defensive actions

  • Upgrade to a patched version of Spring Data Commons.
  • Review and update affected applications to use secure versions of Spring Data Commons.

Evidence notes

The CVE record was published on June 10, 2026, and last modified on June 10, 2026. The vulnerability is tracked under CWE-400.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-41711 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-41711

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

  • CVE-2026-41711 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-41711

    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.