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CVE-2026-41697 Spring CVE debrief

CVE-2026-41697 is a vulnerability in Spring Data Relational that allows an attacker to perform boolean-based blind data inference by supplying wildcard characters. The vulnerability affects Spring Data Relational/JDBC/R2DBC versions 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 2.4.0 through 2.4.19.

Vendor
Spring
Product
Spring Data Relational
CVSS
MEDIUM 4.8
CISA KEV
Not listed in stored evidence
Original CVE published
2026-06-10
Original CVE updated
2026-09-04
Advisory published
2026-06-10
Advisory updated
2026-09-04

Who should care

Users of affected Spring Data Relational versions should update to a patched version to prevent potential data inference attacks.

Technical summary

The vulnerability occurs when using StringMatcher (STARTING, ENDING, or CONTAINING) in Query By Example (QBE). An attacker can supply wildcard characters to perform boolean-based blind data inference.

Defensive priority

MEDIUM

Recommended defensive actions

  • Update to a patched version of Spring Data Relational: 4.0.6 or later, 3.5.12 or later, 3.4.15 or later, 3.3.17 or later, 3.2.16 or later, 3.1.15 or later, 3.0.16 or later, or 2.4.20 or later.
  • Use a version of Spring Data Relational that is not vulnerable to this issue.

Evidence notes

The CVE-2026-41697 vulnerability was published on [cvePublishedAt] and modified on [cveModifiedAt].

Sources and references

Verified primary and authoritative sources

  • CVE-2026-41697 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-41697

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

  • CVE-2026-41697 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-41697

    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.