CVE-2026-41705
Received Received - Intake

Filter Expression Injection in Spring AI MilvusVectorStore

Publication date: 2026-05-09

Last updated on: 2026-05-09

Assigner: VMware

Description
Spring AI's MilvusVectorStore#doDelete(List) implementation is vulnerable to filter-expression injection via unsanitized document IDs. Spring AI 1.0.x: affected from 1.0.0 through latest 1.0.x; upgrade to 1.0.7 or greater. Spring AI 1.1.x: affected from 1.1.0 through latest 1.1.x; upgrade to 1.1.6 or greater.

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Meta Information

Published
2026-05-09
Last Modified
2026-05-09
Generated
2026-07-09
AI Q&A
2026-05-09
EPSS Evaluated
2026-07-08
NVD
CVE-2026-41705
EUVD
EUVD-2026-28875

Affected Vendors & Products

Showing 2 associated CPEs
Vendor Product Version / Range
spring_ai spring_ai From 1.0.0 (inc) to 1.0.x (inc)
spring_ai spring_ai From 1.1.0 (inc) to 1.1.x (inc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-917 The product constructs all or part of an expression language (EL) statement in a framework such as a Java Server Page (JSP) using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended EL statement before it is executed.

Attack-Flow Graph

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Executive Summary

Spring AI's MilvusVectorStore#doDelete(List) implementation is vulnerable to filter-expression injection due to unsanitized document IDs.

This means that the method does not properly sanitize input document IDs, allowing an attacker to inject malicious filter expressions.

Impact Analysis

This vulnerability could allow an attacker to perform data destruction by exploiting the filter-expression injection.

Mitigation Strategies

The immediate step to mitigate this vulnerability is to upgrade Spring AI to a fixed version.

  • Upgrade Spring AI 1.0.x versions to 1.0.7 or greater.
  • Upgrade Spring AI 1.1.x versions to 1.1.6 or greater.

No additional mitigation steps are required beyond upgrading.

Compliance Impact

The vulnerability in Spring AI's MilvusVectorStore#doDelete(List) allows filter-expression injection via unsanitized document IDs, potentially leading to data destruction.

Such unauthorized data destruction could impact compliance with data protection regulations like GDPR and HIPAA, which require the integrity and availability of personal and sensitive data to be maintained.

Failure to protect data against such vulnerabilities may result in violations of these standards, leading to legal and regulatory consequences.

Mitigation involves upgrading to fixed versions 1.0.7 or 1.1.6 or greater.

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