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EPSS 0.4%top 72%

CVE-2026-41705: CWE-917: Improper Neutralization of Special Elements used in an Expression Language Statement ('Expression Language Injection') in Spring Spring AI

0
High
VulnerabilityCVE-2026-41705cvecve-2026-41705cwe-917
Published: 05/09/2026 (05/09/2026, 00:34:17 UTC)
Source: CVE Database V5
Vendor/Project: Spring
Product: Spring AI

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.

CVSS v3.1

Score 8.6high

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
Low
Availability
Low
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:L/A:L

Affected software

org.springframework/spring-ai
pkg:maven/org.springframework/spring-ai
Affected versions
=1.0.0 <1.0.7>=1.1.0 <1.1.6

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 05/16/2026, 10:54:44 UTC

Technical Analysis

Spring AI versions 1.0.0 through latest 1.0.x and 1.1.0 through latest 1.1.x contain a vulnerability (CVE-2026-41705) in the MilvusVectorStore#doDelete(List) implementation. The vulnerability arises from improper neutralization of special elements in an expression language statement, specifically filter-expression injection via unsanitized document IDs. This can allow an attacker to influence the expression evaluation, potentially leading to unauthorized data exposure. The CVSS 3.1 base score is 8.6, reflecting a network attack vector with low attack complexity, no privileges or user interaction required, and high confidentiality impact with limited integrity and availability impacts. The vendor recommends upgrading to versions 1.0.7 or greater for the 1.0.x branch and 1.1.6 or greater for the 1.1.x branch to remediate the vulnerability.

Potential Impact

An attacker can exploit this vulnerability remotely without authentication or user interaction to inject malicious expressions via unsanitized document IDs. This can lead to high confidentiality impact by potentially exposing sensitive data. Integrity and availability impacts are limited but present. No known exploits in the wild have been reported to date.

Mitigation Recommendations

Upgrade affected Spring AI versions to 1.0.7 or greater for the 1.0.x branch and 1.1.6 or greater for the 1.1.x branch as these versions contain fixes for this vulnerability. Patch status is not explicitly confirmed in the vendor advisory, so users should consult official Spring AI advisories for the latest remediation guidance. No alternative mitigations or workarounds are indicated.

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Technical Details

Data Version
5.2
Assigner Short Name
vmware
Date Reserved
2026-04-22T06:21:34.489Z
Cvss Version
3.1
State
PUBLISHED
Remediation Level
null

Threat ID: 69fe8c5ccbff5d86108b6aa6

Added to database: 05/09/2026, 01:22:36 UTC

Last enriched: 05/16/2026, 10:54:44 UTC

Last updated: 07/31/2026, 19:22:58 UTC

Views: 152

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