Improper Neutralization of Special Elements in Data Query Logic Affecting org.springframework.ai:spring-ai-mongodb-atlas-store package, versions [,1.0.6)[1.1.0-M1, 1.1.5)
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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- published29 Apr 2026
- disclosed27 Apr 2026
- creditQuan Le of Unit 515, Cantina's AppSec agent Apex, @Evil-Squirt1e, Bofei Chen, Andrew Orr at Tenable, @blindhacker99, ChenPeng, SharlongWen, @wo1enca1ca1, Meriem BELHORA, @rockmelodies, Hyunwoo Kim, Yu Bao August829
Introduced: 27 Apr 2026
NewCVE-2026-40967 (opens in a new tab)How to fix?
Upgrade org.springframework.ai:spring-ai-mongodb-atlas-store to version 1.0.6, 1.1.5 or higher.
Overview
org.springframework.ai:spring-ai-mongodb-atlas-store is a Spring AI Vector Store - MongoDB Atlas
Affected versions of this package are vulnerable to Improper Neutralization of Special Elements in Data Query Logic via the FilterExpressionConverter implementations. An attacker can alter underlying vector store queries by supplying crafted filter expressions, as keys and values are not properly escaped during translation to backend query languages.