Improper Neutralization of Special Elements in Data Query Logic Affecting org.springframework.ai:spring-ai-advisors-vector-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.
Do your applications use this vulnerable package?
In a few clicks we can analyze your entire application and see what components are vulnerable in your application, and suggest you quick fixes.
Test your applicationsSnyk Learn
Learn about Improper Neutralization of Special Elements in Data Query Logic vulnerabilities in an interactive lesson.
Start learning- Snyk IDSNYK-JAVA-ORGSPRINGFRAMEWORKAI-16316424
- published29 Apr 2026
- disclosed27 Apr 2026
- creditJinyeong Seol, Cantina's AppSec agent, Apex
Introduced: 27 Apr 2026
NewCVE-2026-40966 (opens in a new tab)How to fix?
Upgrade org.springframework.ai:spring-ai-advisors-vector-store to version 1.0.6, 1.1.5 or higher.
Overview
org.springframework.ai:spring-ai-advisors-vector-store is a Chat client advisors for Spring AI
Affected versions of this package are vulnerable to Improper Neutralization of Special Elements in Data Query Logic via the conversationId handling in VectorStoreChatMemoryAdvisor. An attacker can bypass conversation isolation and exfiltrate sensitive data from other users’ chat histories by injecting crafted filter logic through a user-controlled conversationId, allowing access to secrets and credentials.