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Including CVEs outside Waratek scope✕Vendor org.springframework.ai✕Product spring-ai-advisors-vector-store✕
Overview 2 matches · 0 protected · 0 exploited · 0 CISA KEV · 0 public PoC · 0 EPSS ≥ 0.5
2matches 0protected0.0% 0exploited0.0% 0CISA KEV0.0% 0public PoC0.0% 0EPSS ≥ 0.50.0%
Protected by Waratek 0 0.0% Rule in development 0 0.0% Mitigation candidate 0 0.0% No exploit published 2 100.0% Outside Waratek scope 0 0.0% Not applicable 0 0.0% Withdrawn CVE 0 0.0%
Critical 0 0.0% High 1 50.0% Medium 1 50.0% Low 0 0.0% None 0 0.0% Unknown 0 0.0%
blocked by ARMR today 0 0.0% partly blocked 0 0.0% not blocked 2 100.0% not established 0 0.0% unrecorded 0 0.0%
Exploited 0 0.0% Working exploit published 0 0.0% Proof of concept only 0 0.0% Forecast only 0 0.0% No public exploit 2 100.0%
split by peak 1 / month
No exploit published: 2 Medium: 1High: 1 not blocked: 2 No public exploit: 2
Apr 261 No exploit published1 Medium1 not blocked1 No public exploit1 May 261 No exploit published1 High1 not blocked1 No public exploit1
Apr 26May 26
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CVE Severity Published▾ Status Exploitation Description
CVE-2026-41712 High 2026-05-12 No exploit published No public exploit Spring AI's chat memory component contained a problematic default that, when not explicitly overridden, could result in unintended data exposure between users.
CVE-2026-40966 Medium 2026-04-28 No exploit published No public exploit In Spring AI, an attacker can bypass conversation isolation and exfiltrate sensitive memory from other users’ chat histories, including secrets and credentials, by injecting filter logic through conversationId. Only applications that use VectorStoreChatMemoryAdvisor and pass user-supplied input as a conversationId are affected.