CVE-2026-40966GHSA-V6X6-PJXW-3PV2
VectorStoreChatMemoryAdvisor conversation scoping can lead to cross-tenant memory exfiltration
- Published
- Last modified
- Where the record stands: published, rejected by its publisher, or superseded by another id.What do these mean? →
- published
- Whether CISA lists it in its Known Exploited Vulnerabilities catalog: proof that attackers are using it.What do these mean? →
- Not listed in CISA KEV
- Fix
- Fixed in 1.0.6, 1.1.5
- Whether working attack code is public (Exploit-DB, Metasploit, Nuclei or GitHub). Public code makes attacks easier.What do these mean? →
- None on Exploit-DB, Metasploit or GitHub
CISA's decision points: whether it is exploited, whether attacks can be automated, and how much control an attacker gets. Assessed (SSVC 2.0.3).What do these mean? →
- Exploitation: none
- Automatable: no
- Technical impact: partial
Summary
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.
Timeline
- CVE published
- CISA SSVC assessment
Exploitation: none · Automatable: no · Technical impact: partial
- Record last updated
Affected versions
- VMware Spring AI
From 1.0.0 · fixed in 1.0.6; From 1.1.0 · fixed in 1.1.5
- org.springframework.ai:spring-ai-advisors-vector-storeMaven
From 1.0.0 · fixed in 1.0.6
- org.springframework.ai:spring-ai-advisors-vector-storeMaven
From 1.1.0 · fixed in 1.1.5