Cross-tenant memory disclosure via conversationId filter injection
Published Apr 28, 2026 · Updated Apr 28, 2026
Improper access control in Spring AI 1.0.0 through 1.0.5 and 1.1.0 through 1.1.4 allows remote attackers to read other users' chat memory. VectorStoreChatMemoryAdvisor embeds an untrusted conversationId into vector-store retrieval filter logic without restricting it to a literal identifier. Exposure requires an application to use that advisor and accept user-supplied conversationId values; successful injection discloses stored chat history, including secrets and credentials.
Summary
What happened
Improper access control in Spring AI 1.0.0 through 1.0.5 and 1.1.0 through 1.1.4 allows remote attackers to read other users' chat memory. VectorStoreChatMemoryAdvisor embeds an untrusted conversationId into vector-store retrieval filter logic without restricting it to a literal identifier. Exposure requires an application to use that advisor and accept user-supplied conversationId values; successful injection discloses stored chat history, including secrets and credentials.
The record
- CVE
- CVE-2026-40966
- Published
- Apr 28, 2026
- Updated
- Apr 28, 2026
- Vendor
- Spring
- Product
- Spring AI
- Classifications
- CWE-284, T1213
- Attack vector
- network
- Privileges
- unauthenticated
Timeline
How it unfolded
- Apr 28, 2026CVE publishedPublication date reported by the CVE source.
- Apr 28, 2026Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=1.0.0 <1.0.6
- Affected versionversion=1.1.0 <1.1.5
What conditions does exploitation require?
What is affected?
Published CVSS scores
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Attacks
What attackers are doing with it
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Public exploit references
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Technologies
Your stack
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Your stack
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