CVE-2026-41712: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in VMware Spring AI
Spring AI's chat memory component contained a problematic default that, when not explicitly overridden, could result in unintended data exposure between users.
AI Analysis
Technical Summary
The vulnerability CVE-2026-41712 affects VMware Spring AI's chat memory component. A problematic default configuration can lead to unintended data exposure between users, classified under CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor). The CVSS 3.1 base score is 7.5, reflecting a network attack vector with low complexity, no privileges required, no user interaction, and high confidentiality impact. The affected versions are 1.0.0 and 1.1.0. No patch or official remediation level has been disclosed by VMware as of the publication date.
Potential Impact
Unauthorized actors may gain access to sensitive information due to the default chat memory configuration in affected Spring AI versions. The confidentiality of data is compromised, but integrity and availability are not impacted. This could lead to information leakage between users of the system.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should review and explicitly override the default chat memory settings to prevent unintended data exposure. Monitor VMware's advisories for updates on patches or official mitigations.
CVE-2026-41712: CWE-200 Exposure of Sensitive Information to an Unauthorized Actor in VMware Spring AI
Description
Spring AI's chat memory component contained a problematic default that, when not explicitly overridden, could result in unintended data exposure between users.
CVSS v3.1
Score 7.5high
Affected software
pkg:maven/org.springframework/spring-aiRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability CVE-2026-41712 affects VMware Spring AI's chat memory component. A problematic default configuration can lead to unintended data exposure between users, classified under CWE-200 (Exposure of Sensitive Information to an Unauthorized Actor). The CVSS 3.1 base score is 7.5, reflecting a network attack vector with low complexity, no privileges required, no user interaction, and high confidentiality impact. The affected versions are 1.0.0 and 1.1.0. No patch or official remediation level has been disclosed by VMware as of the publication date.
Potential Impact
Unauthorized actors may gain access to sensitive information due to the default chat memory configuration in affected Spring AI versions. The confidentiality of data is compromised, but integrity and availability are not impacted. This could lead to information leakage between users of the system.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is released, users should review and explicitly override the default chat memory settings to prevent unintended data exposure. Monitor VMware's advisories for updates on patches or official mitigations.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- vmware
- Date Reserved
- 2026-04-22T06:21:34.490Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a031edecbff5d8610deb8cf
Added to database: 05/12/2026, 12:36:46 UTC
Last enriched: 05/12/2026, 12:51:30 UTC
Last updated: 06/30/2026, 20:51:28 UTC
Views: 138
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