Spring AI Chat Memory Vulnerability Exposes User Data
A high-severity vulnerability, CVE-2026-41712, has been identified in the chat memory component of Spring AI. The National Vulnerability Database reports that a problematic default configuration could lead to unintended data exposure between users if not explicitly overridden by developers.
This isn’t just a misconfiguration; it’s a design flaw in the default state. Developers integrating Spring AI’s chat capabilities, especially those handling sensitive conversations or personal data, could inadvertently be leaking user-specific information across sessions or to other users. The CVSS score of 7.5 (HIGH) underscores the significant confidentiality impact, indicating complete data compromise is possible without authentication.
For defenders, the takeaway is clear: don’t trust defaults, especially in AI frameworks handling user interactions. The attacker’s calculus here is simple: target applications using Spring AI, probe for default configurations, and harvest sensitive data. Organizations must audit their Spring AI implementations immediately, focusing on how chat memory is managed and ensuring explicit overrides are in place to isolate user data.
What This Means For You
- If your organization uses Spring AI, specifically its chat memory component, you need to audit your configurations immediately. Check for CVE-2026-41712 and ensure you have explicitly overridden the default chat memory settings to prevent unintended data exposure between users. This isn't a 'patch later' situation; it's a 'verify your implementation now' mandate.
Related ATT&CK Techniques
🛡️ Detection Rules
2 rules · 6 SIEM formats2 detection rules auto-generated for this incident, mapped to MITRE ATT&CK. Sigma YAML is free — export to any SIEM format via the Intel Bot.
Spring AI Chat Memory Data Exposure - CVE-2026-41712
title: Spring AI Chat Memory Data Exposure - CVE-2026-41712
id: scw-2026-05-12-ai-1
status: experimental
level: high
description: |
This rule detects potential exploitation of the Spring AI chat memory vulnerability (CVE-2026-41712). It specifically looks for HTTP requests targeting a '/chat/memory' endpoint with a 'user_id=' parameter in the query string, returning a successful status code (200). This pattern suggests an attempt to access or enumerate user data stored in the chat memory component, which is the core of this vulnerability.
author: SCW Feed Engine (AI-generated)
date: 2026-05-12
references:
- https://shimiscyberworld.com/posts/nvd-CVE-2026-41712/
tags:
- attack.initial_access
- attack.t1190
logsource:
category: webserver
detection:
selection:
cs-uri|contains:
- '/chat/memory'
cs-uri-query|contains:
- 'user_id='
sc-status:
- 200
condition: selection
falsepositives:
- Legitimate administrative activity
Source: Shimi's Cyber World · License & reuse
Indicators of Compromise
| ID | Type | Indicator |
|---|---|---|
| CVE-2026-41712 | Information Disclosure | Spring AI chat memory component |
| CVE-2026-41712 | Misconfiguration | Spring AI chat memory component default configuration |
Written by SCW Vulnerability Desk
Source & Attribution
| Source Platform | NVD |
| Channel | National Vulnerability Database |
| Published | May 12, 2026 at 14:16 UTC |
This content was AI-rewritten and enriched by Shimi's Cyber World based on the original source. All intellectual property rights remain with the original author.
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