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medium advisory

Spring AI Data Integrity Vulnerability (CVE-2026-41863)

A data integrity vulnerability exists in Spring AI versions 1.1.x before 1.1.7, potentially allowing an attacker to compromise data integrity, as identified by CVE-2026-41863.

A vulnerability, identified as CVE-2026-41863, has been discovered in Spring AI, an application framework for developing AI-powered applications. Specifically, versions 1.1.x prior to 1.1.7 are affected. This flaw could be exploited by a malicious actor to compromise the integrity of data processed by the Spring AI application. While the specific attack vector is not detailed in the source, the impact involves potential unauthorized modification or corruption of sensitive information. This is a concern for organizations leveraging Spring AI in systems where data accuracy and reliability are paramount. Addressing this vulnerability is crucial to prevent potential data breaches and maintain the trustworthiness of AI-driven applications.

Attack Chain

  1. An attacker identifies a Spring AI application running a vulnerable version (1.1.x < 1.1.7).
  2. The attacker crafts a malicious request targeting a specific data processing component within the Spring AI application.
  3. This request leverages a vulnerability (CVE-2026-41863) to bypass intended data validation or sanitization mechanisms.
  4. The crafted request injects malicious data or commands into the data processing flow.
  5. The Spring AI application processes the malicious data, leading to unintended modification or corruption of data.
  6. The attacker gains the ability to manipulate critical data within the affected system.
  7. Compromised data can lead to incorrect AI decision-making or exposure of sensitive information.

Impact

The data integrity vulnerability in Spring AI could potentially affect organizations across various sectors utilizing the framework. Successful exploitation could lead to data corruption, unauthorized modification of sensitive information, and compromised AI decision-making. The impact severity depends on the criticality of the data managed by the vulnerable Spring AI application and the scope of the attacker’s access. Without patching to version 1.1.7 or later, systems remain at risk.

Recommendation

  • Upgrade Spring AI to version 1.1.7 or later to remediate CVE-2026-41863 as recommended by the vendor security bulletin.
  • Deploy the Sigma rules provided below to detect potential exploitation attempts targeting CVE-2026-41863.
  • Review and harden data validation and sanitization processes within Spring AI applications.

Detection coverage 2

Detects CVE-2026-41863 Exploitation Attempts - Suspicious Request Patterns

medium

Detects CVE-2026-41863 exploitation attempts — identifies suspicious request patterns to Spring AI applications that may indicate data injection attacks.

sigma tactics: initial_access techniques: T1190 sources: webserver

Detects CVE-2026-41863 Exploitation Attempts - Error Responses with AI keywords

low

Detects CVE-2026-41863 exploitation attempts — looks for error responses with AI keywords after suspicious requests.

sigma tactics: initial_access techniques: T1190 sources: webserver

Detection queries are available on the platform. Get full rules →