VMware Spring AI up to 1.0.4/1.1.3 injection

Summaryinfo

A vulnerability, which was classified as problematic, has been found in VMware Spring AI up to 1.0.4/1.1.3. Impacted is an unknown function. This manipulation causes injection. The identification of this vulnerability is CVE-2026-22738. It is possible to initiate the attack remotely. There is no exploit available. It is advisable to upgrade the affected component.

Detailsinfo

A vulnerability classified as critical was found in VMware Spring AI up to 1.0.4/1.1.3. Affected by this vulnerability is an unknown functionality. The manipulation with an unknown input leads to a injection vulnerability. The CWE definition for the vulnerability is CWE-74. The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

In Spring AI, a SpEL injection vulnerability exists in SimpleVectorStore when a user-supplied value is used as a filter expression key. A malicious actor could exploit this to execute arbitrary code. Only applications that use SimpleVectorStore and pass user-supplied input as a filter expression key are affected. This issue affects Spring AI: from 1.0.0 before 1.0.5, from 1.1.0 before 1.1.4.

The advisory is shared at spring.io. This vulnerability is known as CVE-2026-22738 since 01/09/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Neither technical details nor an exploit are publicly available. The price for an exploit might be around USD $0-$5k at the moment (estimation calculated on 03/30/2026). MITRE ATT&CK project uses the attack technique T1055 for this issue.

The vulnerability scanner Nessus provides a plugin with the ID 304267 (Spring AI 1.0.x < 1.0.5 / 1.1.x < 1.1.4 Multiple Vulnerabilities), which helps to determine the existence of the flaw in a target environment.

Upgrading to version 1.0.5 or 1.1.4 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at Tenable (304267). Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

Type

• Artificial Intelligence Software

Vendor

• VMware

Name

• Spring AI

Version

• 1.0.0
• 1.0.1
• 1.0.2
• 1.0.3
• 1.0.4
• 1.1.0
• 1.1.1
• 1.1.2
• 1.1.3

License

• commercial

Website

• Vendor: https://www.vmware.com/

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Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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