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CVE-2026-41713

8.2 · HIGH
Published May 12, 2026 vmware CWE-1336

Overview

CVE-2026-41713 is a high-severity vulnerability affecting vmware spring_ai. It was published on May 12, 2026 and has a CVSS 3.1 base score of 8.2 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.2, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

A malicious user could craft input that is stored in conversation memory and later interpreted by the model in an unintended way. Applications using the affected advisor with user-controlled input may be susceptible to manipulation of model behavior across conversation turns.

Remediation

Check the references section for vendor advisories and patches from vmware. Update spring_ai to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Affected Products

Vendor Product Versions Status
vmware spring_ai >= 1.0.0, < 1.0.7 Affected

Frequently Asked Questions

What is CVE-2026-41713?

CVE-2026-41713 is a high-severity vulnerability affecting vmware spring_ai. It was published on May 12, 2026 and has a CVSS 3.1 base score of 8.2 (HIGH).

How severe is CVE-2026-41713?

This vulnerability has a CVSS 3.1 base score of 8.2, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2026-41713?

Check the references section for vendor advisories and patches from vmware. Update spring_ai to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2026-41713?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-41713 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.

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