Vulnerability in VMware Spring Ai
CVE-2026-41713
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.
Published · last modified .
CVSS v3 metric
CVSS v3 base score 8.2 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:H/A:N.
EPSS exploit prediction
EPSS: 0.004 (26.3th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 26th percentile — 26.3% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.002 · newest: 0.004 · change: +0.001
Affected products
- VMware Spring Ai — versions 1.0.0, 1.1.0
- VMware Spring Ai
Weakness classification (CWE)
References
- nvd.nist.gov/vuln-metrics/cvss/v3-calculator (US Government Resource)
- spring.io/security/cve-2026-41713 (Vendor Advisory)
Frequently asked questions
- What is CVE-2026-41713?
- CVE-2026-41713 is a high-severity vulnerability in VMware Spring Ai, classified under Improper Neutralization of Special Elements Used in a Template Engine. CVSS score: 8.2/10. Published 2026-05-12.
- How severe is CVE-2026-41713?
- High severity. CVSS v3 base score is 8.2 out of 10.