How severe is CVE-2026-41713?

CVE-2026-41713 has a CVSS 3.x base score of 8.2, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is low, integrity high, and availability none.

Is CVE-2026-41713 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (12th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2026-41713?

CVE-2026-41713 affects Vmware Spring Ai. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2026-41713?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.

Does CVE-2026-41713 have an EU (EUVD) identifier?

Yes. CVE-2026-41713 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2026-29449.

When was CVE-2026-41713 published?

CVE-2026-41713 was published on 2026-05-12 and last updated on 2026-06-17.

CVE-2026-41713

CVE-2026-41713 is a high-severity vulnerability in Vmware Spring Ai with a CVSS 3.x base score of 8.2. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-1336.

Key facts

Severity: High (CVSS 3.x base score 8.2)
EPSS exploit prediction: 0% (12th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2026-29449
Weakness: CWE-1336
Affected product: Vmware Spring Ai
Published: 2026-05-12
Last modified: 2026-06-17

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.

Frequently asked questions

What is 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.
How severe is CVE-2026-41713?: CVE-2026-41713 has a CVSS 3.x base score of 8.2, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is low, integrity high, and availability none.
Is CVE-2026-41713 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (12th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2026-41713?: CVE-2026-41713 affects Vmware Spring Ai. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2026-41713?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
Does CVE-2026-41713 have an EU (EUVD) identifier?: Yes. CVE-2026-41713 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2026-29449.
When was CVE-2026-41713 published?: CVE-2026-41713 was published on 2026-05-12 and last updated on 2026-06-17.

References

Affected products (1)

cpe:2.3:a:vmware:spring_ai:*:*:*:*:*:*:*:*

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