How severe is CVE-2026-47835?

CVE-2026-47835 has a CVSS 3.x base score of 8.6, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity low, and availability low.

Is CVE-2026-47835 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (17th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2026-47835?

CVE-2026-47835 affects Vmware Spring Ai. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2026-47835?

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-2026-47835 have an EU (EUVD) identifier?

Yes. CVE-2026-47835 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2026-36796.

When was CVE-2026-47835 published?

CVE-2026-47835 was published on 2026-06-15 and last updated on 2026-06-17.

CVE-2026-47835

CVE-2026-47835 is a high-severity vulnerability in Vmware Spring Ai with a CVSS 3.x base score of 8.6. 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-943.

Key facts

Severity: High (CVSS 3.x base score 8.6)
EPSS exploit prediction: 0% (17th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2026-36796
Weakness: CWE-943
Affected product: Vmware Spring Ai
Published: 2026-06-15
Last modified: 2026-06-17

Description

In Spring AI Vector Stores, special characters could be used to force the execution of arbitrary queries in Elasticsearch, OpenSearch, and GemFire VectorDB. Affected components: spring-ai-elasticsearch-store, spring-ai-opensearch-store, spring-ai-gemfire-store. Affected versions: Spring AI 1.0.0 through 1.0.x (fix 1.0.9). Spring AI 1.1.0 through 1.1.x (fix 1.1.8).

Frequently asked questions

What is CVE-2026-47835?: In Spring AI Vector Stores, special characters could be used to force the execution of arbitrary queries in Elasticsearch, OpenSearch, and GemFire VectorDB. Affected components: spring-ai-elasticsearch-store, spring-ai-opensearch-store, spring-ai-gemfire-store. Affected versions: Spring AI 1.0.0 through 1.0.x (fix 1.0.9). Spring AI 1.1.0 through 1.1.x (fix 1.1.8).
How severe is CVE-2026-47835?: CVE-2026-47835 has a CVSS 3.x base score of 8.6, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity low, and availability low.
Is CVE-2026-47835 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (17th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2026-47835?: CVE-2026-47835 affects Vmware Spring Ai. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2026-47835?: 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-2026-47835 have an EU (EUVD) identifier?: Yes. CVE-2026-47835 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2026-36796.
When was CVE-2026-47835 published?: CVE-2026-47835 was published on 2026-06-15 and last updated on 2026-06-17.

References

https://spring.io/security/cve-2026-47835

Affected products (1)

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

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