How severe is CVE-2026-59319?

CVE-2026-59319 has a CVSS 3.x base score of 4.3, rated medium severity. It is exploitable over network with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is low, integrity none, and availability none.

Is CVE-2026-59319 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (21st percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2026-59319?

CVE-2026-59319 affects Vmware Spring Ai. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2026-59319?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.

When was CVE-2026-59319 published?

CVE-2026-59319 was published on 2026-08-27 and last updated on 2026-08-31.

CVE-2026-59319

CVE-2026-59319 is a medium-severity vulnerability in Vmware Spring Ai with a CVSS 3.x base score of 4.3. 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: Medium (CVSS 3.x base score 4.3)
EPSS exploit prediction: 0% (21st percentile)
Actively exploited: Not listed in CISA KEV
Weakness: CWE-943
Affected product: Vmware Spring Ai
Published: 2026-08-27
Last modified: 2026-08-31

Description

RedisChatMemoryRepository.findByMetadata() builds RediSearch tag and text queries from caller-supplied metadata values without applying RediSearchUtil.escape(), unlike get(), clear(), and findByTimeRange() in the same class which do escape their inputs. An application that passes user-controlled values to findByMetadata() on a tag-typed metadata field allows an attacker to inject RediSearch syntax (e.g. x} | *) that breaks out of the tag clause and matches all indexed chat messages across every conversation in the index. Spring AI 2.0.0

Frequently asked questions

What is CVE-2026-59319?: RedisChatMemoryRepository.findByMetadata() builds RediSearch tag and text queries from caller-supplied metadata values without applying RediSearchUtil.escape(), unlike get(), clear(), and findByTimeRange() in the same class which do escape their inputs. An application that passes user-controlled values to findByMetadata() on a tag-typed metadata field allows an attacker to inject RediSearch syntax (e.g. x} | *) that breaks out of the tag clause and matches all indexed chat messages across every conversation in the index. Spring AI 2.0.0
How severe is CVE-2026-59319?: CVE-2026-59319 has a CVSS 3.x base score of 4.3, rated medium severity. It is exploitable over network with low attack complexity, requires low privileges and no user interaction. Impact on confidentiality is low, integrity none, and availability none.
Is CVE-2026-59319 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 0% (21st percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2026-59319?: CVE-2026-59319 affects Vmware Spring Ai. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2026-59319?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround.
When was CVE-2026-59319 published?: CVE-2026-59319 was published on 2026-08-27 and last updated on 2026-08-31.

References

https://spring.io/security/cve-2026-59319

Affected products (1)

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

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