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Spring AI CVE-2026-59319

| EUVDEUVD-2026-67200 MEDIUM
Improper Neutralization of Special Elements in Data Query Logic (CWE-943)
2026-08-27 vmware GHSA-7r3j-5666-wc3c
4.3
CVSS 3.1 · Vendor: vmware
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Severity by source

Vendor (vmware) PRIMARY
4.3 MEDIUM
AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
vuln.today AI
4.3 MEDIUM

Network-reachable via application layer; PR:L because a valid authenticated session is required; C:L for cross-conversation message read with no integrity or availability impact.

3.1 AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N

Primary rating from Vendor (vmware).

CVSS VectorVendor: vmware

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
Low
Integrity
None
Availability
None

Lifecycle Timeline

1
Analysis Generated
Aug 27, 2026 - 21:07 vuln.today

DescriptionCVE.org

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

AnalysisAI

RediSearch query injection in Spring AI 2.0.0's RedisChatMemoryRepository grants authenticated low-privilege users read access to all indexed chat messages across every conversation in the Redis index. The findByMetadata() method omits the RediSearchUtil.escape() call consistently applied by sibling methods (get(), clear(), findByTimeRange()), allowing attacker-controlled metadata values to break out of RediSearch tag query clauses via injected syntax such as x} | * and match all documents in the index. …

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Attack ChainAIDerived

Hypothetical attack flow derived from CVE metadata

Access
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Delivery
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Exploit
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Execution
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Persist
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Impact
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Vulnerability AssessmentAI

Exploitation Exploitation requires all of the following: (1) the application uses Spring AI 2.0.0 with RedisChatMemoryRepository backed by Redis and the RediSearch module; (2) the application exposes a code path that calls findByMetadata() with a value derived from user-controlled input targeting a tag-typed metadata field; (3) the attacker holds a valid low-privilege authenticated session in the application (PR:L per the provided CVSS vector). … Additional conditions and limiting factors are described in the full assessment.
Risk Assessment The CVSS 3.1 score of 4.3 (AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N) reflects moderate real-world risk that is accurately characterized by the vector. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in.
Exploit Scenario Full exploit scenario with step-by-step reproduction available after sign-in.
Remediation Consult the official Spring AI security advisory at https://spring.io/security/cve-2026-59319 for the vendor-confirmed patched release, as no specific fix version was included in the available intelligence data. … Detailed patch versions, workarounds, and compensating controls in full report.

Threat intelligence, references, and detailed analysis are available after sign-in.

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CVE-2026-59319 vulnerability details – vuln.today

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