CVE-2026-59319 (GCVE-0-2026-59319)
Vulnerability from cvelistv5 – Published: 2026-08-27 18:04 – Updated: 2026-08-27 18:04
VLAI
EPSS
VEX
Title
RediSearch Tag Injection in RedisChatMemoryRepository Allows Cross-Conversation Data Exposure
Summary
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
Severity
4.3 (Medium)
Assigner
References
1 reference
Impacted products
{
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"affected": [
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"defaultStatus": "unaffected",
"product": "Spring AI",
"vendor": "Spring",
"versions": [
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"status": "affected",
"version": "2.0.0",
"versionType": "custom"
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"value": "\u003cp\u003eRedisChatMemoryRepository.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.\u003c/p\u003e\u003cp\u003eSpring AI 2.0.0\u003c/p\u003e"
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"value": "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.\nSpring AI 2.0.0"
}
],
"impacts": [
{
"descriptions": [
{
"lang": "en",
"value": "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."
}
]
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"format": "CVSS",
"scenarios": [
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"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"description": "CWE-943 Improper Neutralization of Special Elements in Data Query Logic",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-27T18:04:46.944Z",
"orgId": "dcf2e128-44bd-42ed-91e8-88f912c1401d",
"shortName": "vmware"
},
"references": [
{
"url": "https://spring.io/security/cve-2026-59319"
}
],
"source": {
"discovery": "UNKNOWN"
},
"title": "RediSearch Tag Injection in RedisChatMemoryRepository Allows Cross-Conversation Data Exposure"
}
},
"cveMetadata": {
"assignerOrgId": "dcf2e128-44bd-42ed-91e8-88f912c1401d",
"assignerShortName": "vmware",
"cveId": "CVE-2026-59319",
"datePublished": "2026-08-27T18:04:46.944Z",
"dateReserved": "2026-07-04T18:14:10.167Z",
"dateUpdated": "2026-08-27T18:04:46.944Z",
"state": "PUBLISHED"
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"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-59319",
"date": "2026-08-28",
"epss": "0.00215",
"percentile": "0.11679"
},
"nvd": "{\"cve\":{\"id\":\"CVE-2026-59319\",\"sourceIdentifier\":\"security@vmware.com\",\"published\":\"2026-08-27T20:17:57.913\",\"lastModified\":\"2026-08-28T18:47:30.163\",\"vulnStatus\":\"Awaiting Analysis\",\"cveTags\":[],\"descriptions\":[{\"lang\":\"en\",\"value\":\"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.\\nSpring AI 2.0.0\"}],\"affected\":[{\"source\":\"security@vmware.com\",\"affectedData\":[{\"vendor\":\"Spring\",\"product\":\"Spring AI\",\"defaultStatus\":\"unaffected\",\"versions\":[{\"version\":\"2.0.0\",\"versionType\":\"custom\",\"status\":\"affected\"}]}]}],\"metrics\":{\"cvssMetricV31\":[{\"source\":\"security@vmware.com\",\"type\":\"Secondary\",\"cvssData\":{\"version\":\"3.1\",\"vectorString\":\"CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N\",\"baseScore\":4.3,\"baseSeverity\":\"MEDIUM\",\"attackVector\":\"NETWORK\",\"attackComplexity\":\"LOW\",\"privilegesRequired\":\"LOW\",\"userInteraction\":\"NONE\",\"scope\":\"UNCHANGED\",\"confidentialityImpact\":\"LOW\",\"integrityImpact\":\"NONE\",\"availabilityImpact\":\"NONE\"},\"exploitabilityScore\":2.8,\"impactScore\":1.4}]},\"references\":[{\"url\":\"https://spring.io/security/cve-2026-59319\",\"source\":\"security@vmware.com\"}]}}"
}
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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