GHSA-8R2H-XH92-GQ57
Vulnerability from github – Published: 2026-06-10 00:31 – Updated: 2026-08-12 16:19
VLAI
Summary
Spring Data Relational: Attackers can supply wildcard characters to perform boolean-based blind data inference
Details
Spring Data Relational does not properly escape binding values of externally-controlled input when using StringMatcher (STARTING, ENDING, or CONTAINING) in Query By Example (QBE). An attacker can supply wildcard characters to perform boolean-based blind data inference.
Affected versions: Spring Data Relational/JDBC/R2DBC 4.0.0 through 4.0.5; 3.5.0 through 3.5.11; 3.4.0 through 3.4.14; 3.3.0 through 3.3.16; 3.2.0 through 3.2.15; 3.1.0 through 3.1.14; 3.0.0 through 3.0.15; 2.4.0 through 2.4.19.
Severity
4.8 (Medium)
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 4.0.5"
},
"package": {
"ecosystem": "Maven",
"name": "org.springframework.data:spring-data-relational"
},
"ranges": [
{
"events": [
{
"introduced": "4.0.0"
},
{
"fixed": "4.0.6"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 3.5.11"
},
"package": {
"ecosystem": "Maven",
"name": "org.springframework.data:spring-data-relational"
},
"ranges": [
{
"events": [
{
"introduced": "3.5.0"
},
{
"fixed": "3.5.12"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "Maven",
"name": "org.springframework.data:spring-data-relational"
},
"ranges": [
{
"events": [
{
"introduced": "3.4.0"
},
{
"last_affected": "3.4.14"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "Maven",
"name": "org.springframework.data:spring-data-relational"
},
"ranges": [
{
"events": [
{
"introduced": "3.0.0"
},
{
"last_affected": "3.3.16"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "Maven",
"name": "org.springframework.data:spring-data-relational"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"last_affected": "2.4.19"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-41697"
],
"database_specific": {
"cwe_ids": [
"CWE-943"
],
"github_reviewed": true,
"github_reviewed_at": "2026-08-12T16:19:02Z",
"nvd_published_at": "2026-06-10T00:16:50Z",
"severity": "MODERATE"
},
"details": "Spring Data Relational does not properly escape binding values of externally-controlled input when using StringMatcher (STARTING, ENDING, or CONTAINING) in Query By Example (QBE). An attacker can supply wildcard characters to perform boolean-based blind data inference.\n\nAffected versions:\nSpring Data Relational/JDBC/R2DBC 4.0.0 through 4.0.5; 3.5.0 through 3.5.11; 3.4.0 through 3.4.14; 3.3.0 through 3.3.16; 3.2.0 through 3.2.15; 3.1.0 through 3.1.14; 3.0.0 through 3.0.15; 2.4.0 through 2.4.19.",
"id": "GHSA-8r2h-xh92-gq57",
"modified": "2026-08-12T16:19:02Z",
"published": "2026-06-10T00:31:51Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-41697"
},
{
"type": "PACKAGE",
"url": "https://github.com/spring-projects/spring-data-relational"
},
{
"type": "WEB",
"url": "https://github.com/spring-projects/spring-data-relational/releases/tag/3.5.12"
},
{
"type": "WEB",
"url": "https://github.com/spring-projects/spring-data-relational/releases/tag/4.0.6"
},
{
"type": "WEB",
"url": "https://spring.io/security/cve-2026-41697"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:N/A:L",
"type": "CVSS_V3"
}
],
"summary": "Spring Data Relational: Attackers can supply wildcard characters to perform boolean-based blind data inference"
}
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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