CVE-2026-63748 (GCVE-0-2026-63748)
Vulnerability from cvelistv5 – Published: 2026-07-20 12:04 – Updated: 2026-07-20 12:53
VLAI
EPSS
VEX
Title
SurrealDB before 3.1.0 Information Disclosure via Error Messages
Summary
SurrealDB versions before 3.1.0 contain an information disclosure vulnerability where authenticated users with UPDATE access can read field values hidden by field-level SELECT permissions through error messages. Attackers can trigger arithmetic or extend operations on hidden fields to embed raw operand values in error responses, bypassing field-level access controls.
Severity
4.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-209 - Generation of Error Message Containing Sensitive Information
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/surrealdb/surrealdb/security/a… | vendor-advisory |
| https://www.vulncheck.com/advisories/surrealdb-be… | third-party-advisory |
Impacted products
Date Public
2026-05-27 00:00
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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.
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