CVE-2026-63751 (GCVE-0-2026-63751)
Vulnerability from cvelistv5 – Published: 2026-07-20 12:04 – Updated: 2026-07-20 15:56
VLAI
EPSS
VEX
Title
SurrealDB before 3.1.0 Field Permission Bypass via JSON Patch
Summary
SurrealDB versions before 3.1.0 contain a field-level permission bypass vulnerability in JSON Patch operations that allows authenticated users to read protected fields. Attackers can use UPDATE PATCH with an empty from pointer in copy or move operations to duplicate all record fields, including those restricted by field-level SELECT permissions, into attacker-chosen destination fields.
Severity
4.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator (v2.0.3)
CWE
- CWE-863 - Incorrect Authorization
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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