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🛡️ CVE-2026-47279 — nocodb

⚪ Unknown ✅ No Known Exploit CWE-284 NVD
N/A
CVSS Score
0 Low4 Medium7 High9 Critical10

Description

NocoDB: Hidden LTAR Column Exposure in Public Shared-View Relation Endpoints

Summary

The public shared-view relation endpoints accepted a caller-supplied column

ID without verifying that the column was visible in the shared view, so

anyone holding a share UUID could read links from any LTAR column on the

view's table — including columns the view owner had hidden.

Details

publicMmList, publicHmList, and relDataList already ensured that the

requested column belonged to the view's model, but did not check the

view-column entry's show flag. All three handlers now also fetch the

shared view's column entries and reject the request unless the matching

entry has show=true. The four public relation routes covered by the fix

are:

  • GET /api/v2/public/shared-view/:uuid/rows/:rowId/mm/:columnId (many-to-many)
  • GET /api/v2/public/shared-view/:uuid/rows/:rowId/hm/:columnId (has-many)
  • GET /api/v2/public/shared-view/:uuid/rows/:rowId/{ln,om}/:columnId

(links / one-to-many — both share the many-to-many handler)

  • GET /api/v2/public/shared-view/:uuid/nested/:columnId (form/gallery

picker)

Impact

Anyone holding a share UUID could enumerate the full set of linked records

for any hidden LTAR column on the view's table by calling the relation

endpoint directly, even when the same column was correctly omitted from the

public /rows response.

Credit

This issue was reported by [@leduckhuong](https://github.com/leduckhuong).

How this vulnerability can be exploited

This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. Rated impact: confidentiality low, integrity none, availability none.

CVSS metrics in full

The score comes from this vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N

  • Attack vector: Network — reachable from anywhere that can route to the service.
  • Attack complexity: Low — the attack works reliably, with no preparation.
  • Attack requirements: None — no deployment-specific condition has to hold.
  • Privileges required: None — an unauthenticated stranger can try it.
  • User interaction: None — nobody has to be tricked into anything.
  • Confidentiality impact: Low — limited, and the attacker does not choose what is affected.
  • Integrity impact: None.
  • Availability impact: None.

Weakness class

CVE-2026-47279 is classified as CWE-284: Improper Access Control. The software does not restrict an action to the actors that should be allowed to perform it.

Affected software

CVE-2026-47279 is recorded against 2 packages.

  • nocodb (fixed in 2026.05.1)
  • unknown

Timeline and source

Published on 5 June 2026 and last revised on 20 July 2026. No public exploit is currently recorded for this entry. Record sourced from NVD.

References

github.com (Web)
nvd.nist.gov (Advisory)
github.com (Package)
github.com (Web)

Other advisories for this package

nocodb has other advisories on record. If you are patching this one, these are worth checking on the same host:

Same weakness in other software

These advisories are the same class of weakness (CWE-284: Improper Access Control) in other software:

Details

Severity Unknown
CVSS Score N/A
CVSS Vector CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N
CWE CWE-284
Public Exploit ✅ No
Source NVD
Published 2026-06-05
Updated 2026-08-20
Modified 2026-07-20
Fix URL N/A

Affected Packages

Software From version Fixed in
nocodb — 2026.05.1
unknown — —

Similar Threats

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ⓘ Data Notice: The information presented above has been compiled from publicly available internet sources. Boteraser aggregates this data solely for informational purposes and does not independently classify, evaluate, or endorse any findings about the vulnerabilities listed. The accuracy and completeness of this information is the sole responsibility of the original publishers. Boteraser and its operators accept no liability for any decisions made based on this data.

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