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CVE-2026-47384 (GCVE-0-2026-47384)

Vulnerability from cvelistv5 – Published: 2026-06-23 20:15 – Updated: 2026-06-24 12:37
VLAI
Title
NocoDB: SQL Injection via Column Title in Bulk GroupBy
Summary
NocoDB is software for building databases as spreadsheets. Prior to 2026.05.1, an authenticated user with column-create permission can inject SQL into the bulk groupBy endpoint by setting a column's title to a SQL fragment. The bulk groupBy path in group-by.ts builds three database-specific knex.raw() aggregations that interpolate the request's column_name directly into the SQL string. Column lookup in data-table.service.ts matches on both the sanitized column_name field and the free-text title, so a title containing a SQL fragment bypasses the public endpoint's existing column allowlist and reaches the query builder unescaped. This vulnerability is fixed in 2026.05.1.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-24 12:36 UTC
CWE
  • CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
References
Impacted products
Vendor Product Version CPE status
nocodb nocodb Affected: < 2026.05.1
guessed Create a notification for this product.
Show details on NVD website

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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

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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.
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  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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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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