CVE-2026-29090
Analyzed
Analyzed - Analysis Complete
SQL Injection in Rucio Data Management Software
Publication date: 2026-05-06
Last updated on: 2026-05-11
Assigner: GitHub, Inc.
Description
Description
### Summary
A SQL injection vulnerability exists in Rucio versions 1.30.0 and later before 35.8.5, 38.5.5, 39.4.2, and 40.1.1, in `FilterEngine.create_postgres_query()`. This allows any authenticated Rucio user to execute arbitrary SQL against the PostgreSQL metadata database through the DID search endpoint (`GET /dids/<scope>/dids/search`). When the `postgres_meta` metadata plugin is configured, attacker-controlled filter keys and values are interpolated directly into raw SQL strings via Python `.format()`, then passed to `psycopg3`'s `sql.SQL()` which treats the string as trusted SQL syntax.
Depending on the database privileges assigned to the service account, exploitation can expose sensitive tables, modify or delete metadata, access server-side files, or achieve code execution through PostgreSQL features such as COPY ... FROM PROGRAM. This issue affects deployments that explicitly use the postgres_meta metadata plugin. This vulnerability has been fixed in versions 35.8.5, 38.5.5, 39.4.2, and 40.1.1.
CVSS Scores
EPSS Scores
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Meta Information
Affected Vendors & Products
| Vendor | Product | Version / Range |
|---|---|---|
| cern | rucio | From 1.30.0 (inc) to 35.8.5 (exc) |
| cern | rucio | From 36.0.0 (inc) to 38.5.5 (exc) |
| cern | rucio | From 39.0.0 (inc) to 39.4.2 (exc) |
| cern | rucio | From 40.0.0 (inc) to 40.1.1 (exc) |
Helpful Resources
Exploitability
| CWE ID | Description |
|---|---|
| CWE-89 | The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data. |