Kedro is a toolbox for production-ready data science. Prior to 1.3.0, the _get_versioned_path() method in kedro/io/core.py constructs filesystem paths by directly interpolating user-supplied version strings without sanitization. Because version strings are used as path components, traversal sequences such as ../ are preserved and can escape the intended versioned dataset directory. This is reachable through multiple entry points: catalog.load(..., version=...), DataCatalog.from_config(..., load_versions=...), and the CLI via kedro run --load-versions=dataset:../../../secrets. An attacker who can influence the version string can force Kedro to load files from outside the intended version directory, enabling unauthorized file reads, data poisoning, or cross-tenant data access in shared environments. This vulnerability is fixed in 1.3.0.
| Métrique | Valeur | Interprétation |
|---|---|---|
|
AV (Vecteur d'Attaque)
Attack Vector
|
Network (N)
|
Exploit possible à distance via réseau (HTTP, API, etc.) |
|
AC (Complexité d'Attaque)
Attack Complexity
|
Low (L)
|
Peu de conditions requises pour exploiter |
|
PR (Privilèges Requis)
Privileges Required
|
Low (L)
|
Authentifié avec compte utilisateur basique |
|
UI (Interaction Utilisateur)
User Interaction
|
None (N)
|
Aucune interaction utilisateur nécessaire |
|
S (Périmètre)
Scope
|
Unchanged (U)
|
Impact reste dans le périmètre du composant compromis |
|
C (Impact Confidentialité)
Confidentiality Impact
|
High (H)
|
Divulgation totale d'informations |
|
I (Impact Intégrité)
Integrity Impact
|
Low (L)
|
Modification limitée des données possible |
|
A (Impact Disponibilité)
Availability Impact
|
None (N)
|
Aucune interruption de service |
Kedro: Path Traversal in versioned dataset loading via unsanitized version string
Kedro has a path traversal in versioned dataset loading via unsanitized version string