CVE-2026-66007

Published: Lug 24, 2026 Last Modified: Lug 24, 2026
ExploitDB:
Other exploit source:
Google Dorks:
MEDIUM 6,9
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: active
Confidentiality: N/A
Integrity: N/A
Availability: N/A
MEDIUM 6,5
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: required
Scope: unchanged
Confidentiality: high
Integrity: none
Availability: none

Description

AI Translation Available

Datasets through 5.0.0, fixed in commit f989ef9, contains a path traversal vulnerability in folder-based dataset builders where the file_name metadata field is not properly validated before being joined to the dataset directory. Attackers can supply crafted file_name values with directory traversal sequences to read arbitrary local files, which are then embedded into output when save_to_disk or push_to_hub is called.

22

Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal')

Stable
Common Consequences
Security Scopes Affected:
Integrity Confidentiality Availability
Potential Impacts:
Execute Unauthorized Code Or Commands Modify Files Or Directories Read Files Or Directories Dos: Crash, Exit, Or Restart
Applicable Platforms
Technologies: AI/ML
View CWE Details
https://github.com/huggingface/datasets/commit/f989ef9b4cc6c0039a7a82458eebca49…
https://github.com/huggingface/datasets/issues/8324
https://github.com/huggingface/datasets/pull/8325
https://www.vulncheck.com/advisories/datasets-path-traversal-via-unsanitized-fi…