CVE-2026-57845

Published: Ott 23, 2026 Last Modified: Ott 23, 2026
ExploitDB:
Other exploit source:
Google Dorks:
HIGH 8,7
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: passive
Confidentiality: N/A
Integrity: N/A
Availability: N/A
HIGH 8,8
Source: [email protected]
Attack Vector: network
Attack Complexity: low
Privileges Required: none
User Interaction: required
Scope: unchanged
Confidentiality: high
Integrity: high
Availability: high

Description

Hugging Face Datasets through 5.1.0 contains an insecure deserialization vulnerability that allows attackers to execute arbitrary Python code by crafting a malicious pickle file loaded through the deprecated pandas packaged builder. Attackers can supply a pickle-backed dataset that is processed by Pandas._generate_tables via pandas.read_pickle() without validation, so when a victim calls datasets.load_dataset('pandas', data_files=...), the embedded __reduce__ payload executes code with the victim process's privileges.

502

Deserialization of Untrusted Data

Draft
Abstraction: Base Structure: Simple
Common Consequences
Security Scopes Affected:
Integrity Availability Other
Potential Impacts:
Modify Application Data Unexpected State Dos: Resource Consumption (Cpu) Varies By Context
Applicable Platforms
Languages: Java, Ruby, PHP, Python, JavaScript
Technologies: Not Technology-Specific, ICS/OT, AI/ML
Likelihood of Exploit: Medium
View CWE Details
https://github.com/huggingface/datasets/pull/8879
https://github.com/huggingface/datasets/pull/8879
https://github.com/SaiTeja-Erukude/CVE-2026-57845-hf-datase…
https://github.com/SaiTeja-Erukude/CVE-2026-57845-hf-datasets-rce
https://www.vulncheck.com/advisories/hugging-face-datasets-…
https://www.vulncheck.com/advisories/hugging-face-datasets-pickle-deserializati…