CVE-2025-1194

A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, specifically in the file `tokenization_gpt_neox_japanese.py` of the GPT-NeoX-Japanese model. The vulnerability occurs in the SubWordJapaneseTokenizer class, where regular expressions process specially crafted inputs. The issue stems from a regex exhibiting exponential complexity under certain conditions, leading to excessive backtracking. This can result in high CPU usage and potential application downtime, effectively creating a Denial of Service (DoS) scenario. The affected version is v4.48.1 (latest).

CVSS v3 6.5 MEDIUM

6.5^/10

CVSS v3 : MEDIUM

Vector :

Exploitability : 2.8 / Impact : 3.6

Attack Vector NETWORK

Attack Complexity LOW

Privileges Required NONE

User Interaction REQUIRED

Confidentiality Impact NONE

Integrity Impact NONE

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815	Patch
https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2	Exploit Third Party Advisory
https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2	Exploit Third Party Advisory

Configurations

Configuration 1 (hide)

cpe:2.3:a:huggingface:transformers:*:*:*:*:*:*:*:*

History

No history.

Information

Published : 2025-04-29 12:15

Updated : 2025-08-01 21:56

NVD link : CVE-2025-1194

Mitre link : CVE-2025-1194

CVE.ORG link : CVE-2025-1194

JSON object : View

Products Affected

huggingface

transformers

CWE

CWE-1333

Inefficient Regular Expression Complexity

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