CVE-2025-1194

Description

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).

How to fix CVE-2025-1194

To remediate CVE-2025-1194, upgrade the affected package to a fixed version below.

• —upgrade to 4.50.0 or later

Is CVE-2025-1194 being exploited?

Low — EPSS is 0.1%, meaning exploitation activity has not been observed at scale.

Affected packages (1)

• from 0, < 4.50.0

CVSS scores

References (4)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2025-1194
• PATCHgithub.com/huggingface/transformers
• WEBgithub.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815
• WEBhuntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2