4.3
Medium
CVE-2025-1194 A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library,…
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).
Affected products and versions
| Product | Affected versions | Fixed in |
|---|---|---|
| huggingface/transformers 4.50 | earliest → < 4.50.0 | 4.50.0 |
Other CVEs of huggingface/transformers
The 20 CVEs of huggingface/transformers →
CVE-2026-9856
A vulnerability in huggingface/transformers…
7.1
High
CVE-2026-5241
A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an…
8.0
High
CVE-2026-4372
A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to…
7.8
High
CVE-2026-1839
A vulnerability in the HuggingFace Transformers library, specifically in the `Trainer` class, allows for arbitrary…
6.5
Medium