CVE-2025-1194: Regular Expression Denial of Service (ReDoS) in huggingface/transformers
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).
Classification
CVE ID: CVE-2025-1194
CVSS Base Severity: MEDIUM
CVSS Base Score: 4.3
CVSS Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L
Problem Types
CWE-1333 Inefficient Regular Expression ComplexityAffected Products
Vendor: huggingface
Product: huggingface/transformers
Exploit Prediction Scoring System (EPSS)
EPSS Score: 0.05% (probability of being exploited)
EPSS Percentile: 16.21% (scored less or equal to compared to others)
EPSS Date: 2025-05-28 (when was this score calculated)
References
https://nvd.nist.gov/vuln/detail/CVE-2025-1194https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2
https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815