CVE-2025-1194 – Huggingface Transformers Library GPT-NeoX-Japanese ReDoS Vulnerability

The following table lists the changes that have been made to the
CVE-2025-1194 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution
of a vulnerability, and for identifying the most recent changes that may
impact the vulnerability’s severity, exploitability, or other characteristics.

  • New CVE Received
    by [email protected]

    Apr. 29, 2025

    Action Type Old Value New Value
    Added 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).
    Added CVSS V3 AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L
    Added CWE CWE-1333
    Added Reference https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815
    Added Reference https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2
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