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CVE-2025-1194

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Date: April 29, 2025

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).

Severity Score

Severity Score

Weakness Type (CWE)

Inefficient Regular Expression Complexity

CWE-1333

Top Fix

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Upgrade Version

Upgrade to version transformers - 4.50.0;transformers - 4.50.0;https://github.com/huggingface/transformers.git - v4.50.0

Learn More

CVSS v3.1

Base Score:
Attack Vector (AV): NETWORK
Attack Complexity (AC): LOW
Privileges Required (PR): NONE
User Interaction (UI): REQUIRED
Scope (S): UNCHANGED
Confidentiality (C): NONE
Integrity (I): NONE
Availability (A): LOW

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