CVE-2025-1194

What it is

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).

At a glance

Exploitability

Can be exploited over the network without logging in, but needs a user to act. High risk of service disruption.

Exploit odds

0.5% chance of exploitation in the next 30 days (EPSS).

Fix

A patch, advisory or fixed version is referenced. Upgrade or apply it.

Timeline

1. 2025-04-29 12:15 UTC PublishedDisclosed publicly on CVE.org and NVD
2. 2026-06-17 08:38 UTC Last updatedMost recent change to the record

Details

Published

2025-04-29 12:15 UTC

Last modified

2026-06-17 08:38 UTC

Exploit probability

0.5% · EPSS, next 30 days

Weakness

CWE-1333

Record status

Analyzed

Affected

• Huggingface Transformers < 4.50.0

Attack profile CVSS 3.1 · 6.5

Attack vector

Network

Complexity

Low

Privileges needed

None

User interaction

Required

Scope

Unchanged

Confidentiality

None

Integrity

None

Availability

High