SecuriTricks - CVE-2025-1194

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).

Product(s) Impacted

Vendor	Product	Versions
Huggingface	Transformers	4.48.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-1333

Inefficient Regular Expression Complexity

The product uses a regular expression with an inefficient, possibly exponential worst-case computational complexity that consumes excessive CPU cycles.

*CPE(s)

Affected systems and software identified for this CVE.

Type	Vendor	Product	Version	Update	Edition	Language	Software Edition	Target Software	Target Hardware	Other Information
a	huggingface	transformers	4.48.1	/	/	/	/	/	/	/

References

https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815

https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2

CVSS Score

4.3 / 10

CVSS Data - 3.0

Attack Vector: NETWORK
Attack Complexity: LOW
Privileges Required: NONE
Scope: UNCHANGED
Confidentiality Impact: NONE
Integrity Impact: NONE
Availability Impact: LOW

CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L

View Vector String

Timeline

Published: April 29, 2025, 12:15 p.m.
Last Modified: April 29, 2025, 2:15 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

security@huntr.dev

CVE-2025-1194