6.5
MEDIUM CVSS 3.1
CVE-2025-1194
Huggingface Transformers Library GPT-NeoX-Japanese ReDoS Vulnerability
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).

INFO

Published Date :

April 29, 2025, 12:15 p.m.

Last Modified :

Aug. 1, 2025, 9:56 p.m.

Remotely Exploit :

Yes !
Affected Products

The following products are affected by CVE-2025-1194 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

ID Vendor Product Action
1 Huggingface transformers
CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.0 MEDIUM [email protected]
CVSS 3.1 MEDIUM [email protected]
References to Advisories, Solutions, and Tools

Here, you will find a curated list of external links that provide in-depth information, practical solutions, and valuable tools related to CVE-2025-1194.

URL Resource
https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815 Patch
https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2 Exploit Third Party Advisory
https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2 Exploit Third Party Advisory
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2025-1194 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2025-1194 weaknesses.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2025-1194 vulnerability anywhere in the article.

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.

  • Initial Analysis by [email protected]

    Aug. 01, 2025

    Action Type Old Value New Value
    Added CVSS V3.1 AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:H
    Added CPE Configuration OR *cpe:2.3:a:huggingface:transformers:*:*:*:*:*:*:*:* versions up to (excluding) 4.50.0
    Added Reference Type huntr.dev: https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815 Types: Patch
    Added Reference Type CISA-ADP: https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2 Types: Exploit, Third Party Advisory
    Added Reference Type huntr.dev: https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2 Types: Exploit, Third Party Advisory
  • CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0

    Apr. 29, 2025

    Action Type Old Value New Value
    Added Reference https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2
  • 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
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
Vulnerability Scoring Details
Base CVSS Score: 6.5
Attack Vector
Attack Complexity
Privileges Required
User Interaction
Scope
Confidentiality Impact
Integrity Impact
Availability Impact
Base CVSS Score: 4.3
Attack Vector
Attack Complexity
Privileges Required
User Interaction
Scope
Confidentiality Impact
Integrity Impact
Availability Impact