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CVE-2025-1194

Regular Expression Denial of Service (ReDoS) in huggingface/transformers

Published: Apr 29, 2025Updated: Aug 1, 2025 Sources: CVE List NVD GHSA BDUCWE-1333
6.5MEDIUM
NVD MITRE
EPSS Score
0.4%
Top 63.9%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
Patch Available
Self-Check
Not available

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).

No summary for this CVE yet.

CVSS Vector Breakdown

AV:NAC:LPR:NUI:RS:UC:NI:NA:H
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:NPrivileges Required
None
UI:RUser Interaction
Required
Scope
S:UScope
Unchanged
Impact
C:NConfidentiality
None
I:NIntegrity
None
A:HAvailability
High
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Weaknesses

CWE-1333

Affected Products

huggingface
commercialaka transformers, smolagents, huggingface/transformers
transformersLibraryLibrary
AI / ML / ml-framework
huggingface/transformersLibraryLibrary
AI / ML / ml-framework
PyPI
package-ecosystem
transformers
OSS Libraries
Hugging Face, Inc.
commercialaka transformers, huggingface, smolagents
TransformersMixed
AI / ML / ml-framework

Exploitability

Official Patch Available

Attack Graph

Products CVE Techniques Tactics

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MITRE ATT&CK

1 technique
Impact
View detailed technique mapping

References

https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815
github.com
https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2
huntr.com
https://nvd.nist.gov/vuln/detail/CVE-2025-1194
nvd.nist.gov
and 1 more references View all →

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