CVE-2025-1194
6.5 · MEDIUMOverview
CVE-2025-1194 is a medium-severity vulnerability affecting huggingface transformers. It was published on April 29, 2025 and has a CVSS 3.1 base score of 6.5 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical 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).
Remediation
Check the references section for vendor advisories and patches from huggingface. Update transformers to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| huggingface | transformers | >= 0, < 4.50.0 | Affected |
Frequently Asked Questions
What is CVE-2025-1194?
CVE-2025-1194 is a medium-severity vulnerability affecting huggingface transformers. It was published on April 29, 2025 and has a CVSS 3.1 base score of 6.5 (MEDIUM).
How severe is CVE-2025-1194?
This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2025-1194?
Check the references section for vendor advisories and patches from huggingface. Update transformers to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2025-1194?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-1194 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.
Related MEDIUM CVEs from 2025
View all →OpenID Connect Core through 1.0 errata set 2 allows audience injection in certain situations. When t
In certain IETF OAuth 2.0-related specifications, when the JSON Web Token Profile for OAuth 2.0 Clie
Missing Critical Step in Authentication vulnerability in Elfatek Elektronics ANKA JPD-00028 allows A
In version v0.3.8 of open-webui/open-webui, sensitive actions such as deleting and resetting are per
Parse Server is an open source backend that can be deployed to any infrastructure that can run Node.
Dell Client Platform BIOS contains a Stack-based Buffer Overflow Vulnerability. A high privileged at
In JetBrains Toolbox App before 2.6 unencrypted credential transmission during SSH authentication wa
VMware NSX contains a stored Cross-Site Scripting (XSS) vulnerability in the gateway firewall due to
Authentication vulnerability in the distributed collaboration framework module Impact: Successful ex
SAPCAR allows an attacker logged in with high privileges to create a malicious SAR archive in SAPCAR
SAPCAR allows an attacker logged in with high privileges to override the permissions of the current
DSpace open source software is a repository application which provides durable access to digital res