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).
{
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/1xxx/CVE-2025-1194.json",
"cna_assigner": "@huntr_ai",
"cwe_ids": [
"CWE-1333"
]
}{
"cpe": "cpe:2.3:a:huggingface:transformers:*:*:*:*:*:*:*:*",
"extracted_events": [
{
"introduced": "0"
},
{
"fixed": "4.50.0"
}
],
"source": [
"CPE_RANGE",
"REFERENCES"
]
}