{"uuid": "7fc1c800-5209-483d-9b99-20a6f626284f", "vulnerability_lookup_origin": "1a89b78e-f703-45f3-bb86-59eb712668bd", "author": "2a075640-a300-48a4-bb44-bc6130783b9b", "vulnerability": "CVE-2025-1194", "type": "published-proof-of-concept", "source": "https://t.me/DarkWebInformer_CVEAlerts/13802", "content": "\ud83d\udd17 DarkWebInformer.com - Cyber Threat Intelligence\n\ud83d\udccc CVE ID: CVE-2025-1194\n\ud83d\udd25 CVSS Score: 4.3 (cvssV3_0, Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L)\n\ud83d\udd39 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).\n\ud83d\udccf Published: 2025-04-29T11:30:38.810Z\n\ud83d\udccf Modified: 2025-04-29T11:30:38.810Z\n\ud83d\udd17 References:\n1. https://huntr.com/bounties/86f58dcd-683f-4adc-a735-849f51e9abb2\n2. https://github.com/huggingface/transformers/commit/92c5ca9dd70de3ade2af2eb835c96215cc50e815", "creation_timestamp": "2025-04-29T12:12:36.000000Z"}