Regular Expression Denial of Service (ReDoS) in huggingface/transformers
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| huggingface | huggingface/transformers | affected |
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No data.
| Vendor | Product | Versions |
|---|---|---|
| Huggingface | Transformers | — |
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2025-15128 | Transformers Regular Expression Denial of Service (ReDoS) vulnerability |
Github GHSA |
GHSA-fpwr-67px-3qhx | Transformers Regular Expression Denial of Service (ReDoS) vulnerability |
No CVSS v4.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.492% probability within 30 days)
| Type | Values Removed | Values Added |
|---|---|---|
| CPEs | cpe:2.3:a:huggingface:transformers:*:*:*:*:*:*:*:* | |
| Metrics |
cvssV3_1
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| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
ssvc
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| Type | Values Removed | Values 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). | |
| Title | Regular Expression Denial of Service (ReDoS) in huggingface/transformers | |
| Weaknesses | CWE-1333 | |
| References |
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| Metrics |
cvssV3_0
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