Transformers vulnerable to ReDoS attack through its get_imports() function
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the Hugging Face Transformers library, specifically in the get_imports() function within dynamic_module_utils.py. This vulnerability affects versions 4.49.0 and is fixed in version 4.51.0. The issue arises from a regular expression pattern \s*try\s*:.*?except.*?: used to filter out try/except blocks from Python code, which can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. This vulnerability can lead to remote code loading disruption, resource exhaustion in model serving, supply chain attack vectors, and development pipeline disruption.
Affected software
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| Platform | Package | Vulnerable versions | Fixed in |
|---|---|---|---|
| Python (PyPI) | transformers | < 4.51.0 | 4.51.0 |
References
- https://nvd.nist.gov/vuln/detail/CVE-2025-3264
- https://github.com/huggingface/transformers/commit/0720e206c6ba28887e4d60ef60a6a089f6c1cc76
- https://github.com/huggingface/transformers/commit/126abe3461762e5fc180e7e614391d1b4ab051ca
- https://github.com/huggingface/transformers
- https://huntr.com/bounties/3c6f7822-9992-476d-8cf0-b0b1623427df
- https://pypi.org/project/transformers
- https://github.com/advisories/GHSA-jjph-296x-mrcr
- CVSS vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L- Weakness (CWE)
CWE-1333- Platform
- Python (PyPI)
- Package
transformers- Disclosed
- 07.07.2025
- Updated
- 11.10.2026 13:19
Sources and licenses
OSV / GitHub Advisory Database - PYSEC-2026-1985 - PyPA Advisory Database; CC BY 4.0
OSV / GitHub Advisory Database - GHSA-jjph-296x-mrcr - CC BY 4.0
Vulnerability history: transformers
All published vulnerabilities of this package (Python (PyPI)), newest first. Shows whether this is a one-off slip or a package that needs watching.
- Total entries
- 32
- First → latest
- 05.2023 09.2026
- Without a fix
- 9
- Exploited in attacks
- 0
Severity breakdown
- High 18
- Medium 12
- Low 2
Disclosures per year
- 2023: 3
- 2024: 4
- 2025: 20
- 2026: 5
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Transformers vulnerable to ReDoS attack through its get_imports() function this entry
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