Vulnerability in Huggingface Huggingface/transformers
CVE-2025-5197
A Regular Expression Denial of Service (ReDoS) vulnerability exists in the Hugging Face Transformers library, specifically in the `convert_tf_weight_name_to_pt_weight_name()` function. This function, responsible for converting TensorFlow weight names to PyTorch format, uses a regex pattern `/[^/]*___([^/]*)/` that can be exploited to cause excessive CPU consumption through crafted input strings due to catastrophic backtracking. The vulnerability affects versions up to 4.51.3 and is fixed in version 4.53.0. This issue can lead to service disruption, resource exhaustion, and potential API service vulnerabilities, impacting model conversion processes between TensorFlow and PyTorch formats.
Vulnerability class: ReDoS (Regular Expression Denial of Service)
Published · last modified .
CVSS v3 metric
CVSS v3 base score 5.3 (Medium). Vector: CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L.
EPSS exploit prediction
EPSS: 0.004 (32.1th percentile), scored .
Very low probability of exploitation in the next 30 days; routine patching cadence is appropriate. 32nd percentile — 32.1% of CVEs in the catalogue have a lower EPSS than this one. How to read EPSS.
EPSS over last 30 days · oldest: 0.004 · newest: 0.004 · change: 0.000
Affected products
- Huggingface Huggingface/transformers — versions unspecified
- Huggingface Transformers
Weakness classification (CWE)
References
- huntr.com/bounties/3f8b3fd0-166b-46e7-b60f-60dd9d2678bf (Exploit, Patch, Third Party Advisory, Issue Tracking)
- github.com/huggingface/transformers/commit/944b56000be5e9b61af8301aa340838770ad… (Patch)
Frequently asked questions
- What is CVE-2025-5197?
- CVE-2025-5197 is a medium-severity vulnerability in Huggingface Huggingface/transformers, classified under Inefficient Regular Expression Complexity. CVSS score: 5.3/10. Published 2025-08-06.
- How severe is CVE-2025-5197?
- Medium severity. CVSS v3 base score is 5.3 out of 10.