Regular Expression Denial of Service (ReDoS) in huggingface/transformers
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.
- Products
- Not specified
- Affected versions
- Not specified
- Fixed versions
- Not specified
- CVEs
- CVE-2025-5197
- Confirmed fixed CVEs
- Not specified
- Updated in this feed
- 4 Nov 2026, 15:31 UTC · Revision 1
Source evidence
Regular Expression Denial of Service (ReDoS) in huggingface/transformers
core-osv · Original sourcePublished 6 Aug 2025, 11:53 UTC
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.
osv:CVE-2025-5197
Complete source record
{
"id": "f56a96aed639105b8c9b293155c863511e8841a82d32993ddcd0537cae4219d9",
"url": "https://osv.dev/vulnerability/CVE-2025-5197",
"method": "structured",
"payload": {
"kind": "advisory",
"title": "Regular Expression Denial of Service (ReDoS) in huggingface/transformers",
"summary": "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.",
"evidence": "osv:CVE-2025-5197",
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"severity": "medium",
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"aliases": [
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"GHSA-9356-575x-2w9m",
"PYSEC-2026-1983"
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"metrics": [
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"score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L"
}
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"affected": [
{
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"database_specific": {
"source": "https://storage.googleapis.com/cve-osv-conversion/osv-output/CVE-2025-5197.json"
}
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],
"modified": "2026-10-28T02:30:36.906294794Z",
"provider": "osv",
"references": [
"https://huntr.com/bounties/3f8b3fd0-166b-46e7-b60f-60dd9d2678bf",
"https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/5xxx/CVE-2025-5197.json",
"https://nvd.nist.gov/vuln/detail/CVE-2025-5197",
"https://github.com/huggingface/transformers/commit/944b56000be5e9b61af8301aa340838770ad8a0b"
],
"provider_metadata": {
"cwe_ids": [
"CWE-1333"
],
"cna_assigner": "@huntr_ai",
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2025/5xxx/CVE-2025-5197.json"
}
},
"related_cves": [
{
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"evidence": "/id"
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"security_relevant": true,
"severity_evidence": "/severity/0/score"
},
"source_id": "core-osv",
"document_id": 504153,
"published_at": "2025-08-06T11:53:37.232+00:00"
}