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cpe:2.3:a:huggingface:transformers:4.54.1:*:*:*:*:*:*:*

part: a version: 4.54.1 update: *

VendorHuggingface (99e96d05-83c7-5fa6-87a0-b60fade6cd99)
ProductTransformers (b4ce00f1-117d-532e-8476-9985a60eef6e)
Edition*
Language*
Software edition*
Target software*
Target hardware*
Other*
NotesImported from NVD CPE 2.0 feed

PURL mappings

PURLSourceLast updated
pkg:github/huggingface/transformers purl2cpe 2026-06-01 10:17:04.507209
pkg:pypi/transformers purl2cpe 2026-06-01 10:17:04.507211

Vulnerability references

IdentifiercpeApplicabilitySubmitteddb.gcve.eu detailsRationale
CVE:CVE-2025-14921 vulnerable 2026-06-08 07:06:35.370170 Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability
HIGH (7.8)
Hugging Face Transformers Transformer-XL Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-25424.
Published: 2025-12-23T21:04:23.187Z
Updated: 2025-12-24T16:25:13.340Z
Reference links
Imported from gcve-enriched-dumps CVE data
CVE:CVE-2025-14920 vulnerable 2026-06-08 07:06:35.369684 Hugging Face Transformers Perceiver Model Deserialization of Untrusted Data Remote Code Execution Vulnerability
HIGH (7.8)
Hugging Face Transformers Perceiver Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of Hugging Face Transformers. User interaction is required to exploit this vulnerability in that the target must visit a malicious page or open a malicious file. The specific flaw exists within the parsing of model files. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of the current user. Was ZDI-CAN-25423.
Published: 2025-12-23T21:04:36.809Z
Updated: 2025-12-24T16:29:05.697Z
Reference links
Imported from gcve-enriched-dumps CVE data

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