CVE-2026-4372

Description

A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to version 5.3.0. The vulnerability allows an attacker to craft a malicious `config.json` file containing the `_attn_implementation_internal` field set to an attacker-controlled HuggingFace Hub repository ID. When a victim loads this model using the standard `AutoModelForCausalLM.from_pretrained()` API, the library downloads and executes arbitrary Python code from the attacker's repository with the victim's full OS privileges. This issue arises due to unfiltered deserialization of configuration attributes, insufficient sanitization of internal fields, and unsandboxed execution of downloaded kernels. The vulnerability bypasses the `trust_remote_code` security mechanism, is invisible to the victim, and exploits the standard documented usage pattern, making it particularly severe. Users are advised to upgrade to version 5.3.0 or later to mitigate this issue.

How to fix CVE-2026-4372

To remediate CVE-2026-4372, upgrade the affected package to a fixed version below.

• —upgrade to 5.3.0 or later

Is CVE-2026-4372 being exploited?

Low — EPSS is 0.5%, meaning exploitation activity has not been observed at scale.

Affected packages (1)

• from 0, < 5.3.0

CVSS scores

References (3)

• ADVISORYgithub.com/advisories/GHSA-29pf-2h5f-8g72
• EXPLOIThuntr.com/bounties/1f693a6e-6836-4b8b-a0bd-ca036fba8884
• PATCHgithub.com/huggingface/transformers/commit/a7f8e7ff37d87d1a1a0c8cf607971c607741452f