Deserialization in Hugging Face Transformers

CVE-2024-11393

Hugging Face Transformers MaskFormer 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-25191.

Vulnerability class: Insecure Deserialization

EPSS: 0.031 (86.8th percentile) — read the EPSS interpretation.

CVSS v3 metric

CVSS v3 base score 8.8 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H.

Affected products

Weakness classification (CWE)

Public proof-of-concept exploits

References

Frequently asked questions

What is CVE-2024-11393?
CVE-2024-11393 is a high-severity vulnerability in Hugging Face Transformers, classified under Deserialization of Untrusted Data. CVSS score: 8.8/10. Published 2024-11-22.
How severe is CVE-2024-11393?
High severity. CVSS v3 base score is 8.8 out of 10.
Is CVE-2024-11393 known to be exploited?
5 public proof-of-concept repositories are indexed. Not currently listed in the CISA KEV catalog.