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CVE-2024-11392VulnerabilityPublished Updated

CVE-2024-11392: Hugging Face Transformers · Deserialization of Untrusted Data

Affects Hugging Face TransformersSource CVE Database V5

0

Not known to be exploited · public exploit available (Exploit-DB) · CVSS 7.5 High.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.0 base score
7.5High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
7.2% chance of exploitation in 30 days – higher than 94% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.0/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H

Exploitation evidence

t = 0 is the CVE’s publication on cve.org

  1. Disclosed: evidence found.

    CVE published 22 Nov 2024

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  4. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

Timeline

  1. CVE ID reserved

    by zdi

    , 4 days before disclosure

  2. CVE published

    on cve.org

    , t = 0

  3. First Exploit-DB entry (opens in a new tab)

    Hugging Face Transformers MobileViTV2 4.41.1 - Remote Code Execution (RCE)

    , 145 days after disclosure

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.

What to do

AI-suggested

1. Immediately audit and restrict the sources of configuration files and other inputs processed by Hugging Face Transformers to trusted origins only. 2. Implement strict input validation and sanitization for all user-supplied data before deserialization. 3. Employ application-level sandboxing or containerization to limit the impact of potential code execution. 4. Monitor systems for unusual activity indicative of exploitation attempts, such as unexpected process spawning or network connections. 5. Educate users about the risks of opening files or visiting links from untrusted sources, especially in environments using the vulnerable library. 6. Track updates from Hugging Face for official patches or security advisories and apply them promptly once available. 7. Consider using runtime application self-protection (RASP) or endpoint detection and response (EDR) tools to detect and block exploitation attempts. 8. Review and harden access controls around AI/ML infrastructure to minimize the privileges of processes running the Transformers library.

Description

Hugging Face Transformers MobileViTV2 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 handling of configuration 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-24322.

References

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