Hugging Face CVE-2024-11394
HIGHVulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A08:2025 - Software or Data Integrity Failures
ASVS 5.0
V1 - Encoding and Sanitization Safe deserialization, type allowlists
MITRE ATT&CK
2 techniques across 2 tactics: Execution, Initial Access The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Impact | CVSS score of 8.8 (HIGH). Attack characteristics: network attack vector, low complexity, no privileges required, user interaction required. |
| Exploit ScenarioDerived | A remote attacker could execute arbitrary code through malicious serialized objects by sending crafted requests to the affected application. No authentication is required to exploit this vulnerability. |
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Alert meAnalysisAI
Hugging Face Transformers Trax Model Deserialization of Untrusted Data Remote Code Execution Vulnerability. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, no authentication required, low attack complexity. No vendor patch available.
RemediationAI
No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Avoid deserializing untrusted data. Use safe serialization formats (JSON). Implement integrity checks and type allowlists.
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in pypi
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
This vulnerability is classified as Deserialization of Untrusted Data (CWE-502), which allows attackers to execute arbitrary code through malicious serialized objects. Hugging Face Transformers Trax 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 handling 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-25012. Affected products include: Huggingface Transformers.
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Severity by source
AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
DescriptionNVD
Hugging Face Transformers Trax 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 handling 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-25012.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Insecure deserialization occurs when an application converts serialized data (a stream of bytes representing an object's state) back into a living object without proper validation.
Remote Code Execution represents the critical moment when an attacker successfully runs arbitrary code on a target system without physical access.
Affected Products (CPE)NVD
More in Hugging Face
View allThe huggingface/transformers library is vulnerable to arbitrary code execution through deserialization of untrusted data
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Arbitrary Python code execution in LMDeploy 0.12.1 through 0.12.2 lets an attacker who publishes a malicious model on Hu
Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36. Rated high severity (CVSS
Deserialization of attacker-supplied pickle data in the deprecated pandas packaged builder of Hugging Face Datasets (all
Deserialization of Untrusted Data in GitHub repository huggingface/transformers prior to 4.36. Rated high severity (CVSS
A Regular Expression Denial of Service (ReDoS) vulnerability was discovered in the huggingface/transformers repository,
The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service (R
Path traversal in Hugging Face Datasets up to 5.0.0 allows attackers to read arbitrary local files when a victim process
Server-side request forgery in HuggingFace text-generation-inference through version 3.3.7 enables unauthenticated remot
Path traversal in Hugging Face Accelerate through 1.14.0 exposes two distinct attack outcomes when a user loads a crafte
A Regular Expression Denial of Service (ReDoS) vulnerability was identified in the huggingface/transformers library, spe
GHSA-hxxf-235m-72v3
NVD
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