TransformersApplication · Huggingface

CVE-2025-14924

HIGH · 7.8 CVSS v3.0 Published 2025-12-23
Mitigation only
No fix yet — a mitigation exists. There is no fixed release. A documented workaround reduces exposure in the meantime.
See remediation →
81/100
Remediation priority · High
No privileges

Official description Straight from the sourceThe vendor's or NVD's own wording, published unedited. Authoritative, but often terse — it says what broke, rarely what to do.

NVD · unedited
Hugging Face Transformers megatron_gpt2 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 checkpoints. 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 process. Was ZDI-CAN-27984.

Technical summary Written by usOur analysis, written from the advisory, the CVSS vector and the affected-version data. It adds context the advisory leaves out, and never invents facts that are not in the source.

dbcve analysis · high confidence

The vulnerability exists in Hugging Face Transformers' megatron_gpt2 checkpoint parsing functionality. The flaw stems from inadequate validation of user-supplied data during deserialization of model checkpoints, allowing attackers to execute arbitrary code by providing malicious checkpoint files. Exploitation requires user interaction—specifically opening or loading a crafted checkpoint file.

MitigationAvoid loading checkpoints from untrusted sources and validate checkpoint integrity before deserialization. Consider running Transformers in sandboxed or isolated environments when processing external model files.

Verify against the referenced sources before acting — the references below are authoritative for this CVE, this summary is not.

Affected products & versions What the vendor confirmedThe version ranges the vendor confirmed as vulnerable. If your version sits inside a range here, treat yourself as exposed until you have upgraded.

NVD · CPE data
TransformersApplication
Affected:= 4.55.0

CVSS breakdown How the score is builtThe industry scoring standard. It rates how the flaw is reached, what it takes to exploit, and what an attacker gains — the score is derived from those, not the other way round.

From the vector
Attack vector
Local
Complexity
Low
Privileges
None
User interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS:3.0/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Am I affected? How to checkSteps we derive from the advisory and the affected-version data, so you can decide whether this CVE reaches your setup. They are a guide, not a scan — your own configuration is the authority.

dbcve checks

Work through these to decide whether this CVE applies to you.

  1. Check installed Transformers version
    Run `pip show transformers` or `import transformers; print(transformers.__version__)`
    Affected if Version equals 4.55.0 exactly
  2. Verify megatron_gpt2 checkpoint support is available
    Check if the megatron_gpt2 module can be imported: `from transformers.models.megatron_gpt2 import` or look for megatron_gpt2 in installed transformers package
    Affected if The megatron_gpt2 checkpoint loading module is present in the installation
  3. Identify checkpoint loading usage in your code or environment
    Search codebase for calls to `from_pretrained`, `safetensors`, or checkpoint loading functions that handle megatron_gpt2 format files (search for 'megatron' or 'gpt2' checkpoint file patterns)
    Affected if Code loads megatron_gpt2 checkpoint files via Transformers
  4. Determine source of loaded checkpoints
    Audit where checkpoint files originate - check environment variables, file paths, or user-provided inputs that point to checkpoint locations
    Affected if Checkpoints are loaded from untrusted or external sources without validation

You are affected if Transformers version is exactly 4.55.0 AND your environment loads megatron_gpt2 checkpoint files, particularly from untrusted sources.

Generated from the published advisory. Verify against your own configuration.

Check your environment

Paste your version and any relevant configuration and it will be compared against the affected criteria above. Do not include secrets or credentials.

AI-assisted, checked against the advisory. Informational, not a guarantee.

Remediation Closing itWhat it takes to close this. Where a vendor fix exists we point at it; where none exists we say so plainly, and can build one. Effort estimates are scoped from the advisory, not from your codebase.

From vendor data
Mitigation available No clean upgrade yet — mitigate in the meantime
Mitigation

Avoid loading checkpoints from untrusted sources and validate checkpoint integrity before deserialization. Consider running Transformers in sandboxed or isolated environments when processing external model files.

Fix this in Transformers Scoped from the published advisory
  • Consultation6.0 h
  • Implementation12.0 h
  • Testing8.0 h
  • Review / QA4.0 h
30.0 hours of engineering $5,280
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References Go to the primary sourcePrimary sources — vendor advisories, patches and trackers. Where our summary and a reference disagree, the reference wins.

Primary sources

Practitioner notes

Contributed

Peer-ranked notes from engineers who’ve handled CVE-2025-14924 in production — separate from our analysis above.

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What this is

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