Database/AI/ML frameworks & serving
Hugging Face Transformers: X-CLIP checkpoint conversion deserializes untrusted data into code execution
Impact
Converting an X-CLIP checkpoint deserializes attacker-controlled data and executes code in the converting process. The exposure is the ingest path: multimodal weights pulled from a public hub, converted on a GPU node, then published to a shared model store. Code runs with the converting user's credentials, which in many fleets means write access to the model registry every tenant then loads from. ZDI reports version 5.0.0 as affected, which is a separate code path and a separate release line from the other Transformers ids in this batch.
Who can reach it
No authentication needed against the library; the attacker supplies the checkpoint that a conversion job or engineer runs against. Execution is in the context of that process.
What to do
The record names no fixed version. Run conversions in an isolated container with no registry write access and no cluster credentials, and allowlist the checkpoint sources that ingest jobs accept. Remediation once a release lands is a pip upgrade and a restart of the affected jobs.
References
Related entries
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- Keras (`TorchModuleWrapper`): Unsafe deserialization of attacker-controlled PyTorch pickle inside a Keras modelCVE-2026-12484 · Keras (`TorchModuleWrapper`)High
This entry is curated: imported from vendor advisories with machine assistance, not yet individually verified. Confirm against your vendor's advisory before acting, and report anything wrong.