CVE-2026-73325
Description
Fujitsu Research's OneCompression library before 1.2.1 contains an unsafe deserialization vulnerability that allows attackers to execute arbitrary code by supplying a crafted model.pt checkpoint file, as QuantizedModelLoader.load_quantized_model_pt() unconditionally calls torch.load with weights_only=False, invoking Python's pickle machinery during deserialization. Attackers can embed malicious __reduce__ methods in a crafted model checkpoint to execute arbitrary Python code, including system commands, when the library loads the file from a caller-selected model directory.
How to fix
- Fujitsu Research OneCompression1.2.1 or later
Affected products
| Product | Affected versions | Fixed in |
|---|---|---|
| Fujitsu Research OneCompression | v < 1.2.1 | 1.2.1 |
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