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OpenAdvisories
High · 7.8 CVE-2026-73325 EUVD-2026-57313GHSA-f3q7-jj9x-2wjr

Fujitsu OneCompression < 1.2.1 Arbitrary Code Execution via torch.load Deserialization

Published Aug 12, 2026 · Updated Aug 25, 2026 · Assigned by VulnCheck

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.

Affected products

VendorProductAffectedFixed
Fujitsu Research OneCompression < 1.2.1 1.2.1

References