CVE-2026-73325

High

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.

SeverityHigh
CVSS7.8
Exploit probability—
ProductOneCompression
PublishedAug 12, 2026
First seenAug 12, 2026

How to fix

Update
  • Fujitsu Research OneCompression1.2.1 or later

Affected products

ProductAffected versionsFixed in
Fujitsu Research OneCompressionv < 1.2.11.2.1

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