Fujitsu Research's OneCompression library 1.2.0 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.
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History
Wed, 12 Aug 2026 16:00:00 +0000
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| Description | Fujitsu Research's OneCompression library 1.2.0 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. | |
| Title | Fujitsu OneCompression 1.2.0 Arbitrary Code Execution via torch.load Deserialization | |
| Weaknesses | CWE-502 | |
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cvssV3_1
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Status: PUBLISHED
Assigner: VulnCheck
Published:
Updated: 2026-08-12T19:19:27.441Z
Reserved: 2026-08-11T21:47:14.059Z
Link: CVE-2026-73325
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Status : Received
Published: 2026-08-12T16:17:23.000
Modified: 2026-08-12T16:17:23.000
Link: CVE-2026-73325
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