CVE-2026-73325

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.

CVSS v3 7.8 HIGH

7.8^/10

CVSS v3 : HIGH

Vector :

Exploitability : 1.8 / Impact : 5.9

Attack Vector LOCAL

Attack Complexity LOW

Privileges Required NONE

User Interaction REQUIRED

Confidentiality Impact HIGH

Integrity Impact HIGH

Availability Impact HIGH

Scope UNCHANGED

References

Link	Resource
https://pypi.org/project/onecomp/
https://pypi.org/project/onecomp/1.2.1/
https://www.vulncheck.com/advisories/fujitsu-onecompression-arbitrary-code-execution-via-torch-load-deserialization

Configurations

No configuration.

History

12 Aug 2026, 16:17

Type	Values Removed	Values Added
New CVE

Information

Published : 2026-08-12 16:17

Updated : 2026-08-12 20:17

NVD link : CVE-2026-73325

Mitre link : CVE-2026-73325

CVE.ORG link : CVE-2026-73325

JSON object : View

Products Affected

No product.

CWE

CWE-502

Deserialization of Untrusted Data

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