CVE-2026-73325
Fujitsu OneCompression < 1.2.1 Arbitrary Code Execution via torch.load Deserialization
- State
- Published
- Severity
- 8.4 High
- Published
- Aug 12, 2026
- Updated
- Aug 25, 2026
- Reserved
- Aug 11, 2026
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.
Scores
| CVSS | Score | Vector | Source |
|---|---|---|---|
| 4.0 | 8.4 High | CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N | VulnCheck |
| 3.1 | 7.8 High | CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H | VulnCheck |
Weaknesses
- CWE-502 Deserialization of Untrusted Data
Affected Products
| Product | Versions |
|---|---|
OneCompressionFujitsu Research |
|
References
- Maintainer SECURITY.mdvendor-advisory
- Project Repositoryproduct
- Patch Releasepatch
- https://www.vulncheck.com/advisories/fujitsu-onecompression-arbitrary-code-execution-via-torch-load-deserializationthird-party-advisory
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