CVE-2026-73325 PUBLISHED

Fujitsu OneCompression 1.2.0 Arbitrary Code Execution via torch.load Deserialization

Assigner: VulnCheck
Reserved: 11.08.2026 Published: 12.08.2026 Updated: 12.08.2026

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.

Metrics

CVSS Vector: 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
CVSS Score: 8.4

Product Status

Vendor Fujitsu Research
Product OneCompression
Versions Default: affected
  • affected from 0 to 1.2.0 (incl.)

Credits

  • Nir Yehoshua from Cipher Security Labs finder

References

Problem Types

  • Deserialization of Untrusted Data CWE