CVE-2026-73325: Fujitsu Research OneCompression · Deserialization of Untrusted Data
Affects Fujitsu Research OneCompressionSource CVE Database V5
Not known to be exploited · CVSS 8.4 High.
Data as of 8 Nov 2026, 23:24 UTC
- EPSS
- 0.4% chance of exploitation in 30 days – higher than 34% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:NExploitation evidence
Disclosed: evidence found.
CVE published 12 Aug 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 9 Nov 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| Fujitsu ResearchOneCompression | Affected
| Fixed in– |
PyPIonecomppkg:pypi/onecompOther threats | Affected
| Fixed in– |
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
Until a fix is available, avoid loading untrusted or unauthenticated model.pt checkpoint files with the vulnerable OneCompression 1.2.0 library. Restrict access to directories from which model files are loaded and validate or sandbox the loading process where possible.
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.
References
- pypi.org/project/onecomp/ (opens in a new tab)
- pypi.org/project/onecomp/1.2.1/ (opens in a new tab)
- vulncheck.com/advisories/fujitsu-onecompression-arbitrary-code-execution-via-torch-load-deserialization (opens in a new tab)
- github.com/FujitsuResearch/OneCompression/blob/main/SECURITY.md (opens in a new tab)