EUVD-2026-57313
GHSA-f3q7-jj9x-2wjr
Severity by source
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/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
AV:L because malicious file must be on local filesystem; UI:R because victim must invoke the load; PR:N as no privileges needed to craft payload; S:U as no scope change per CVSS 4.0 SC/SI/SA all N.
Primary rating from Vendor (VulnCheck).
CVSS VectorVendor: VulnCheck
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/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Lifecycle Timeline
2DescriptionCVE.org
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.
Articles & Coverage 1
AnalysisAI
Arbitrary code execution in Fujitsu Research's OneCompression (onecomp) Python library 1.2.0 is triggered when a victim loads a crafted PyTorch checkpoint file via the library's QuantizedModelLoader API, which unconditionally invokes Python's pickle machinery. The root cause is the hardcoded use of torch.load with weights_only=False in load_quantized_model_pt(), allowing an attacker-supplied checkpoint to embed malicious __reduce__ methods that execute arbitrary Python - including OS commands - in the context of the loading process. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | Exploitation requires that the target environment has onecomp version 1.2.0 installed and that application code calls QuantizedModelLoader.load_quantized_model_pt() with a path that resolves to an attacker-controlled .pt checkpoint file. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 4.0 vector (AV:L/AC:L/AT:N/PR:N/UI:A/VC:H/VI:H/VA:H) scores 8.4 and accurately reflects the realistic exploitation scenario: the attacker does not need any network-level access or privileges, but the victim must actively load a malicious checkpoint file (UI:A), and the malicious file must reach the target filesystem (AV:L). … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An attacker crafts a malicious .pt checkpoint file containing a Python class with a __reduce__ method that spawns a reverse shell or exfiltrates environment variables when unpickled. The file is uploaded to a shared model repository or delivered via a compromised model source, and a victim data scientist or automated ML pipeline invokes QuantizedModelLoader.load_quantized_model_pt() pointing to the attacker-controlled path - triggering code execution in the process context with whatever privileges the loading application holds. … |
| Remediation | Upgrade the onecomp package to version 1.2.1 immediately via pip install --upgrade onecomp; this is the vendor-released patch confirmed on PyPI at https://pypi.org/project/onecomp/1.2.1/. … Detailed patch versions, workarounds, and compensating controls in full report. |
Recommended ActionAI
Within 24 hours: identify all internal systems and development environments running OneCompression 1.2.0 by scanning package manifests and container registries. …
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Same weakness CWE-502 – Deserialization of Untrusted Data
View allSame technique Deserialization
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External POC / Exploit Code
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