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.
{
"cna_assigner": "VulnCheck",
"cwe_ids": [
"CWE-502"
],
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/73xxx/CVE-2026-73325.json",
"unresolved_ranges": [
{
"extracted_events": [
{
"fixed": "1.2.1"
}
],
"source": "AFFECTED_FIELD"
},
{
"extracted_events": [
{
"fixed": "1.2.1"
}
],
"source": "DESCRIPTION"
}
]
}