Onecompression
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cpe:2.3:a:fujitsu_research:onecompression:*:*:*:*:*:*:*:*part: a version: * update: *
| Vendor | Fujitsu Research (93bda5d5-334e-564a-ac7c-c291bca0acb0) |
|---|---|
| Product | Onecompression (7308eb15-c72d-577a-a2db-49790a6edace) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | * |
| Target hardware | * |
| Other | * |
Notes
Imported from gcve-enriched-dumps CVE data
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
| No PURL mappings for this CPE yet. | ||
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2026-73325 |
vulnerable | 2026-09-16 04:33:10.215336 |
Fujitsu OneCompression < 1.2.1 Arbitrary Code Execution via torch.load Deserialization
HIGH (7.8)
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.
Published: 2026-08-12T15:35:51.299Z
Updated: 2026-08-25T01:15:34.892Z |
Imported from gcve-enriched-dumps CVE data |
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