Approved changes feed: RSS · Atom
cpe:2.3:a:pytorch:pytorch:*:*:*:*:*:*:*:*
part: a version: * update: *
| Vendor | Pytorch (8d5d64cc-27cd-5f2c-92b2-bd0f62ea97c3) |
|---|---|
| Product | Pytorch (0347c4b9-aa2b-5e5d-aff7-d8378b011d6e) |
| 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-2026-24747 |
vulnerable | 2026-06-08 07:51:18.110160 |
PyTorch Vulnerable to Remote Code Execution via Untrusted Checkpoint Files
HIGH (8.8)
PyTorch is a Python package that provides tensor computation. Prior to version 2.10.0, a vulnerability in PyTorch's `weights_only` unpickler allows an attacker to craft a malicious checkpoint file (`.pth`) that, when loaded with `torch.load(..., weights_only=True)`, can corrupt memory and potentially lead to arbitrary code execution. Version 2.10.0 fixes the issue.
Published: 2026-01-27T21:13:46.878Z
Updated: 2026-07-15T01:17:00.817Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-32434 |
vulnerable | 2026-06-08 07:18:59.789620 |
PyTorch: `torch.load` with `weights_only=True` leads to remote code execution
PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.
Published: 2025-04-18T15:48:18.851Z
Updated: 2025-12-01T07:05:28.923Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2024-48063 |
vulnerable | 2026-06-08 06:48:13.598878 |
Details available
In PyTorch <=2.4.1, the RemoteModule has Deserialization RCE. NOTE: this is disputed by multiple parties because this is intended behavior in PyTorch distributed computing.
Published: 2024-10-29T00:00:00.000Z
Updated: 2025-01-09T17:22:47.091Z Reference links
|
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2024-31580 |
vulnerable | 2026-06-08 06:35:31.983641 |
Details available
PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted input.
Published: 2024-04-17T00:00:00.000Z
Updated: 2025-03-28T23:47:41.729Z |
Imported from gcve-enriched-dumps CVE data |
Contribute
You can submit an edit proposal for this CPE entry or suggest a related product/vendor addition using the action button above.