The Linux Foundation PyTorch 2.6.0 for Python
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cpe:2.3:a:linuxfoundation:pytorch:2.6.0:-:*:*:*:python:*:*
part: a version: 2.6.0 update: -
| Vendor | Linuxfoundation (4b459c90-8cdb-5268-beb4-b69b5fe74234) |
|---|---|
| Product | Pytorch (52dd45c0-ec5b-5d93-8a94-340622257e2a) |
| Edition | * |
| Language | * |
| Software edition | * |
| Target software | python |
| Target hardware | * |
| Other | * |
| Notes | Imported from NVD CPE 2.0 feed |
PURL mappings
| PURL | Source | Last updated |
|---|---|---|
pkg:deb/debian/pytorch |
purl2cpe | 2026-06-01 10:13:22.614036 |
pkg:deb/ubuntu/pytorch |
purl2cpe | 2026-06-01 10:13:22.614037 |
pkg:docker/pytorch/pytorch |
purl2cpe | 2026-06-01 10:13:22.614039 |
pkg:github/pytorch/pytorch |
purl2cpe | 2026-06-01 10:13:22.614040 |
pkg:gitlab/gitlab-gold/pytorch |
purl2cpe | 2026-06-01 10:13:22.614041 |
pkg:sourceforge/pytorch.mirror |
purl2cpe | 2026-06-01 10:13:22.614043 |
Vulnerability references
| Identifier | cpeApplicability | Submitted | db.gcve.eu details | Rationale |
|---|---|---|---|---|
CVE:CVE-2025-3730 |
vulnerable | 2026-06-03 15:01:05.418993 |
PyTorch LossCTC.cpp torch.nn.functional.ctc_loss denial of service
LOW (3.3)
A vulnerability, which was classified as problematic, was found in PyTorch 2.6.0. Affected is the function torch.nn.functional.ctc_loss of the file aten/src/ATen/native/LossCTC.cpp. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The name of the patch is 46fc5d8e360127361211cb237d5f9eef0223e567. It is recommended to apply a patch to fix this issue. The security policy of the project warns to use unknown models which might establish malicious effects.
Published: 2025-04-16T21:00:17.836Z
Updated: 2025-05-22T21:39:19.138Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-3136 |
vulnerable | 2026-06-03 15:01:03.780321 |
PyTorch CUDACachingAllocator.cpp torch.cuda.memory.caching_allocator_delete memory corruption
LOW (3.3)
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0. This issue affects the function torch.cuda.memory.caching_allocator_delete of the file c10/cuda/CUDACachingAllocator.cpp. The manipulation leads to memory corruption. An attack has to be approached locally. The exploit has been disclosed to the public and may be used.
Published: 2025-04-03T03:31:05.598Z
Updated: 2025-04-03T13:31:31.510Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-3121 |
vulnerable | 2026-06-03 15:01:03.728532 |
PyTorch torch.jit.jit_module_from_flatbuffer memory corruption
LOW (3.3)
A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.
Published: 2025-04-02T22:00:12.390Z
Updated: 2025-04-03T19:26:25.202Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-3001 |
vulnerable | 2026-06-03 15:01:03.325656 |
PyTorch torch.lstm_cell memory corruption
MEDIUM (5.3)
A vulnerability classified as critical was found in PyTorch 2.6.0. This vulnerability affects the function torch.lstm_cell. The manipulation leads to memory corruption. The attack needs to be approached locally. The exploit has been disclosed to the public and may be used.
Published: 2025-03-31T15:31:05.008Z
Updated: 2025-03-31T18:47:18.769Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-3000 |
vulnerable | 2026-06-03 15:01:03.324955 |
PyTorch torch.jit.script memory corruption
MEDIUM (5.3)
A vulnerability classified as critical has been found in PyTorch 2.6.0. This affects the function torch.jit.script. The manipulation leads to memory corruption. It is possible to launch the attack on the local host. The exploit has been disclosed to the public and may be used.
Published: 2025-03-31T15:00:10.521Z
Updated: 2025-03-31T18:55:52.815Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-2999 |
vulnerable | 2026-06-03 15:00:26.986852 |
PyTorch torch.nn.utils.rnn.unpack_sequence memory corruption
MEDIUM (5.3)
A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
Published: 2025-03-31T14:31:04.982Z
Updated: 2025-03-31T15:15:18.302Z |
Imported from gcve-enriched-dumps CVE data |
CVE:CVE-2025-2998 |
vulnerable | 2026-06-03 15:00:26.986189 |
PyTorch torch.nn.utils.rnn.pad_packed_sequence memory corruption
MEDIUM (5.3)
A vulnerability was found in PyTorch 2.6.0. It has been declared as critical. Affected by this vulnerability is the function torch.nn.utils.rnn.pad_packed_sequence. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.
Published: 2025-03-31T14:00:12.169Z
Updated: 2025-03-31T15:27:27.537Z |
Imported from gcve-enriched-dumps CVE data |
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