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PyTorch is vulnerable to memory corruption through its torch.jit.script function

Publicada: 31.03.2025
Actualizado: 11.10.2026 15:17

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.

Software afectado

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Plataforma	Paquete	Versiones vulnerables	Corregida en
Python (PyPI)	torch	< 2.13.0	2.13.0

Referencias

Puntuación CVSS 5.3/10

Vector CVSS: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
Debilidad (CWE): CWE-119
Plataforma: Python (PyPI)
Paquete: torch
Publicada: 31.03.2025
Actualizado: 11.10.2026 15:17

Fuentes y licencias

OSV / GitHub Advisory Database - PYSEC-2025-194 - PyPA Advisory Database; CC BY 4.0

OSV / GitHub Advisory Database - GHSA-rrmf-rvhw-rf47 - CC BY 4.0

Historial de vulnerabilidades: torch

Todas las vulnerabilidades publicadas de este paquete (Python (PyPI)), de la más reciente a la más antigua. Muestra si es un fallo aislado o un paquete que hay que vigilar.

Todas (31) en el archivo

Entradas en total: 31
Primera → última: 11.2022 03.2026
Sin corrección: 9
Explotada en ataques: 0

Distribución por gravedad

Crítica 3
Alta 10
Media 11
Baja 5
Sin evaluar 2

Divulgaciones por año

2022: 1
2023: 0
2024: 4
2025: 24
2026: 2

22.03.2026

A vulnerability was identified in PyTorch 2.10.0. The affected element is an unknown function of the component pt2 Loading Handler. The manipulation leads to deserialization. The attack can only be pe

Alta · 7.8 CVE-2026-4538 <= 2.10.0 sin corrección
27.01.2026

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 (`.

Alta · 8.8 CVE-2026-24747 < 2.10.0 2.10.0
25.09.2025

An issue in pytorch v2.7.0 can lead to a Denial of Service (DoS) when a PyTorch model consists of torch.Tensor.to_sparse() and torch.Tensor.to_dense() and is compiled by Inductor.

Alta · 7.5 CVE-2025-55560 < 2.7.1 2.7.1
25.09.2025

A buffer overflow occurs in pytorch v2.7.0 when a PyTorch model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv() and is compiled by Inductor, leading to a

Alta · 7.5 CVE-2025-55558 < 2.7.1 2.7.1
25.09.2025

A Name Error occurs in pytorch v2.7.0 when a PyTorch model consists of torch.cummin and is compiled by Inductor, leading to a Denial of Service (DoS).

Alta · 7.5 CVE-2025-55557 < 2.7.1 2.7.1
25.09.2025

A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).

Alta · 7.5 CVE-2025-55553 < 2.7.1 2.7.1
25.09.2025

pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.

Alta · 7.5 CVE-2025-55552 < 2.9.0 2.9.0
25.09.2025

An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice operation.

Alta · 7.5 CVE-2025-55551 < 2.9.0 2.9.0
18.04.2025

PyTorch: `torch.load` with `weights_only=True` leads to remote code execution

Crítica CVE-2025-32434 < 2.6.0 2.6.0
31.03.2025

PyTorch is vulnerable to memory corruption through its torch.jit.script function esta entrada

Baja · 5.3 CVE-2025-3000 < 2.13.0 2.13.0
10.03.2025

A vulnerability was found in PyTorch 2.6.0+cu124. It has been declared as critical. Affected by this vulnerability is the function torch.ops.profiler._call_end_callbacks_on_jit_fut of the component Tu

Alta · 7.5 CVE-2025-2148 <= 2.6.0-cu124 sin corrección
29.10.2024

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.

Crítica · 9.8 CVE-2024-48063 < 2.5.0 2.5.0
17.04.2024

Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp.

Alta · 7.8 CVE-2024-31583 < 2.2.0 2.2.0
26.11.2022

In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely.

Crítica · 9.8 CVE-2022-45907 < 1.13.1 1.13.1

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