CVE-2025-55551

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...

PYSEC-2025-198

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...

UBUNTU-CVE-2025-55551

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...

UBUNTU-CVE-2025-46153

PyTorch before 3.7.0 has a bernoullip decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallbackrandom=True...

UBUNTU-CVE-2025-46152

In PyTorch before 2.7.0, bitwiserightshift produces incorrect output for certain out-of-bounds values of the "other" argument...

UBUNTU-CVE-2025-46150

In PyTorch before 2.7.0, when torch.compile is used, FractionalMaxPool2d has inconsistent results...

UBUNTU-CVE-2025-46149

In PyTorch before 2.7.0, when inductor is used, nn.Fold has an assertion error...

UBUNTU-CVE-2025-46148

In PyTorch through 2.6.0, when eager is used, nn.PairwiseDistancep=2 produces incorrect results...

Improper Validation of Specified Quantity in Input

Overview Affected versions of this package are vulnerable to Improper Validation of Specified Quantity in Input in the ModularIndexing function when Inductor config is set to constantandindexpropagation=False. An attacker can cause incorrect computation results by supplying crafted input data...

Use of Out-of-range Pointer Offset

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Use of Out-of-range Pointer Offset via the fractionalmaxpool function in torch.nn.FractionalMaxPool2d component when used with torch.compile. An...

Use of Out-of-range Pointer Offset

Overview Affected versions of this package are vulnerable to Use of Out-of-range Pointer Offset via the fractionalmaxpool function in torch.nn.FractionalMaxPool2d component when used with torch.compile. An attacker can cause inconsistent computational results by exploiting this behavior,...

Inefficient CPU Computation

Overview Affected versions of this package are vulnerable to Inefficient CPU Computation due to inconsistent behavior in the bernoullip function when used in RNG nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d. An attacker can cause unintended or incorrect dropout behavior in neural network layers b...

Reachable Assertion

Overview Affected versions of this package are vulnerable to Reachable Assertion via the nn.Fold function when used with inductor. An attacker can cause the application to terminate unexpectedly by triggering a buffer overflow error. Remediation Upgrade pytorch/pytorch to version 2.7.0-rc1 or...

CVE-2025-55551

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...

CVE-2025-55551

CVE-2025-55551 affects PyTorch (torch.linalg.lu) and is described as an issue in PyTorch v2.8.0 where a slice operation can cause a Denial of Service. The connected IBM bulletin lists the Torch wheel (torch-2.9.1) among vulnerable dependencies, but the provided materials do not include explicit r...

CVE-2025-55551

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...

CVE-2025-55551

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...

CVE-2025-55552

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

CVE-2025-55560

CVE-2025-55560 affects PyTorch where a model using torch.Tensor.to_sparse() and torch.Tensor.to_dense() compiled by Inductor can cause a DoS. Connected advisories specify affected package versions: PyTorch < 2.0.0-11 and PyTorch

PyTorch security vulnerabilities

PyTorch is a Python package open-sourced by PyTorch. PyTorch suffers from a security vulnerability that stems from a name error when compiling a model containing torch.cummin using Inductor, which can be exploited by an attacker to cause a denial of service...