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-2025-46149

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

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-2025-46152

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...

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-2025-55554

pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nantonum-.long...

CVE-2025-46148

CVE-2025-46148 affects PyTorch up to version 2.6.0 when using eager execution, where nn.PairwiseDistance(p=2) can produce incorrect results. Connected entries (BIT-PYTORCH-2025-46148, NVD, OSV variants, Debian/Ubuntu OSV, CNVD) corroborate the issue with identical description. The vulnerability i...

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

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

PT-2025-39416

Name of the Vulnerable Software and Affected Versions pytorch version 2.7.0 Description A buffer overflow can occur when a PyTorch model includes torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv and is compiled using Inductor. This can lead to a Denial of Service Do...

Stack-based Buffer Overflow

Overview Affected versions of this package are vulnerable to Stack-based Buffer Overflow due to a regression in functorchmamlomniglot function in TorchBench. An attacker can cause a denial of service by triggering a buffer overflow when a PyTorch model consists of torch.nn.Conv2d,...

PyTorch 安全漏洞

PyTorch is a Python package open-sourced by PyTorch. PyTorch suffers from a security vulnerability that stems from the bitwiserightshift function mishandling the boundary value of the OTHER parameter, which can be exploited by an attacker to cause an output error...

CVE-2025-46153

CVE-2025-46153 affects PyTorch before 3.7.0, where a bernoulli_p decompos e function in decompositions.py is not fully consistent with the eager CPU implementation. This inconsistency negatively affects nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d when fallback_random=True. Connected documents pr...

CVE-2025-55557

CVE-2025-55557 : A NameError occurs in PyTorch v2.7.0 when a model uses torch.cummin and is compiled by Inductor, leading to a Denial of Service. The initial description provides the affected components and the root cause, but no public remediation or exploitation details are documented in the su...

CVE-2025-46149

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