aait (>=0.0.4.80 <=1.0.5), accusleepy (>=0.1.0 <=0.7.1) +337 more potentially affected by CVE-2025-46150 via torch (=2.6.0)

torch PYPI version =2.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on torch and may be impacted: - aait =0.0.4.80, =0.1.0, =1.0.0.3, =0.1.0, =0.8.4, =0.1.47, =3.1.8, =0.1.3, =2.0.3, =0.3.8.2, =0.2.2, =0.2.4 - archgw =0.3.17 and more Source cves:...

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 torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration 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...

aait (>=0.0.4.80 <=1.0.5), accusleepy (>=0.1.0 <=0.7.1) +337 more potentially affected by CVE-2025-46153 via torch (=2.6.0)

torch PYPI version =2.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on torch and may be impacted: - aait =0.0.4.80, =0.1.0, =1.0.0.3, =0.1.0, =0.8.4, =0.1.47, =3.1.8, =0.1.3, =2.0.3, =0.3.8.2, =0.2.2, =0.2.4 - archgw =0.3.17 and more Source cves:...

aait (>=0.0.4.80 <=1.0.5), accusleepy (>=0.1.0 <=0.7.1) +337 more potentially affected by CVE-2025-46149 via torch (=2.6.0)

torch PYPI version =2.6.0 is affected by a known vulnerability. The following packages have a transitive dependency on torch and may be impacted: - aait =0.0.4.80, =0.1.0, =1.0.0.3, =0.1.0, =0.8.4, =0.1.47, =3.1.8, =0.1.3, =2.0.3, =0.3.8.2, =0.2.2, =0.2.4 - archgw =0.3.17 and more Source cves:...

Reachable Assertion

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration 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...

Reachable Assertion

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Reachable Assertion in the torch.linalg.lu function. In AOTAutograd mode LU decomposition can't accept slice operation and An attacker can cause the...

CVE-2025-46150

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

PT-2025-39415

Name of the Vulnerable Software and Affected Versions pytorch version 2.7.0 Description A Name Error occurs when a PyTorch model includes torch.cummin and is compiled by Inductor, resulting in a Denial of Service DoS. The issue involves a naming conflict during the compilation process, leading to...

Incorrect Bitwise Shift of Integer

Overview Affected versions of this package are vulnerable to Incorrect Bitwise Shift of Integer in the torch.bitwiserightshift function. An attacker can modify data integrity by leveraging local access with low privileges even if config.fallbackrandom is set to True. Remediation Upgrade...

CVE-2025-55554

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

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-2025-46150

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

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...

Reachable Assertion

Overview Affected versions of this package are vulnerable to Reachable Assertion in the torch.linalg.lu function. In AOTAutograd mode LU decomposition can't accept slice operation and An attacker can cause the application to become unresponsive or crash if backend="aoteager" by providing speciall...

CVE-2025-46150

CVE-2025-46150 is referenced in connected IBM bulletin as affecting PyTorch: prior to 2.7.0, using torch.compile can cause FractionalMaxPool2d to produce inconsistent results. The IBM document lists the CVE entry and its description but provides no technical details on root cause, vulnerable vers...

01os (=0.0.14), 21cmpsdenoiser (>=1.0.0 <=1.0.2) +24551 more potentially affected by CVE-2025-55558 via torch (>=2.0.0 <=2.7.1)

torch PYPI version =2.0.0, =1.0.0, =0.1.0, =0.1.3, =0.1.0, =0.1.0, =0.0.1, =0.0.1, =0.10.5, =0.1.0.dev1, =1.0.0, =1.2.0 and more Source cves: CVE-2025-55558 Source advisory: SNYK:PYTHON-TORCH-13052818...

01os (=0.0.14), 21cmpsdenoiser (>=1.0.0 <=1.0.2) +24551 more potentially affected by CVE-2025-55560 via torch (>=2.0.0 <=2.7.1)

torch PYPI version =2.0.0, =1.0.0, =0.1.0, =0.1.3, =0.1.0, =0.1.0, =0.0.1, =0.0.1, =0.10.5, =0.1.0.dev1, =1.0.0, =1.2.0 and more Source cves: CVE-2025-55560 Source advisory: SNYK:PYTHON-TORCH-13052821...

Reachable Assertion

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Reachable Assertion when the model consists of torch.nn.Conv2d, torch.nn.functional.hardshrink, and torch.Tensor.view-torch.mv and compiled with...

Stack-based Buffer Overflow

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration 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 triggeri...