BIT-PYTORCH-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...

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...

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...

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-2025-55551

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...

PT-2025-39403

Name of the Vulnerable Software and Affected Versions pytorch version 2.8.0 Description An issue in the torch.linalg.lu component allows attackers to cause a Denial of Service DoS when performing a slice operation. Recommendations At the moment, there is no information about a newer version that...

PYSEC-2024-130

FPE in paddle.linalg.matrixrank in PaddlePaddle before 2.6.0. This flaw can cause a runtime crash and a denial of service...

Denial Of Service (DoS)

numpy is vulnerable to denial of service DoS. The function invocation of np.linalg.eigh on symmetric matrix with dimension not less than 32767 with data type int16 results in a crash. Note that an attacker could potentially obtain arbitrary code execution from the resulting segmentation fault...