01os (=0.0.14), 21cmpsdenoiser (>=1.0.0 <=1.0.2) +24669 more potentially affected by CVE-2025-55552 via torch (>=2.0.0 <=2.8.0)

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-2025-55552 Source advisory: SNYK:PYTHON-TORCH-13052971...

Always-Incorrect Control Flow Implementation

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Always-Incorrect Control Flow Implementation when compiling model with torch.rot90 and torch.randnlike functions while...

01os (=0.0.14), 21cmpsdenoiser (>=1.0.0 <=1.0.2) +24551 more potentially affected by CVE-2025-55553 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-2025-55553 Source advisory: SNYK:PYTHON-TORCH-13052994...

Improper Validation of Syntactic Correctness of Input

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Improper Validation of Syntactic Correctness of Input in the torch.Tensor.random function when a model is compiled with Inductor. An attacker can caus...

Improper Handling of Undefined Values

Overview torch is a Tensors and Dynamic neural networks in Python with strong GPU acceleration Affected versions of this package are vulnerable to Improper Handling of Undefined Values in the torch.cummin component when compiling a model with Inductor. An attacker can cause the application to cra...

01os (=0.0.14), 21cmpsdenoiser (>=1.0.0 <=1.0.2) +24551 more potentially affected by CVE-2025-55557 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-2025-55557 Source advisory: SNYK:PYTHON-TORCH-13052977...

AZL-68100 CVE-2025-55551 affecting package pytorch 2.2.2-12

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...

01os (=0.0.14), 21cmpsdenoiser (>=1.0.0 <=1.0.2) +25839 more potentially affected by CVE-2025-55551 via torch (>=1.0.0 <=2.8.0)

torch PYPI version =1.0.0, =1.0.0, =0.1.0, =1.0.0, =0.1.0, =0.1.0, =0.1.3, =0.1.0, =0.1.0, =0.0.1, =0.0.1, =0.0.16 - a1facts =0.2.6 and more Source cves: CVE-2025-55551 Source advisory: OSV:PYSEC-2025-203...

01os (=0.0.14), 21cmpsdenoiser (>=1.0.0 <=1.0.2) +25575 more potentially affected by CVE-2025-46148 via torch (>=1.0.0 <=2.6.0)

torch PYPI version =1.0.0, =1.0.0, =0.1.0, =1.0.0, =0.1.0, =0.1.0, =0.1.3, =0.1.0, =0.1.0, =0.0.1, =0.0.1, =0.0.16 - a1facts =0.2.6 and more Source cves: CVE-2025-46148 Source advisory: OSV:PYSEC-2025-198...

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-2025-203

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...

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:...

PYSEC-2025-200

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

aait (>=0.0.4.80 <=1.0.5), accusleepy (>=0.1.0 <=0.7.1) +337 more potentially affected by CVE-2025-46152 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-2025-46150 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:...

DEBIAN-CVE-2025-46150

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

UBUNTU-CVE-2025-46150

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

Improper Validation of Specified Quantity in Input

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

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...