Open mend-bolt-for-github[bot] opened 6 months ago
torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Library home page: https://files.pythonhosted.org/packages/dd/b9/824df420f6abf551e41bbaacbaa0be8321dc104f9f3803051513844dc310/torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl
Path to dependency file: /jupyter-pytorch/cuda-requirements.txt
Path to vulnerable library: /jupyter-pytorch/cuda-requirements.txt,/jupyter-pytorch/cuda-requirements.txt
Dependency Hierarchy: - :x: **torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl** (Vulnerable Library)
Library home page: https://files.pythonhosted.org/packages/94/32/96a0955e5d6ed8a837eda5ca095dd2694c4617cfa70ca599660cd5ff7447/torch-1.11.0-cp37-cp37m-manylinux1_x86_64.whl
Path to dependency file: /jupyter-pytorch-full/requirements.txt
Path to vulnerable library: /jupyter-pytorch-full/requirements.txt,/jupyter-pytorch-full/requirements.txt
Dependency Hierarchy: - :x: **torch-1.11.0-cp37-cp37m-manylinux1_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: 513157c5d3f5743d53e228da1ec8289e92c92836
Found in base branch: master
PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted input.
Publish Date: 2024-04-17
URL: CVE-2024-31580
Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
Type: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2024-31580
Release Date: 2024-04-17
Fix Resolution: 2.2.0
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CVE-2024-31580 - High Severity Vulnerability
torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Library home page: https://files.pythonhosted.org/packages/dd/b9/824df420f6abf551e41bbaacbaa0be8321dc104f9f3803051513844dc310/torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl
Path to dependency file: /jupyter-pytorch/cuda-requirements.txt
Path to vulnerable library: /jupyter-pytorch/cuda-requirements.txt,/jupyter-pytorch/cuda-requirements.txt
Dependency Hierarchy: - :x: **torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl** (Vulnerable Library)
torch-1.11.0-cp37-cp37m-manylinux1_x86_64.whl
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Library home page: https://files.pythonhosted.org/packages/94/32/96a0955e5d6ed8a837eda5ca095dd2694c4617cfa70ca599660cd5ff7447/torch-1.11.0-cp37-cp37m-manylinux1_x86_64.whl
Path to dependency file: /jupyter-pytorch-full/requirements.txt
Path to vulnerable library: /jupyter-pytorch-full/requirements.txt,/jupyter-pytorch-full/requirements.txt
Dependency Hierarchy: - :x: **torch-1.11.0-cp37-cp37m-manylinux1_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: 513157c5d3f5743d53e228da1ec8289e92c92836
Found in base branch: master
PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted input.
Publish Date: 2024-04-17
URL: CVE-2024-31580
Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: None - Integrity Impact: None - Availability Impact: High
For more information on CVSS3 Scores, click here.Type: Upgrade version
Origin: https://www.cve.org/CVERecord?id=CVE-2024-31580
Release Date: 2024-04-17
Fix Resolution: 2.2.0
Step up your Open Source Security Game with Mend here