search

vital-ws / python-monorepo

Example of scaffolding and tooling for a Python based monorepo
0 stars 0 forks source link

torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl: 4 vulnerabilities (highest severity is: 9.8) #33

Open mend-for-github-com[bot] opened 10 months ago

mend-for-github-com[bot] commented 10 months ago
Vulnerable Library - 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

Found in HEAD commit: 746ed83ebdd8ae6f3a8cc4520617776b5d61397e

Vulnerabilities

CVE Severity CVSS Dependency Type Fixed in (torch version) Remediation Possible**
CVE-2022-45907 Critical 9.8 torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl Direct 1.13.1 ❌
CVE-2024-31584 High 7.5 torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl Direct 2.2.0 ❌
CVE-2024-31583 High 7.5 torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl Direct 2.2.0 ❌
CVE-2024-31580 High 7.5 torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl Direct 2.2.0 ❌

**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation

Details

CVE-2022-45907 ### Vulnerable Library - 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

Dependency Hierarchy: - :x: **torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl** (Vulnerable Library)

Found in HEAD commit: 746ed83ebdd8ae6f3a8cc4520617776b5d61397e

Found in base branch: master

### Vulnerability Details

In PyTorch before trunk/89695, torch.jit.annotations.parse_type_line can cause arbitrary code execution because eval is used unsafely.

Publish Date: 2022-11-26

URL: CVE-2022-45907

### CVSS 3 Score Details (9.8)

Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: High - Availability Impact: High

For more information on CVSS3 Scores, click here.

### Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2022-45907

Release Date: 2022-11-26

Fix Resolution: 1.13.1

CVE-2024-31584 ### Vulnerable Library - 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

Dependency Hierarchy: - :x: **torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl** (Vulnerable Library)

Found in HEAD commit: 746ed83ebdd8ae6f3a8cc4520617776b5d61397e

Found in base branch: master

### Vulnerability Details

Pytorch before v2.2.0 has an Out-of-bounds Read vulnerability via the component torch/csrc/jit/mobile/flatbuffer_loader.cpp.

Publish Date: 2024-04-19

URL: CVE-2024-31584

### CVSS 3 Score Details (7.5)

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.

### Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2024-31584

Release Date: 2024-04-19

Fix Resolution: 2.2.0

CVE-2024-31583 ### Vulnerable Library - 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

Dependency Hierarchy: - :x: **torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl** (Vulnerable Library)

Found in HEAD commit: 746ed83ebdd8ae6f3a8cc4520617776b5d61397e

Found in base branch: master

### Vulnerability Details

Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp.

Publish Date: 2024-04-17

URL: CVE-2024-31583

### CVSS 3 Score Details (7.5)

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.

### Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2024-31583

Release Date: 2024-04-17

Fix Resolution: 2.2.0

CVE-2024-31580 ### Vulnerable Library - 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

Dependency Hierarchy: - :x: **torch-1.8.1-cp36-cp36m-manylinux1_x86_64.whl** (Vulnerable Library)

Found in HEAD commit: 746ed83ebdd8ae6f3a8cc4520617776b5d61397e

Found in base branch: master

### Vulnerability Details

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

### CVSS 3 Score Details (7.5)

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.

### Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2024-31580

Release Date: 2024-04-17

Fix Resolution: 2.2.0