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OpenMMLab Semantic Segmentation Toolbox and Benchmark.
https://mmsegmentation.readthedocs.io/en/latest/
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pytorch_lightning-1.4.2-py3-none-any.whl: 5 vulnerabilities (highest severity is: 9.8) #4

Open mend-bolt-for-github[bot] opened 9 months ago

mend-bolt-for-github[bot] commented 9 months ago
Vulnerable Library - pytorch_lightning-1.4.2-py3-none-any.whl

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.

Library home page: https://files.pythonhosted.org/packages/24/0e/165868360b3102a524828d1554e8d07f00e84c3ef85fed66192efb828e4b/pytorch_lightning-1.4.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Vulnerabilities

CVE Severity CVSS Dependency Type Fixed in (pytorch_lightning version) Remediation Possible**
CVE-2024-5452 Critical 9.8 pytorch_lightning-1.4.2-py3-none-any.whl Direct pytorch-lightning - 2.0.4,1.4.2,1.8.1,0.8.0,1.9.4,1.5.9,2.0.0 ❌
CVE-2022-0845 Critical 9.8 pytorch_lightning-1.4.2-py3-none-any.whl Direct 1.6.0 ❌
CVE-2021-4118 High 7.8 pytorch_lightning-1.4.2-py3-none-any.whl Direct 1.5.8 ❌
CVE-2024-34069 High 7.5 Werkzeug-2.2.3-py3-none-any.whl Transitive N/A* ❌
CVE-2023-46136 High 7.5 Werkzeug-2.2.3-py3-none-any.whl Transitive N/A* ❌

*For some transitive vulnerabilities, there is no version of direct dependency with a fix. Check the "Details" section below to see if there is a version of transitive dependency where vulnerability is fixed.

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

Details

CVE-2024-5452 ### Vulnerable Library - pytorch_lightning-1.4.2-py3-none-any.whl

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.

Library home page: https://files.pythonhosted.org/packages/24/0e/165868360b3102a524828d1554e8d07f00e84c3ef85fed66192efb828e4b/pytorch_lightning-1.4.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - :x: **pytorch_lightning-1.4.2-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Found in base branch: main

### Vulnerability Details

A remote code execution (RCE) vulnerability exists in the lightning-ai/pytorch-lightning library version 2.2.1 due to improper handling of deserialized user input and mismanagement of dunder attributes by the `deepdiff` library. The library uses `deepdiff.Delta` objects to modify application state based on frontend actions. However, it is possible to bypass the intended restrictions on modifying dunder attributes, allowing an attacker to construct a serialized delta that passes the deserializer whitelist and contains dunder attributes. When processed, this can be exploited to access other modules, classes, and instances, leading to arbitrary attribute write and total RCE on any self-hosted pytorch-lightning application in its default configuration, as the delta endpoint is enabled by default.

Publish Date: 2024-06-06

URL: CVE-2024-5452

### 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://nvd.nist.gov/vuln/detail/CVE-2024-5452

Release Date: 2024-06-06

Fix Resolution: pytorch-lightning - 2.0.4,1.4.2,1.8.1,0.8.0,1.9.4,1.5.9,2.0.0

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CVE-2022-0845 ### Vulnerable Library - pytorch_lightning-1.4.2-py3-none-any.whl

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.

Library home page: https://files.pythonhosted.org/packages/24/0e/165868360b3102a524828d1554e8d07f00e84c3ef85fed66192efb828e4b/pytorch_lightning-1.4.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - :x: **pytorch_lightning-1.4.2-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Found in base branch: main

### Vulnerability Details

Code Injection in GitHub repository pytorchlightning/pytorch-lightning prior to 1.6.0.

Publish Date: 2022-03-05

URL: CVE-2022-0845

### 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://github.com/advisories/GHSA-r5qj-cvf9-p85h

Release Date: 2022-03-05

Fix Resolution: 1.6.0

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CVE-2021-4118 ### Vulnerable Library - pytorch_lightning-1.4.2-py3-none-any.whl

PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.

Library home page: https://files.pythonhosted.org/packages/24/0e/165868360b3102a524828d1554e8d07f00e84c3ef85fed66192efb828e4b/pytorch_lightning-1.4.2-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - :x: **pytorch_lightning-1.4.2-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Found in base branch: main

### Vulnerability Details

pytorch-lightning is vulnerable to Deserialization of Untrusted Data

Publish Date: 2021-12-23

URL: CVE-2021-4118

### CVSS 3 Score Details (7.8)

Base Score Metrics: - Exploitability Metrics: - Attack Vector: Local - Attack Complexity: Low - Privileges Required: None - User Interaction: Required - 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://nvd.nist.gov/vuln/detail/CVE-2021-4118

Release Date: 2021-12-23

Fix Resolution: 1.5.8

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CVE-2024-34069 ### Vulnerable Library - Werkzeug-2.2.3-py3-none-any.whl

The comprehensive WSGI web application library.

Library home page: https://files.pythonhosted.org/packages/f6/f8/9da63c1617ae2a1dec2fbf6412f3a0cfe9d4ce029eccbda6e1e4258ca45f/Werkzeug-2.2.3-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - pytorch_lightning-1.4.2-py3-none-any.whl (Root Library) - tensorboard-2.11.2-py3-none-any.whl - :x: **Werkzeug-2.2.3-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Found in base branch: main

### Vulnerability Details

Werkzeug is a comprehensive WSGI web application library. The debugger in affected versions of Werkzeug can allow an attacker to execute code on a developer's machine under some circumstances. This requires the attacker to get the developer to interact with a domain and subdomain they control, and enter the debugger PIN, but if they are successful it allows access to the debugger even if it is only running on localhost. This also requires the attacker to guess a URL in the developer's application that will trigger the debugger. This vulnerability is fixed in 3.0.3.

Publish Date: 2024-05-06

URL: CVE-2024-34069

### CVSS 3 Score Details (7.5)

Base Score Metrics: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: High - Privileges Required: None - User Interaction: Required - 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://github.com/pallets/werkzeug/security/advisories/GHSA-2g68-c3qc-8985

Release Date: 2024-05-06

Fix Resolution: Werkzeug - 3.0.3

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CVE-2023-46136 ### Vulnerable Library - Werkzeug-2.2.3-py3-none-any.whl

The comprehensive WSGI web application library.

Library home page: https://files.pythonhosted.org/packages/f6/f8/9da63c1617ae2a1dec2fbf6412f3a0cfe9d4ce029eccbda6e1e4258ca45f/Werkzeug-2.2.3-py3-none-any.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy: - pytorch_lightning-1.4.2-py3-none-any.whl (Root Library) - tensorboard-2.11.2-py3-none-any.whl - :x: **Werkzeug-2.2.3-py3-none-any.whl** (Vulnerable Library)

Found in HEAD commit: 8e387a7262658283897e667cd3516ab139260eea

Found in base branch: main

### Vulnerability Details

Werkzeug is a comprehensive WSGI web application library. If an upload of a file that starts with CR or LF and then is followed by megabytes of data without these characters: all of these bytes are appended chunk by chunk into internal bytearray and lookup for boundary is performed on growing buffer. This allows an attacker to cause a denial of service by sending crafted multipart data to an endpoint that will parse it. The amount of CPU time required can block worker processes from handling legitimate requests. This vulnerability has been patched in version 3.0.1.

Publish Date: 2023-10-25

URL: CVE-2023-46136

### 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://github.com/pallets/werkzeug/security/advisories/GHSA-hrfv-mqp8-q5rw

Release Date: 2023-10-25

Fix Resolution: werkzeug - 2.3.8,3.0.1

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github-actions[bot] commented 7 months ago

Stale issue message