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Killy85 / game_ai_trainer

This repository is home of a Machine Learning project aiming at training an agent to play a game using Reinforcement learning
Apache License 2.0
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CVE-2022-40899 (High) detected in future-0.17.1.tar.gz #420

Open mend-bolt-for-github[bot] opened 1 year ago

mend-bolt-for-github[bot] commented 1 year ago

CVE-2022-40899 - High Severity Vulnerability

Vulnerable Library - future-0.17.1.tar.gz

Clean single-source support for Python 3 and 2

Library home page: https://files.pythonhosted.org/packages/90/52/e20466b85000a181e1e144fd8305caf2cf475e2f9674e797b222f8105f5f/future-0.17.1.tar.gz

Path to dependency file: /game_ai_trainer/requirements.txt

Path to vulnerable library: /teSource-ArchiveExtractor_da03aa19-8c81-4d9c-9496-c373589d1ea2/20190506071543_44724/20190506071259_depth_0/20/future-0.17.1.tar/future-0.17.1,/requirements.txt

Dependency Hierarchy: - :x: **future-0.17.1.tar.gz** (Vulnerable Library)

Found in base branch: master

Vulnerability Details

An issue discovered in Python Charmers Future 0.18.2 and earlier allows remote attackers to cause a denial of service via crafted Set-Cookie header from malicious web server.

Publish Date: 2022-12-23

URL: CVE-2022-40899

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.

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