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sailboat-playground's Introduction

Sailboat Playground

Language: EN (incomplete) / PT-BR (completo)

A very simple framework for developing autonomous sailing algorithms and testing them with 2D simulations/visualizations.

Getting started

There are two ways to install this on your machine:

Option #1 - From GitHub repository (recommended)

Using this method, you'll be able to execute the examples as they are, with no further changes required.

  • Clone this repository
https://github.com/gabriel-milan/sailboat-playground
  • cd into the cloned repository and install it
python3 -m pip install .
  • And it's done! If you want to run the upwind example, do
python3 examples/upwind/sailing_upwind.py

Option #2 - From PyPI

This package is also available on PyPI, but you'll need to create your own environment and boat configuration files before you use it.

  • Install from PyPI:
python3 -m pip install sailboat_playground

Basic usage

This framework is split in two main modules: engine and visualization.

The engine module handles the simulation and generates files with simulation data for later debugging and visualization. The main class of the engine is the Manager class. There, you need to provide both boat and environment configuration files

Work in progress... (will write this one in PT-BR first)

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sailboat-playground's Issues

CVE-2021-33430 (Medium) detected in numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

CVE-2021-33430 - Medium Severity Vulnerability

Vulnerable Library - numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

NumPy is the fundamental package for array computing with Python.

Library home page: https://files.pythonhosted.org/packages/a5/42/560d269f604d3e186a57c21a363e77e199358d054884e61b73e405dd217c/numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Path to dependency file: /tmp/ws-scm/sailboat-playground

Path to vulnerable library: /sailboat-playground

Dependency Hierarchy:

  • ❌ numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (Vulnerable Library)

Found in base branch: master

Vulnerability Details

** DISPUTED ** A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service. NOTE: The vendor does not agree this is a vulneraility; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user.
Mend Note: After conducting further research, Mend has determined that numpy versions before 1.21.0 are vulnerable to CVE-2021-33430

Publish Date: 2021-12-17

URL: CVE-2021-33430

CVSS 3 Score Details (5.3)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Network
    • Attack Complexity: High
    • Privileges Required: Low
    • 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://nvd.nist.gov/vuln/detail/CVE-2021-33430

Release Date: 2021-12-17

Fix Resolution: numpy - 1.21.0

Step up your Open Source Security Game with Mend here

CVE-2021-33503 (High) detected in urllib3-1.26.4-py2.py3-none-any.whl

CVE-2021-33503 - High Severity Vulnerability

Vulnerable Library - urllib3-1.26.4-py2.py3-none-any.whl

HTTP library with thread-safe connection pooling, file post, and more.

Library home page: https://files.pythonhosted.org/packages/09/c6/d3e3abe5b4f4f16cf0dfc9240ab7ce10c2baa0e268989a4e3ec19e90c84e/urllib3-1.26.4-py2.py3-none-any.whl

Path to dependency file: /test_requirements.txt

Path to vulnerable library: /test_requirements.txt

Dependency Hierarchy:

  • codecov-2.1.11-py2.py3-none-any.whl (Root Library)
    • requests-2.25.1-py2.py3-none-any.whl
      • ❌ urllib3-1.26.4-py2.py3-none-any.whl (Vulnerable Library)

Found in base branch: master

Vulnerability Details

An issue was discovered in urllib3 before 1.26.5. When provided with a URL containing many @ characters in the authority component, the authority regular expression exhibits catastrophic backtracking, causing a denial of service if a URL were passed as a parameter or redirected to via an HTTP redirect.

Publish Date: 2021-06-29

URL: CVE-2021-33503

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: GHSA-q2q7-5pp4-w6pg

Release Date: 2021-06-29

Fix Resolution: urllib3 - 1.26.5

Step up your Open Source Security Game with Mend here

CVE-2021-34141 (Medium) detected in numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

CVE-2021-34141 - Medium Severity Vulnerability

Vulnerable Library - numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

NumPy is the fundamental package for array computing with Python.

Library home page: https://files.pythonhosted.org/packages/a5/42/560d269f604d3e186a57c21a363e77e199358d054884e61b73e405dd217c/numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Path to dependency file: /tmp/ws-scm/sailboat-playground

Path to vulnerable library: /sailboat-playground

Dependency Hierarchy:

  • ❌ numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (Vulnerable Library)

Found in base branch: master

Vulnerability Details

An incomplete string comparison in the numpy.core component in NumPy before 1.22.0 allows attackers to trigger slightly incorrect copying by constructing specific string objects. NOTE: the vendor states that this reported code behavior is "completely harmless."
Mend Note: After conducting further research, Mend has determined that versions 1.12.0 through 1.21.6 of numpy are vulnerable to CVE-2021-34141

Publish Date: 2021-12-17

URL: CVE-2021-34141

CVSS 3 Score Details (5.3)

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: Low

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-34141

Release Date: 2021-12-17

Fix Resolution: numpy - 1.22.0

Step up your Open Source Security Game with Mend here

CVE-2020-13091 (High) detected in pandas-0.24.2-cp27-cp27mu-manylinux1_x86_64.whl - autoclosed

CVE-2020-13091 - High Severity Vulnerability

Vulnerable Library - pandas-0.24.2-cp27-cp27mu-manylinux1_x86_64.whl

Powerful data structures for data analysis, time series, and statistics

Library home page: https://files.pythonhosted.org/packages/db/83/7d4008ffc2988066ff37f6a0bb6d7b60822367dcb36ba5e39aa7801fda54/pandas-0.24.2-cp27-cp27mu-manylinux1_x86_64.whl

Path to dependency file: sailboat-playground

Path to vulnerable library: sailboat-playground,sailboat-playground/requirements.txt

Dependency Hierarchy:

  • ❌ pandas-0.24.2-cp27-cp27mu-manylinux1_x86_64.whl (Vulnerable Library)

Found in HEAD commit: 9218b1912d81e45d94df6c0490211edcb639782e

Found in base branch: master

Vulnerability Details

** DISPUTED ** pandas through 1.0.3 can unserialize and execute commands from an untrusted file that is passed to the read_pickle() function, if reduce makes an os.system call. NOTE: third parties dispute this issue because the read_pickle() function is documented as unsafe and it is the user's responsibility to use the function in a secure manner.

Publish Date: 2020-05-15

URL: CVE-2020-13091

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.

Step up your Open Source Security Game with WhiteSource here

CVE-2021-41496 (Medium) detected in numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl - autoclosed

CVE-2021-41496 - Medium Severity Vulnerability

Vulnerable Library - numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

NumPy is the fundamental package for array computing with Python.

Library home page: https://files.pythonhosted.org/packages/a5/42/560d269f604d3e186a57c21a363e77e199358d054884e61b73e405dd217c/numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl

Path to dependency file: /tmp/ws-scm/sailboat-playground

Path to vulnerable library: /sailboat-playground

Dependency Hierarchy:

  • ❌ numpy-1.20.3-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (Vulnerable Library)

Found in base branch: master

Vulnerability Details

** DISPUTED ** Buffer overflow in the array_from_pyobj function of fortranobject.c in NumPy < 1.19, which allows attackers to conduct a Denial of Service attacks by carefully constructing an array with negative values. NOTE: The vendor does not agree this is a vulnerability; the negative dimensions can only be created by an already privileged user (or internally).
Mend Note: After conducting further research, Mend has determined that numpy versions before 1.22.0 are vulnerable to CVE-2021-41496

Publish Date: 2021-12-17

URL: CVE-2021-41496

CVSS 3 Score Details (5.5)

Base Score Metrics:

  • Exploitability Metrics:
    • Attack Vector: Local
    • Attack Complexity: Low
    • Privileges Required: Low
    • User Interaction: None
    • Scope: Unchanged
  • Impact Metrics:
    • Confidentiality Impact: None
    • Integrity Impact: None
    • Availability Impact: High

For more information on CVSS3 Scores, click here.

Step up your Open Source Security Game with Mend here

CVE-2022-23491 (High) detected in certifi-2020.12.5-py2.py3-none-any.whl

CVE-2022-23491 - High Severity Vulnerability

Vulnerable Library - certifi-2020.12.5-py2.py3-none-any.whl

Python package for providing Mozilla's CA Bundle.

Library home page: https://files.pythonhosted.org/packages/5e/a0/5f06e1e1d463903cf0c0eebeb751791119ed7a4b3737fdc9a77f1cdfb51f/certifi-2020.12.5-py2.py3-none-any.whl

Path to dependency file: /test_requirements.txt

Path to vulnerable library: /test_requirements.txt

Dependency Hierarchy:

  • codecov-2.1.11-py2.py3-none-any.whl (Root Library)
    • requests-2.25.1-py2.py3-none-any.whl
      • ❌ certifi-2020.12.5-py2.py3-none-any.whl (Vulnerable Library)

Found in base branch: master

Vulnerability Details

Certifi is a curated collection of Root Certificates for validating the trustworthiness of SSL certificates while verifying the identity of TLS hosts. Certifi 2022.12.07 removes root certificates from "TrustCor" from the root store. These are in the process of being removed from Mozilla's trust store. TrustCor's root certificates are being removed pursuant to an investigation prompted by media reporting that TrustCor's ownership also operated a business that produced spyware. Conclusions of Mozilla's investigation can be found in the linked google group discussion.

Publish Date: 2022-12-07

URL: CVE-2022-23491

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: High
    • Availability Impact: None

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2022-23491

Release Date: 2022-12-07

Fix Resolution: certifi - 2022.12.07

Step up your Open Source Security Game with Mend here

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