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Arvos Utility Tool

AI and Risk-based Vulnerability Management for Trustworthy Open Source Adoption

Requirements

  1. Python >= 3.9 and pip installed

  2. Docker installed

  3. Debugfs mounted ( sudo mount -t debugfs debugfs /sys/kernel/debug )

  4. Linux kernel headers ( If not installed already )
    • Ubuntu/Debian : apt-get install -y linux-headers-$(uname -r)

    • CentOs : yum install -y kernel-devel

    • Fedora : dnf install -y kernel-devel

How to install

$ pip install arvos
$ arvos --help

Usage

Demo usage :

$ arvos --demo

The following command will build a Java application image ( based on jdk 17 ) from the specified jar, run it, and start the tracer app for a period of 2 minutes.

$ arvos scan --java 17 --jar target/application.jar --trace-period 2 --save-report pdf --pom pom.xml

A .pdf report will be saved under your $HOME/arvos-reports folder.

Output

demo.svg

Supported platforms

Linux only.

Metadata

Release files for arvos 3.0.12

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distribution (wheel)

Table of built distributions (wheels) for arvos 3.0.12
File Interpreter ABI Platform
arvos-3.0.12-py2.py3-none-any.whl Python 3, Python 2 none any Details

Release files / arvos-3.0.12-py2.py3-none-any.whl

Download URL arvos-3.0.12-py2.py3-none-any.whl
Size 6.6 kB
Tags Python 2 Python 3
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Uploaded via twine/4.0.0 CPython/3.9.11

Security for arvos 3.0.12

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