sbom4python 0.11.3

SBOM generator for Python modules

SBOM4Python

The SBOM4Python is a free, open source tool to generate a SBOM (Software Bill of Materials) for an installed Python module in a number of formats including SPDX and CycloneDX. It identifies all of the dependent components which are explicity defined (typically via requirements.txt file) or implicitly as a hidden dependency.

It can also be used to create a SBOM from a requirements.txt file. In this case no transitive components will be identified.

It is intended to be used as part of a continuous integration system to enable accurate records of SBOMs to be maintained and also to support subsequent audit needs to determine if a particular component (and version) has been used.

Installation

To install use the following command:

pip install sbom4python

Alternatively, just clone the repo and install dependencies using the following command:

pip install -U -r requirements.txt

The tool requires Python 3 (3.7+). It is recommended to use a virtual python environment especially if you are using different versions of python. virtualenv is a tool for setting up virtual python environments which allows you to have all the dependencies for the tool set up in a single environment, or have different environments set up for testing using different versions of Python.

Issues with Installation

If you get the following error

ImportError: failed to find libmagic. Check your installation

This is because of a mismatch with the installation of the magic library. To resolve, please issue the following commands depending on your environment

Windows

pip uninstall python-magic
pip uninstall python-magic-bin

pip install python-magic
pip install python-magic-bin

Linxu based system

Install libmagic using a package manager, for example

apt install libmagic-dev

MacOS

Install libmagic using a package manager, for example

brew install libmagic

Usage

usage: sbom4python [-h] [-m MODULE] [--system] [--exclude-license] [--include-file] [-d] [--sbom {spdx,cyclonedx}] [--format {tag,json,yaml}] [-o OUTPUT_FILE] [-g GRAPH] [-V]

SBOM4Python generates a Software Bill of Materials for the specified installed Python module identifying all of the dependent components which are explicity defined (typically via requirements.txt file)
or implicitly as a hidden dependency.

options:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit

Input:
  -m MODULE, --module MODULE
                        identity of python module
  -r REQUIREMENT, --requirement REQUIREMENT
                        name of requirements.txt file
  --system              include all installed python modules within system
  --exclude-license     suppress detecting the license of components
  --include-file        include reporting files associated with module

Output:
  -d, --debug           add debug information
  --sbom {spdx,cyclonedx}
                        specify type of sbom to generate (default: spdx)
  --format {tag,json,yaml}
                        specify format of software bill of materials (sbom) (default: tag)
  -o OUTPUT_FILE, --output-file OUTPUT_FILE
                        output filename (default: output to stdout)
  -g GRAPH, --graph GRAPH
                        filename for dependency graph

Operation

The --module option is used to identify the Python module. The --system option is used to indicate that the SBOM is to include all installed Python modules. The --requirement option is used to create an SBOM from a requirements.txt file. In this case, no transitive dependencies will be identified if this option is specified.

One of --module, --requirement or --system must be specified. If multiple options are specified, the order of priority is --module, --system and --requirement.

The --sbom option is used to specify the format of the generated SBOM (the default is SPDX). The --format option can be used to specify the formatting of the SBOM (the default is Tag Value format for a SPDX SBOM). JSON format is supported for both SPDX and CycloneDX SBOMs).

The --output-file option is used to control the destination of the output generated by the tool. The default is to report to the console but can be stored in a file (specified using --output-file option).

The tool attempts to determine the license of each module. This can be suppressed using the --exclude-license option in which case all licences are reported as 'NOASSERTION'.

The tool can optionally include the files associated with the installed module. This can be specified using the --include-file option. As the filenames are relative to the directory in which the tool is invoked, it is recommended that the tool is launched in a directory where the source files are available.

The --graph option is used to generate a dependency graph of the components within the SBOM. The format of the graph file is compatible with the DOT language used by the GraphViz application.

Licence

Licenced under the Apache 2.0 Licence.

The tool uses a local copy of the SPDX Licenses List which is released under Creative Commons Attribution 3.0 (CC-BY-3.0).

Limitations

This tool is meant to support software development and security audit functions. However the usefulness of the tool is dependent on the SBOM data which is provided to the tool. Unfortunately, the tool is unable to determine the validity or completeness of such a SBOM file; users of the tool are therefore reminded that they should assert the quality of any data which is provided to the tool.

The --requirement option will only process modules in the file which have pinned versions. Any modules which not specify a version will be ignored.

When processing and validating licenses, the application will use a set of synonyms to attempt to map some license identifiers to the correct SPDX License Identifiers. However, the user of the tool is reminded that they should assert the quality of any data which is provided by the tool particularly where the license identifier has been modified.

Whilst PURL and CPE references are automatically generated for each Python module, the accuracy of such references cannot be guaranteed as they are dependent on the validity of the data associated with the Python module.

Network access is required to populate some of the package metadata. If this is not available, a limited amount of package metadata will be included.

Feedback and Contributions

Bugs and feature requests can be made via GitHub Issues.