Shim to easily install the OWASP dependency-check-cli tool into Python projects.
Table of Contents
dependency-check scans application dependencies and checks whether they contain any published vulnerabilities
(based on the NIST NVD).
It runs in the JVM, so you need some form of java available in your PATH.
The script should work on Linux, Mac OSX and Windows, but right now is only tested on Linux.
After installation, you'll have the dependency-check command available that, on first use,
will automatically download and install the OWASP release archive once for all projects.
It'll then redirect any calls to that installation, meaning the downloaded NVD data is shared
amongst projects.
dependency-check --disableAssembly -s . -o build --project "$(python ./setup.py --name)" \
--exclude ".git/**" --exclude ".venv/**" --exclude "**/__pycache__/**" --exclude ".tox/**" \
&& xdg-open build/dependency-check-report.html
Please see the DependencyCheck site for more configuration and usage details.
To install from PyPI, add dependency-check to your dev-requirements.txt
or a similar file. For more installation options, see the “Installation” section below.
Using environment variables, you can change the version and download location of the release archive, and the directory for the local installation.
| Variable | Default |
|---|---|
DEPENDENCY_CHECK_VERSION |
6.2.2 |
DEPENDENCY_CHECK_URL |
https://github.com/jeremylong/DependencyCheck/releases/download/v{version}/dependency-check-{version}-release.zip |
DEPENDENCY_CHECK_HOME |
~/.local/dependency-check |
DEPENDENCY_CHECK_NVD_URL |
Use NIST NVD URLs |
To update to a new version of the OWASP software,
delete ~/.local/dependency-check/bin/,
set DEPENDENCY_CHECK_VERSION to the new version number,
and call dependency-check.
The variable DEPENDENCY_CHECK_NVD_URL can be used to point to a local copy of the various NVD feeds,
in a flat hierarchy with compressed JSON files.
export DEPENDENCY_CHECK_NVD_URL='https://repo.local/nvd/nvdcve-1.1-%d.json.gz'If you set this, the options --cveUrlBase and --cveUrlModified will be added to each call.
Note that the %d representing the year is replaced by modified for the latter.
Remove the ~/.local/dependency-check/data/ directory to force a full data reload.
To just get the dependency-check CLI tool installed into your home,
independent of any project, call python3 -m pip install --user dependency-check as usual,
see releases for an overview of available versions.
If you prefer an isolated and easily removable venv installation, consider using dephell jail install dependency-check instead.
To get a bleeding-edge version from source, use these commands:
repo="jhermann/dependency-check-py" python3 -m pip install -r "https://raw.githubusercontent.com/$repo/master/requirements.txt" python3 -m pip install "https://github.com/$repo/archive/master.zip#egg=dependency-check"
As a developer, to create a working directory for this project, call these commands:
git clone "https://github.com/jhermann/dependency-check-py.git" cd "dependency-check-py" command . .env --yes --develop invoke build --docs test check
You might also need to follow some setup procedures to make the necessary basic commands available on Linux, Mac OS X, and Windows.
- openstack/bandit – Security linter designed to find common security issues in Python code, by static AST analysis.
- pyupio/safety – Safety checks your installed dependencies for known security vulnerabilities.
- pyupio/safety-db – A curated database of security vulnerabilities in Python packages.
- eliasgranderubio/dagda – Static analysis of known vulnerabilities, trojans, viruses, malware & other malicious threats in Docker images, and runtime monitoring of containers for anomalous activities.
- anchore/anchore-engine – A service for inspection, analysis and certification of container images, provided as a ready-to-deploy Docker container image.
- sonatype-nexus-community/jake – An OSS Index integration to check your Conda environments for vulnerable Open Source packages.
- vintasoftware/python-linters-and-code-analysis – Curated list of Python linters and code analysis tools.
