Coder Social home page Coder Social logo

security-prince / dependency-track Goto Github PK

View Code? Open in Web Editor NEW

This project forked from dependencytrack/dependency-track

0.0 2.0 0.0 19.85 MB

Dependency-Track is an intelligent Software Composition Analysis (SCA) platform that allows organizations to identify and reduce risk from the use of third-party and open source components.

Home Page: https://dependencytrack.org/

License: Apache License 2.0

Shell 0.13% Dockerfile 0.04% Java 52.76% JavaScript 45.37% CSS 1.69%

dependency-track's Introduction

Build Status Codacy BadgeAlpine License Website Documentation Slack Join the chat at https://gitter.im/dependency-track/Lobby Twitter Downloads Latest Docker Pulls

Dependency-Track

Modern applications leverage the availability of existing components for use as building blocks in application development. By using existing components, organizations can dramatically decrease time-to-market. Reusing existing components however, comes at a cost. Organizations that build on top of existing components assume risk for software they did not create. Vulnerabilities in third-party components are inherited by all applications that use those components. The OWASP Top Ten (2013 and 2017) both recognize the risk of using components with known vulnerabilities.

Dependency-Track is a Software Composition Analysis (SCA) platform that keeps track of all third-party components used in all the applications an organization creates or consumes. It integrates with multiple vulnerability databases including the National Vulnerability Database (NVD), NPM Public Advisories, Sonatype OSS Index, and VulnDB from Risk Based Security. Dependency-Track monitors all applications in its portfolio in order to proactively identify vulnerabilities in components that are placing your applications at risk. Use of Dependency-Track can play a vital role in an overall Cyber Supply Chain Risk Management (C-SCRM) program by fulfilling many of the recommendations laid out by SAFECode.

Dependency-Track is designed to be used in an automated DevOps environment where BoM (bill-of-material) formats are automatically ingested during CI/CD. Use of the Dependency-Track Jenkins Plugin is highly recommended for this purpose and is well suited for use in Jenkins Pipeline. In such an environment, Dependency-Track enables your DevOps teams to accelerate while still keeping tabs on component usage and any inherited risk.

Dependency-Track can also be used to monitor vulnerabilities in COTS (commercial off-the-shelf) software.

NOTICE: Always use official binary releases in production.

Ecosystem Overview

alt text

Features

  • Increases visibility into the use of vulnerable and outdated components
  • Flexible data model supporting an unlimited number of projects and components
  • Tracks vulnerabilities and inherited risk
    • by component
    • by project
    • across entire portfolio
  • Tracks usage of out-of-date components
  • Includes a comprehensive auditing workflow for triaging results
  • Configurable notifications supporting Slack, Microsoft Teams, Webhooks, and Email
  • Supports standardized SPDX license ID’s and tracks license use by component
  • Supports CycloneDX and SPDX bill-of-material and Dependency-Check XML
  • Easy to read metrics for components, projects, and portfolio
  • Provides a reliable mirror of the NVD data feed
  • API-first design facilitates easy integration with other systems
  • API documentation available in Swagger 2.0 (OpenAPI 3 support coming soon)
  • Supports internally managed users, Active Directory/LDAP, and API Keys
  • Simple to install and configure. Get up and running in just a few minutes

Screenshots

alt text

For more eye-candy, visit https://dependencytrack.org/.

Distributions

Dependency-Track supports the following three deployment options:

  • Docker container
  • Executable WAR
  • Conventional WAR

Deploying Docker Container

Deploying with Docker is the easiest and fastest method of getting started. No prerequisites are required other than an modern version of Docker. Dependency-Track uses the following conventions:

  • The 'latest' tag, which is pulled by default if no tag is specified, will always refer to the latest stable release (3.0.0, 3.0.1, 3.1.0, etc)
  • The 'snapshot' tag will be built and pushed on all CI changes to the master. Use this if you want a "moving target" with all the latest changes.
  • Version tags (3.0.0, 3.0.1, etc) are used to indicate each release
docker pull owasp/dependency-track
docker volume create --name dependency-track
docker run -d -p 8080:8080 --name dependency-track -v dependency-track:/data owasp/dependency-track

To run snapshot releases (not recommended for production):

docker pull owasp/dependency-track:snapshot
docker volume create --name dependency-track
docker run -d -p 8080:8080 --name dependency-track -v dependency-track:/data owasp/dependency-track:snapshot

In the event you want to delete all Dependency-Track images, containers, and volumes, the following statements may be executed. NOTE: This is a destructive operation and cannot be undone.

docker rmi owasp/dependency-track
docker rm dependency-track
docker volume rm dependency-track:/data

Deploying the Executable WAR

Another simple way to get Dependency-Track running quickly is to automatically deploy the executable WAR. This method requires Java 8u101 or higher. Simply download dependency-track-embedded.war and execute:

java -Xmx4G -jar dependency-track-embedded.war

Deploying the Conventional WAR

This is the most difficult to deploy option as it requires an already installed and configured Servlet container such as Apache Tomcat 8.5 and higher, however, it offers the most flexible deployment options. Follow the Servlet containers instructions for deploying dependency-track.war.

Compiling From Sources (optional)

To create an executable WAR that is ready to launch (recommended for most users):

mvn clean package -P embedded-jetty

To create a WAR that must be manually deployed to a modern Servlet container (i.e. Tomcat 8.5+):

mvn clean package

To create an executable WAR that is ready to be deployed in a Docker container:

mvn clean package -P embedded-jetty -Dlogback.configuration.file=src/main/docker/logback.xml

Website

The official Dependency-Track website is accessible at: https://dependencytrack.org/

Documentation

Online documentation is accessible at: https://docs.dependencytrack.org/

Community

Support

Dependency-Track is an open source project, created by people who believe that the knowledge of using vulnerable components should be accessible to anyone with a desire to know. By supporting this project, you'll allow the team to outsource testing, infrastructure, further research and development efforts, and engage in outreach to various communities that would benefit from this technology.

PayPal

Copyright & License

Dependency-Track is Copyright (c) Steve Springett. All Rights Reserved.

Permission to modify and redistribute is granted under the terms of the Apache License 2.0 license-url

Dependency-Track makes use of several other open source libraries. Please see the [NOTICES.txt] notices file for more information.

dependency-track's People

Contributors

stevespringett avatar eoftedal avatar michaelgissingnc avatar ldmara avatar jskov-jyskebank-dk avatar m1a0yu3 avatar

Watchers

James Cloos avatar Ishaq Mohammed avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.