Progress announced new powerful capabilities and enhancements in the latest release of Progress® Sitefinity®.
The previous chapter in this WhiteHat Security series discussed Codebase as the first step of the Twelve-Factor App and defined a security best practice approach for ensuring a secure source control system. Considering the importance of applying security in a modern DevOps world, this next chapter examines the security component of step two of the Twelve-Factor methodology.
Start with Security and the Twelve-Factor App - Step 1
Here follows some actionable advice from the WhiteHat Security Addendum Checklist, which developers and ops engineers can follow during the SaaS build and operations stages.
Defining Dependencies in the Twelve-Factor App
All the environments in which code runs will need to have some dependencies, such as a database or an image library. The second step of the Twelve-Factor app methodology refers to the management of application dependencies, and calls for these dependencies to be explicitly declared and isolated. Apps built according to Twelve-Factor declare all dependencies completely and exactly via a dependency declaration manifest. Additionally, it uses a dependency isolation tool to make sure that no implicit dependencies ‘trickle in’ from the surrounding system. Irrespective of the tool chain, this step advocates that dependency declaration and isolation must always be used together.
The benefit it creates is a simplified setup for developers new to the app, who can examine and set up the app’s codebase onto their development machine needing only the language runtime and dependency manager installed as fundamentals.
Applying Security to Dependencies
Most modern applications consist of just 10% of built code, and up to 90% of borrowed code. Because open source is used everywhere, it’s logical that it can enter the code from everywhere and often, application security vulnerabilities come along with it. According to the National Vulnerability Database more than 5,000 new vulnerabilities are disclosed in open source software each year. And it’s these vulnerabilities that pose the biggest security risk to applications. The Department of Defense and Security says that of all recorded security threats in the U.S., 90% occurred as a result of exploits against defects in software, rather than holes in the network.
In order therefore to ensure application security, it’s important to have an understanding of what third party dependencies are in your code. Are they affected by known security vulnerabilities? Are they up-to-date and do they comply with license policies?
Software Composition Analysis (SCA) is one solution that provides in-depth visibility into the third-party and open source dependencies that have been integrated into your applications, helping you to understand potential application vulnerabilities and the overall security posture of your web and mobile applications. SCA can help you accelerate the time-to-market for applications by allowing you to safely and confidently utilize third party code, without introducing unnecessary risk.
■ Know your composition. Software composition analysis will enable you to identify third party and open source dependencies that have been integrated into your applications. Build a portfolio of dependencies consumed by your applications and where those applications are deployed. In the event a third-party dependency becomes vulnerable, you should be able to quickly identify what applications are impacted and where those applications are deployed.
■ Know your risks. Software composition analysis also provides information about license risks and can therefore help organizations reduce these risks that may be hidden in open source agreements. This extends to identifying and remediating those dependencies that may introduce security and/or legal risks. It is not uncommon for an application to contain 10 or more explicitly declared dependencies and over 40 implicitly declared dependencies, totaling 40 or more dependencies. That’s a lot of potential risk!
■ Review dependencies regularly. Now that you know what risks each of these dependencies uses, it will be easy to identify and remove those ones that conflict with business policies. Automate the extraction of composition and liabilities and enforce risk acceptance policy via integration into the build pipeline.
Considering most code is open source, and that applications are a popular attack surface, coupled with further targeted attacks on vulnerabilities in open source code, SCA is an integral part of application security, and secure DevOps. It therefore has a critical role to play in the Twelve-Factor app and for any developer using the methodology, it should be an automatic part of Factor 2’s security checklist.
Industry News
Red Hat announced the general availability of Red Hat Enterprise Linux 9.5, the latest version of the enterprise Linux platform.
Securiti announced a new solution - Security for AI Copilots in SaaS apps.
Spectro Cloud completed a $75 million Series C funding round led by Growth Equity at Goldman Sachs Alternatives with participation from existing Spectro Cloud investors.
The Cloud Native Computing Foundation® (CNCF®), which builds sustainable ecosystems for cloud native software, has announced significant momentum around cloud native training and certifications with the addition of three new project-centric certifications and a series of new Platform Engineering-specific certifications:
Red Hat announced the latest version of Red Hat OpenShift AI, its artificial intelligence (AI) and machine learning (ML) platform built on Red Hat OpenShift that enables enterprises to create and deliver AI-enabled applications at scale across the hybrid cloud.
Salesforce announced agentic lifecycle management tools to automate Agentforce testing, prototype agents in secure Sandbox environments, and transparently manage usage at scale.
OpenText™ unveiled Cloud Editions (CE) 24.4, presenting a suite of transformative advancements in Business Cloud, AI, and Technology to empower the future of AI-driven knowledge work.
Red Hat announced new capabilities and enhancements for Red Hat Developer Hub, Red Hat’s enterprise-grade developer portal based on the Backstage project.
Pegasystems announced the availability of new AI-driven legacy discovery capabilities in Pega GenAI Blueprint™ to accelerate the daunting task of modernizing legacy systems that hold organizations back.
Tricentis launched enhanced cloud capabilities for its flagship solution, Tricentis Tosca, bringing enterprise-ready end-to-end test automation to the cloud.
Rafay Systems announced new platform advancements that help enterprises and GPU cloud providers deliver developer-friendly consumption workflows for GPU infrastructure.
Apiiro introduced Code-to-Runtime, a new capability using Apiiro’s deep code analysis (DCA) technology to map software architecture and trace all types of software components including APIs, open source software (OSS), and containers to code owners while enriching it with business impact.
Zesty announced the launch of Kompass, its automated Kubernetes optimization platform.
MacStadium announced the launch of Orka Engine, the latest addition to its Orka product line.