Top 8 Software Composition Analysis (SCA) Tools
Sonatype Nexus LifecycleSnykWhiteSourceGitLabFOSSABlack DuckVeracode Software Composition AnalysisJFrog Xray
Its engine itself is most valuable in terms of the way it calculates and decides whether a security vulnerability exists or not. That's the most important thing. Its security is also pretty good, and its listing about the severities is also good.
There are many valuable features. For example, the way the scanning feature works. The integration is cool because I can integrate it and I don't need to wait until the CACD, I can plug it in to our local ID, and there I can do the scanning. That is the part I like best.
The results and the dashboard they provide are good.
The solution boasts a broad range of features and covers much of what an ideal SCA tool should.
We like that we can have an all-encompassing product and don't have to implement different solutions.
GitLab is very useful for pipelines, continuous integration, and continuous deployment. It is also stable.
One of the things that I really like about FOSSA is that it allows you to go very granular. For example, if there's a package that's been flagged because it's subject to a license that may be conflicts with or raises a concern with one of the policies that I've set, then FOSSA enables you to go really granular into that package to see which aspects of the package are subject to which licenses. We can ultimately determine with our engineering teams if we really need this part of the package or not. If it's raising this flag, we can make really actionable decisions at a very micro level to enable the build to keep pushing forward.
Black Duck is pretty extensive in terms of the scan reserves and the vulnerability exposures. From that perspective, I'm happy with it.
The installation is very easy.
Considering that in my project, we are mostly using Software Composition Analysis as a part of Static Code Analysis, for me, the main part is reporting and highlighting necessary vulnerabilities. Veracode platform has a rather good database of different vulnerabilities in different libraries and different sources. So, finding vulnerabilities in third-party libraries is the main feature of Software Composition Analysis that we use. It is the most important feature for us.
Good reporting functionalities.
How does software composition analysis work?
SCA tools inspect source code, package managers, binary files, manifest files, and container images, among other things. They then compile the identified open source into a bill of materials (BOM). The BOM gets compared against a variety of databases, one of which is the U.S. government’s National Vulnerability Database (NVD), to analyze overall code quality and to discover any licenses associated with the code. The databases contain information regarding common and known vulnerabilities, and by comparing the BOM against them, a security team can identify critical legal or security vulnerabilities which they can then go on to fix.
Why is software composition analysis important?
More than 90% of any code base comes from an external supplier. That means that your development team actually codes less than 10% of any app it builds. Due to the sheer amount of open source code out there, it is no longer possible for humans to track it manually. Development is also happening faster than ever and security solutions need to be able to keep up. SCA helps you to understand what components and versions of open source are being used, to identify what security vulnerabilities affect those components, and to figure out how to remediate them.
SCA offers speed, security, and reliability, which are all essential factors in application security testing.
What are the benefits of software composition analysis?
The benefits of SCA include:
- Automatic tracking of open source components, ensuring visibility into all kinds of possible vulnerabilities that cannot be found by other methods.
- Provides a full accounting of the open source being used.
- Continuous monitoring for new vulnerabilities.
4. Automated and prioritized vulnerabilities management and remediation.
5. License risk management, which helps you to lower the risks associated with compliance and licenses.
What is an SCA tool?
SCA (software composition analysis) is a segment of the AST (application security testing) tool market. SCA tools automatically scan an app’s code base, as well as related containers and registries, in order to identify any open source components and their security vulnerabilities as well as their license compliance data. They then find components with known, documented vulnerabilities and advise if the components need to be updated or have patches available. In addition to just providing visibility, some SCA tools also help to remediate open source vulnerabilities. SCA tools can discover all related components, their supporting libraries, and their direct and indirect dependencies. The scanning process generates a BOM (bill of materials), which provides an inventory of all of the project’s software assets. The tracking of open source components used by your apps is critical from both a productivity standpoint and a security standpoint.
As opposed to other application security tools, SCA tools allow the secure risk management of open source software use throughout the software supply chain.
What is SCA testing?
SCA (software composition analysis) testing is a kind of application security testing (AST). The purpose of AST is to identify vulnerabilities in source code and security weaknesses in order to make applications more secure. SCA is a new technology that scans applications to identify components of open source code. In addition to security, SCA also evaluates code quality and license compliance.