The duration of SCA scanning is going to vary depending on things like the size and complexity of the application being scanned, the depth of the analysis required, and the capabilities and performance of the SCA tool being used. That last piece can be crucial and is a good reason to do a PoC or at least some trial runs of any solution you are considering.
In general, an SCA scan can take anywhere from a few seconds to several hours or even days, depending on the size of the codebase and the scope of the analysis. However, many SCA tools are designed to optimize their performance and reduce scanning times by focusing on critical vulnerabilities first, performing incremental scans, and providing parallelization capabilities.
Speed can also depend on the stage at which you're scanning. IDE scanning is generally going to be the fastest. Shared pipeline scans will take longer and full production scans are going to take the longest.
Obviously, speed is important, but fast without accuracy isn't going to do the job, so that's another aspect to keep in mind. Over time, the number of false positives should decrease as your devs learn better coding practices and you learn to configure your scanner for your particular environment.
Software Composition Analysis (SCA) is a crucial process that helps organizations identify, assess, and manage open source components within their software applications. With SCA tools, businesses can achieve several benefits, including identifying open source components, assessing security risks, ensuring compliance with licenses, and enhancing overall software quality.
The duration of SCA scanning is going to vary depending on things like the size and complexity of the application being scanned, the depth of the analysis required, and the capabilities and performance of the SCA tool being used. That last piece can be crucial and is a good reason to do a PoC or at least some trial runs of any solution you are considering.
In general, an SCA scan can take anywhere from a few seconds to several hours or even days, depending on the size of the codebase and the scope of the analysis. However, many SCA tools are designed to optimize their performance and reduce scanning times by focusing on critical vulnerabilities first, performing incremental scans, and providing parallelization capabilities.
Speed can also depend on the stage at which you're scanning. IDE scanning is generally going to be the fastest. Shared pipeline scans will take longer and full production scans are going to take the longest.
Obviously, speed is important, but fast without accuracy isn't going to do the job, so that's another aspect to keep in mind. Over time, the number of false positives should decrease as your devs learn better coding practices and you learn to configure your scanner for your particular environment.