Hate to say 'it depends', but it's true. It depends on not just what you are scanning, but also to what depth you are going.
Here are some key aspects: - Define why - Is the SCA scanning for license compliance or security compliance - If license compliance how deep do you want to go. Only license evidence or snippet matching?
And of course, the size and composition of code base. If there are archives of archives, expansions take time.
Search for a product comparison in Software Composition Analysis (SCA)
The duration of an SCA scan can vary significantly based on factors like codebase size, the number of dependencies, and the efficiency of the chosen tool. It can range from seconds to hours or even days (while seeking for snippet matching). For more accurate estimates, consider evaluating SCA tools specific to your environment and integrating automated scanning into your development workflow.
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) solutions enable organizations to identify, analyze, and manage open-source components within their software projects, ensuring compliance and reducing security risks. SCA tools are designed to detect vulnerable dependencies and licensing issues in open-source libraries. By providing detailed reports on the state of components within a software project, these tools help organizations improve their security posture and ensure license compliance. SCA...
Hate to say 'it depends', but it's true. It depends on not just what you are scanning, but also to what depth you are going.
Here are some key aspects:
- Define why - Is the SCA scanning for license compliance or security compliance
- If license compliance how deep do you want to go. Only license evidence or snippet matching?
And of course, the size and composition of code base. If there are archives of archives, expansions take time.
The duration of an SCA scan can vary significantly based on factors like codebase size, the number of dependencies, and the efficiency of the chosen tool. It can range from seconds to hours or even days (while seeking for snippet matching). For more accurate estimates, consider evaluating SCA tools specific to your environment and integrating automated scanning into your development workflow.
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.