Exam CAS-004 topic 1 question 494 discussion

Software Composition Analysis (SCA) tools are specifically designed to scan and analyze the open-source libraries and packages used in an application. These tools identify known vulnerabilities in the components (including outdated or unpatched versions) by cross-referencing them with publicly available vulnerability databases (such as the National Vulnerability Database - NVD). Given that the issue involves a large number of open-source packages without appropriate patch management, an SCA tool is the most appropriate way to uncover vulnerabilities related to outdated or vulnerable open-source dependencies.

When you see 3rd party or open source, think software composition analysis.

Software Composition Analysis (SCA) is a methodology and set of tools designed to identify third-party and open-source components within a software codebase. SCA tools analyze the composition of software to detect outdated libraries, known vulnerabilities, and license compliance issues associated with those components. - SCA tools scan the codebase to create an inventory of all third-party libraries and dependencies used in the application. - They cross-reference identified components against databases of known vulnerabilities (e.g., CVEs) to flag any outdated or insecure libraries. - SCA can be integrated into various stages of the SDLC, such as during coding, building, or continuous integration processes. - It provides developers with immediate feedback, allowing them to update or replace insecure components before the software is released