Manage and Activate Software Composition Analysis (SCA) Scan

Software composition refers to the use of open-source and third-party libraries within applications. Software Composition Analysis (SCA) is a core capability in Qualys TotalCloud, identifying vulnerabilities, licensing risks, and security weaknesses in open-source components and third-party libraries. It provides continuous visibility into the software supply chain to strengthen workload integrity and compliance.

By integrating SCA into Snapshot-Based Assessments, you can detect risks in open-source packages without impacting live environments, ensuring that all workloads align with secure development and deployment practices.

Benefits of SCA Scan

  • Detects vulnerabilities in open-source and third-party dependencies.
  • Improves compliance with open-source licensing and security standards.
  • Increases visibility into software packages across cloud environments.
  • Reduces exposure from outdated, unmaintained, or insecure libraries.

Set Up SCA Scan with AWS Snapshot-Based Scan

You need an existing or new AWS connector to enable SCA Scan within an AMI or Snapshot-Based Scan.

  1. Create a new AWS connector or edit an existing one.
  2. Go to the Tags and Activation section and select Enable SCA under the Enable Zero-touch Snapshot Based Scan checkbox.
    Tags and Activation section screenshot
  3. In the snapshot-based scan settings for service accounts, set the SCA parameter to Enabled. For more information about service account configuration, see Snapshot-Based Scan.
  4. Specify include directories and exclude directories to define the scope of analysis. By default, all directories are scanned.
  5. Adjust the SCA Scan Timeout (default: 120 seconds) according to workload size.
  6. Review detected open-source risks in the SCA Findings section in TotalCloud.

SCA Scan enhances software supply chain security by delivering visibility into open-source risks. Its integration with snapshot-based scanning enables accurate, non-intrusive detection across workloads and environments.