What factors are contributing to the increased false positive rate in Contrast Security's Software Composition Analysis (SCA) scans during the last quarter?

Introduction

The increased false positive rate in Contrast Security's Software Composition Analysis (SCA) scans during the last quarter is a critical issue that demands immediate attention. This problem could significantly impact the reliability and effectiveness of our security scanning processes, potentially leading to wasted resources and reduced customer trust. To address this challenge, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent update to the SCA tool. Has there been any significant change to the SCA scanning engine or its rules in the past quarter?

Why it matters: Updates often introduce unintended consequences that could explain the increase in false positives. Expected answer: Yes, there was a major update to the scanning engine. Impact on approach: If confirmed, we'd focus on the changes introduced in the update.

• Considering the nature of false positives, I'm wondering about the types of vulnerabilities being flagged. Have you noticed any patterns in the false positives, such as specific types of dependencies or vulnerability categories being over-reported?

Why it matters: Identifying patterns could help pinpoint specific areas of the scanning process that need adjustment. Expected answer: There's an increase in false positives related to outdated library versions. Impact on approach: We'd investigate the library version checking mechanism and its data sources.

• Thinking about external factors, has there been any significant change in the composition or volume of codebases being scanned in the last quarter?

Why it matters: Changes in the scanned codebase could trigger new behaviors in the SCA tool. Expected answer: There's been a 20% increase in scanned repositories, with more diverse technology stacks. Impact on approach: We'd analyze how the tool handles different tech stacks and increased load.

• Considering user behavior, have there been any changes in how developers or security teams are configuring or using the SCA tool?

Why it matters: User behavior changes could inadvertently lead to increased false positives. Expected answer: No significant changes in user behavior or configuration practices. Impact on approach: We'd focus more on the tool itself rather than user-related factors.