Social engineering is no longer just a concern for cybersecurity teams—it’s a direct challenge to the entire software development lifecycle, including testing. QA teams hold a unique responsibility in unearthing vulnerabilities before they morph into security disasters. By embedding an awareness of social engineering into quality assurance practices, teams can identify risks that blend human and technical factors, ultimately fortifying the software against exploitation.
In this blog, we’ll explore practical steps QA teams can take to identify and mitigate social engineering vulnerabilities within software, plus a streamlined way to integrate these checks into everyday workflows.
What is Social Engineering in the Context of QA?
Social engineering involves exploiting human behavior to bypass security measures. While it’s often associated with phishing or impersonation, new tactics increasingly merge these psychological exploits with software vulnerabilities. For QA teams, this means user-facing services and workflows could be the entry point for malicious actors attempting to manipulate end-users or even administrative accounts.
Why QA Teams Need to Care About Social Engineering
While traditional QA processes emphasize functionality, speed, and resilience, they’re often blind to subtle, real-world attack scenarios where bad actors may exploit people instead of code. Overlooking social engineering weakens even the most technically sound applications.
Key risks of ignoring social engineering during testing:
- Phishable Flows: Login screens, password recovery, and account escalations are just a few areas where malicious actors prey on user trust.
- Unclear Permissions Boundaries: Misleading warnings or poorly defined permissions make it easier for attackers to manipulate users into sharing credentials or privileged access.
- Trust Exploits: Trust indicators like email verifications or “secure” icons can be spoofed, and QA teams must anticipate these tactics.
Practical Testing Steps to Combat Social Engineering
QA teams can—and should—expand current practices to address social engineering risks during testing. Here's how: