Notifications
Clear all
Topic starter
11/08/2026 3:11 pm
TL;DR: Automated SAST and DAST tools catch known CVEs and obvious coding mistakes, but they miss business logic abuse, IDOR, BOLA, certificate-pinning blind spots, and backend API flaws that drive major mobile breaches, according to Novee. Layered testing is now the practical baseline because mobile risk lives in the binary, the API, and the supply chain, not just in scan output.
NHIMG editorial — based on content published by Novee: Mobile App Testing, The Security Vulnerabilities Automated Scanners Miss
By the numbers:
- Third-party involvement now shows up in 48 percent of breaches, a 60 percent jump year over year.
Questions worth separating out
Q: What fails when mobile security teams rely only on automated scanners?
A: They miss the issues that matter most in real attacks.
Q: Why do mobile apps create identity and secret exposure risk?
A: Mobile apps often carry authentication flows, API tokens, and session material that connect directly to enterprise systems.
Q: How do teams know whether mobile testing coverage is actually working?
A: Look for explicit mapping from standards to tests, stable identifiers, and pass or fail conditions that can be replayed.
Practitioner guidance
- Separate scan coverage from control validation Use SAST and DAST for baseline detection, then require manual verification for object-level authorisation, business logic, and token handling before release.
- Instrument tests when certificate pinning blocks inspection Build a mobile assessment path that includes rooted Android or jailbroken iOS devices, or equivalent controlled instrumentation, so testers can reach the backend APIs despite pinning.
- Review shipped binaries for embedded secrets Add APK and IPA reverse engineering to your release process when mobile apps may contain hardcoded API keys, tokens, SDK credentials, or unsafe deep links.
What's in the full article
Novee's full article covers the operational detail this post intentionally leaves for the source:
- Step-by-step examples of the mobile scanner blind spots the vendor maps to real attack paths.
- Detailed walkthroughs of how manual testers use rooted devices, decompilers, and runtime instrumentation.
- The specific MASVS control areas the vendor uses to structure a complete mobile audit.
- Practical examples of how the vendor positions continuous offensive testing alongside CI/CD scanning.
👉 Read Novee's analysis of the mobile app security vulnerabilities scanners miss →
Mobile app authorization gaps: are your scanners missing the real risk?
Explore further
11/08/2026 3:26 pm
Scanner coverage is not governance coverage. Mobile programmes that rely on automated SAST and DAST tend to measure what is easy to detect, not what is most exploitable. That creates a false sense of control, especially where the real risk sits in object-level authorisation and API trust. Practitioners should treat scan output as input to validation, not as proof of security.
A question worth separating out:
Q: When should organisations add manual penetration testing to mobile release cycles?
A: Add it whenever the app changes how it authenticates, authorises, stores secrets, or calls backend APIs. Those are the moments when automation is least likely to understand the new trust boundary. Manual testing should also follow major SDK changes, deep link changes, and backend migrations.
👉 Read our full editorial: Mobile app scanners miss the authorization flaws that break APIs
