In traditional mobile DevSecOps, static scans and occasional penetration tests were enough. However, the latest mobile development cycles move too fast for periodic checks to keep up. The old way of doing mobile app security - running occasional pen tests and code scans - does not cut it anymore. Frequent app updates and limited testing environments for iOS/iPadOS make security testing too slow to stay effective.
Here's the harsh reality: In 2024, over 75% of mobile apps contained at least one vulnerability, and unpatched flaws contributed to 60% of data breaches. While development teams are pushing updates multiple times per week, security testing often happens only once per release cycle - if at all.
Traditional mobile app security testing often looks like this:
The result? Critical security flaws slip through and get discovered by attackers, not security teams.
An example of how traditional security testing fails with the BOM mobile app. This case shows why static analysis often misses mobile threats — particularly those triggered at runtime. Traditional methods can’t catch what they don’t execute.
What happened: Security researchers discovered a fake mobile app called BOM that successfully stole over $1.8 million in cryptocurrency from 13,000 victims. The stolen funds spanned several blockchains (e.g., Ethereum, BNB Chain, Polygon) and included assets such as Tether, Wrapped Bitcoin, and Dogecoin. BOM masqueraded as a legitimate blockchain application but was actually malware designed to steal wallet data.
How it worked: The BOM app appeared legitimate and passed typical app-store and code-review checks. Upon installation, it requested seemingly harmless permissions — like access to photos and media files. Once granted, the app scanned the device’s storage for cryptocurrency wallet data, including private keys and mnemonic phrases, and transmitted that sensitive information to remote servers controlled by the attackers. The stolen assets were then laundered through decentralized exchanges to conceal their origins.
Why traditional testing missed it: Traditional security testing focuses heavily on static code analysis and manual penetration testing before major releases. These methods inspect code and configurations but don’t simulate how an app behaves once it’s running on a device. In the case of BOM, the malicious activity only occurred during execution — after installation, when the app interacted with real user data and permissions. Static tools saw only normal code and standard Android permissions, so the true behavior went completely undetected.
The impact: The attack went unnoticed for weeks, giving the attackers time to siphon millions in cryptocurrency. Beyond the direct financial loss, it highlights a broader gap in mobile security testing: threats that only appear in live, device-level conditions. Without dynamic testing in realistic environments — where apps run with real permissions, data, and OS behaviors — organizations remain blind to the very risks attackers exploit.
Traditional security testing failed to detect this cryptocurrency theft because it only examined the app's stated permissions, not its actual runtime behavior. Corellium's MATRIX automated testing would have immediately flagged this malware during behavioral analysis. Beyond just identifying excessive permission requests, MATRIX monitors actual file system access patterns and network communications in real-time. It would have detected the app's systematic scanning of device storage for wallet files and the unauthorized transmission of sensitive data to external servers - malicious behaviors that only occur during execution, not in static code review.
Corellium's MATRIX automated testing system detects risky iOS permissions in real-time, showing how the platform identifies apps requesting excessive access to sensitive device features.
These case studies reveal a consistent pattern:
Static Analysis Blind Spots:
Periodic Testing Gaps:
Tool Integration Problems:
The solution isn't better static analysis; its approach replaces outdated methods like periodic scans with continuous runtime monitoring that adapts to modern threat patterns and catches the behavioral patterns that static analysis can't see.
Corellium MATRIX changes the mobile mobile app security completely. Instead of waiting weeks for security reports or slowing down releases for manual testing, development teams can now integrate automated mobile security testing directly into their CI/CD pipelines.
Automated Runtime Analysis: MATRIX watches apps while they're running, detecting suspicious behaviors like:
CI/CD Pipeline Integration: Security testing becomes part of every build:
Continuous Compliance Monitoring: MATRIX automatically maps findings to compliance standards:
Unlike traditional testing that happens once per release, MATRIX provides continuous monitoring:
Organizations using continuous runtime testing with MATRIX report:
The future of mobile DevSecOps isn’t about choosing between static or dynamic testing. It’s about shifting to continuous monitoring vs static scans — with runtime visibility built in.”
The documented evidence is clear: BOM malware, SparkCat infiltration, and preinstalled app vulnerabilities all demonstrate that static analysis and periodic testing miss the behavioral vulnerabilities that actually get exploited.
Traditional Approach:
MATRIX Approach:
The old DevSecOps model of periodic security checkpoints doesn't work for modern mobile development. When teams are shipping multiple updates per week, security testing needs to happen continuously, not occasionally.
Corellium MATRIX makes this possible by automating runtime security testing that integrates directly into CI/CD pipelines. Instead of slowing down development, it accelerates it by catching vulnerabilities early when they're cheap to fix.
The choice is simple: continue with periodic testing and keep discovering vulnerabilities in production or adopt continuous runtime testing and catch them during development.
The threat landscape isn't waiting for security teams to catch up. Neither should your DevSecOps strategy.