Hi! I'm a methodologist at the Asibiont platform, and today I want to tell you about a course we created with special love — "Mobile Security — Mobile App Security (iOS and Android)." If you think mobile app security is only for elite hackers in hoodies, let me dispel that myth. In fact, it's a skill that every developer, tester, or beginner cybersecurity specialist can master. And you can do it effectively and without boring theory.
Mobile apps are all around us: banking, messengers, social networks, smart devices. Behind each such app are millions of lines of code, and somewhere in that code vulnerabilities hide. According to OWASP (Open Web Application Security Project), the most critical risks for mobile apps are described in the OWASP Mobile Top 10 — issues with authentication, insecure data storage, weak communication channel protection, and others. One mistake in SSL pinning configuration or lack of obfuscation can lead to user personal data leakage or complete compromise of the server side. And such cases are becoming more frequent — just recall the high-profile incidents with leaks from banking apps. Companies eagerly hire specialists who can find and fix these problems.
The course "Mobile Security — Mobile App Security (iOS and Android)" on Asibiont is a practical immersion into the world of mobile app protection. We don't overload you with 40-minute lectures — all material is presented in text lessons generated by a neural network specifically for you. Yes, AI learning is not just a buzzword. Our neural network analyzes your level, your goals, and composes a program in real time: if you already know how HTTP works, it won't explain it for the tenth time. If you're a beginner, it gives you the basics with real-life examples. And all this without being tied to a schedule — you learn whenever convenient, from any device.
What awaits you on the course?
You will master the full mobile app pentest cycle: from information gathering and static analysis to dynamic testing and writing exploits. We start with the basics: how the mobile OS works, what security mechanisms are built in by the manufacturer, and where they fail. Then we move to tools that no mobile security specialist can do without:
- MobSF (Mobile Security Framework) — automated static and dynamic analysis. Upload APK or IPA and get a report with vulnerabilities. On the course, you'll learn not just to run MobSF, but also to interpret its results, distinguishing false positives from real problems.
- Frida — a powerful dynamic analysis tool. With it, you can intercept functions, bypass SSL pinning, alter app behavior on the fly. You will write your first scripts in JavaScript or Python and see how code injection works.
- Objection — a wrapper over Frida that simplifies routine tasks. Want to see what files the app writes to the device, or check if encryption keys are dumped? Objection does it in a couple of clicks.
- Burp Suite — classic traffic interceptor. We'll configure it for mobile apps, learn to bypass certificates, and analyze HTTP/HTTPS requests, including GraphQL and WebSockets.
- Drozer — framework for testing Android apps. It helps check exported activities, content providers, intent interception, and other attack vectors.
- APKTool, JADX, Hopper — tools for decompilation and reverse engineering. You'll learn how attackers recover an app's source code and how to protect against this with obfuscation.
Each topic is reinforced with practical tasks. The AI system generates them according to your progress: if you successfully completed a simple task, the next one will be harder. If something is unclear, the neural network rephrases the explanation or gives another analogy. For example, when we explain SSL pinning, we can compare it to checking a passport at the entrance: the app must ensure the server is who it claims to be. And Frida in this context is a fake document that deceives the checker.
Why AI learning changes the game?
Traditional courses often look like this: lectures recorded a year ago, monotonous tests, no adaptation to your pace. As a result, you either get bored or drown in unclear terms. Asibiont takes a different approach. The neural network acts as a personal methodologist:
- Content Personalization: When registering, you indicate your level (beginner, intermediate, advanced) and goals (become a pentester, learn to protect your app, prepare for an interview). AI builds the optimal path, eliminating excess and adding what's needed.
- Simple Language Explanations: Complex concepts like certificate chains, asymmetric encryption, or inter-process communication are broken down with everyday analogies. If questions remain after the first explanation, the neural network gives another version until the topic is crystal clear.
- Practice without fluff: Each lesson ends with a task that is automatically checked. You get feedback immediately: what was done correctly, where the error is, how to fix it. It's like having an experienced mentor by your side, but working 24/7.
- Up-to-date: The AI knowledge base is constantly updated based on the latest OWASP recommendations, CVE (Common Vulnerabilities and Exposures), and real-world cases. When a new version of Frida comes out or a new bypass technique is discovered, the course material adjusts without your involvement.
Research shows that personalized learning increases retention (knowledge retention) by 30-50% compared to group courses (source: Journal of Educational Psychology, 2021). And we also have no unnecessary "fluff" — only what you need.
Who will benefit most from this course?
- iOS and Android developers — you will start writing code without holes for hackers. You'll understand how to properly store tokens, encrypt data on the client, protect API keys. Many vulnerabilities arise from simple mistakes that are easy to fix if you know what to look for.
- Information security specialists — if you work in SOC, conduct web or network pentests, and want to expand your competencies to mobile platforms. Demand for mobile security engineers is growing — according to LinkedIn, the number of vacancies in this field has increased by 40% over the last two years.
- QA engineers — security testing is becoming a mandatory stage in the development cycle. By learning to use MobSF and Burp Suite, you can find critical bugs before release.
- Students and beginners — if you want to enter cybersecurity from a sought-after niche, mobile security is a great start. Tools and approaches overlap with web security, but platform specificity gives unique expertise.
What does a typical day on the course look like?
Imagine: you open your personal account on Asibiont. The neural network has already prepared a fresh lesson on the topic "Code Obfuscation with ProGuard and DexGuard." You read the explanation: why obfuscation is important, what types exist (renaming, control flow obfuscation, string encryption). Then comes an example — in code without obfuscation, it's easy to find an API key; after obfuscation, it turns into a set of characters. Immediately a task: take an APK file from the course archive, decompile it with APKTool, find sensitive strings, and try to apply ProGuard configuration. AI checks the result and says: "Great, you reduced code readability by 80%. Now try using Frida to extract strings at runtime." Gradually you move from passive defense to active testing.
Another example — the SSL pinning block. You learn what certificate pinning and public key pinning are, how to implement them on iOS (URLSession) and Android (OkHttp). Then a task: set up Burp Suite as a proxy, install your CA certificate on the emulator, and discover that the app uses pinning — traffic is not intercepted. Now AI suggests writing a Frida script to bypass it. You use a ready-made template, adapting it to the app. Success! Now you see all requests. Next — a recommendation: how to protect pinning from such bypass (additional checks, anti-fraud mechanisms).
Technical details and trusted sources
In the course, we rely on authoritative sources and standards:
- OWASP Mobile Top 10 (2024) — the main risk roadmap. Each module is tied to a specific item in this list: M1 (Improper Platform Usage), M2 (Insecure Data Storage), M3 (Insecure Communication), etc.
- OWASP Mobile Application Security Verification Standard (MASVS) — requirements for app protection levels at different degrees (L1, L2, R). We teach how to verify compliance with these standards.
- CVE Details — real vulnerabilities in popular libraries and frameworks. We analyze real-world cases: how improperly used SQLCipher led to data leakage, how weak RxBus configuration opened access to internal components.
- Tool documentation: Frida, MobSF, Objection. You'll learn to read the source code of tools to create your own modules.
Special attention is given to real attack vectors:
| Vulnerability Type | Practical Example | How to Protect |
|---|---|---|
| Insecure Data Storage | App stores password in SharedPreferences without encryption | Use EncryptedSharedPreferences or Keychain |
| Weak Server-Side Controls | API returns all users' tokens on authentication error | Implement strict server-side validation |
| Insecure Communication | SSL pinning not configured — MITM possible | Add certificate pinning in code |
| Client-Side Injection | User input passed to WebView without sanitization | Use filtering and CSP |
Each section contains practical cases — hacking a victim app (test) and then securing it. AI suggests how to automate routine tasks (e.g., write a MobSF script that searches for hardcoded keys).
Learning flexibility
All lessons are text-based — no videos that make you sleepy. Read at your own pace, return to difficult parts. AI remembers your progress and can re-explain a topic if you get stuck. Course access is 24/7 — learn from laptop, tablet, or phone. The Asibiont platform requires no additional software installation; everything works in a browser. You perform practical tasks on your machine (we provide environment setup instructions for Windows, macOS, Linux).
What will you get in the end?
Upon completing the course, you will be able to:
- Conduct a full security audit of a mobile app (iOS and Android) — from manifest analysis to binary reverse engineering.
- Write Frida and Objection scripts to bypass protections (SSL pinning, root detection, debugging).
- Set up and use MobSF, Drozer, APKTool for automated vulnerability finding.
- Test APIs for sensitive endpoints and weak spots (IDOR, insecure direct object reference).
- Recommend specific protection measures to development teams: obfuscation, encryption, secure storage, anti-tampering mechanisms.
And most importantly, you'll gain confidence that you can find vulnerabilities where others say "all clear." Our graduates (already about 500) report that after the course they were able to get jobs at large companies as AppSec Engineers or successfully pass interviews by showcasing a portfolio of found bugs (in test applications).
Start right now
Mobile security is not boring theory but a living field where new challenges arise every day. And the best way to enter it is practice with the support of a smart AI mentor. At Asibiont, we did everything to make learning fast, understandable, and engaging. Without being tied to a schedule, without fluff, with a focus on skills that the market really needs.
If you're ready to become the specialist who can protect apps from hacking — click the link. We're waiting for you!
Mobile Security — Mobile App Security (iOS and Android)
See you on the platform!
Comments