Training
Advanced Android & iOS Hands-on Exploitation
Format
Structured self-paced online program with recorded lessons, hands-on labs, and live office hours
Start
Rolling enrollment with immediate access
Recommended pace
Most students finish in 5 weeks or 10 weeks
Best fit
Mobile pentesters, AppSec teams, and researchers working across Android, iOS, and cross-platform stacks
Prerequisites
Technical comfort with mobile platforms; no prior mobile security experience required
Private team delivery
Available as a 3-day or 5-day remote or on-site intensive for mobile security teams
The problem with most mobile security work
Most mobile security work follows a familiar pattern: set up the environment, run the tools, hook a few methods, inspect storage, bypass the obvious protections, and report what the workflow turns up.
That works for surface-level issues, insecure storage, weak transport protections, exposed components, missing platform controls, and common implementation mistakes.
It works far less well for architectural vulnerabilities.
The flaws that matter most emerge from how trust moves through the system: how deep links dispatch into internal handlers, how WebViews inherit native capability, how cross-platform bridges translate application logic into platform behavior, how local state and backend assumptions combine into exploitable conditions.
Modern mobile systems are not just apps. They are compositions of mobile code, platform primitives, bridge layers, local trust decisions, and backend interactions.
The vulnerabilities that survive a standard assessment are usually the ones that live in those compositions and the standard workflow does not surface them because it was never designed to look there.
What's missing is not another tool or another checklist. What's missing is a methodology for reasoning about mobile systems.
What this training teaches
01
Model the mobile system before you test it.
Make the architecture explicit enough to reason about: deep-link dispatch, WebViews, bridge layers, local trust state, backend interactions, and the flows that connect them.
02
Define what must hold for the system to be secure.
Express concrete security properties for the actual app in front of you, not generic checklist items, but claims you can observe, challenge, and verify.
03
Generate attack hypotheses from the structure.
Use the model to identify where trust can break: routing logic, cross-platform bridges, client-side state, embedded content, session handling, or backend assumptions.
04
Test those hypotheses through controlled runtime work.
Instrument the app, compare baseline and attack paths, and observe whether the system actually enforces the property it claims to enforce.
05
Turn observations into evidence-backed findings.
Turn runtime observations into findings that are explainable, reproducible, and defensible under real engineering scrutiny.
What you work on
- Android and iOS application analysis including static triage, manifest and entitlement review, and code structure decomposition
- Runtime instrumentation with Frida, Objection, and platform-native debugging including hooking, tracing, and runtime manipulation
- Deep links, app links, universal links, and routing trust across navigation and dispatch surfaces
- WebViews, JavaScript interfaces, and embedded content risk including capability exposure and trust inheritance
- React Native, Flutter, and hybrid/native boundary analysis including bridge serialization, type assumptions, and cross-boundary authorization
- Local storage, Keychain, session state, device trust, and client-side assumptions that shape server-side behavior
- API and backend interactions where mobile trust decisions meet server-side enforcement
- World models, invariants, explorations, and findings applied to real applications rather than toy exercises
Why this matters now
Mobile complexity has shifted. Modern mobile systems rely on cross-platform frameworks, embedded web content, shared business logic, backend-driven state, device trust signals, and layered runtime controls.
That is where checklist-driven testing thins out.
AI will make parts of mobile assessment easier. What it does not replace is architectural judgment: deciding which properties matter, which trust boundaries are real, and whether the evidence actually demonstrates a meaningful violation.
What this produces
Most mobile assessments produce findings. This program teaches you to produce understanding.
The output is not just a list of issues, but a world model of the application, a set of explicit security properties, a collection of tested scenarios, and findings that are traceable to experiments and evidence.
The result is work that stands up under engineering and security scrutiny. You can explain not just what failed, but what the system was supposed to guarantee, how that guarantee was tested, and where the observed behavior broke.
That makes mobile assessment more repeatable, more defensible, and less dependent on individual instinct alone.
How the learning works
This is a structured guided program with rolling enrollment. You move through the material in a recommended sequence, with each block building toward stronger mobile assessment capability across Android, iOS, and cross-platform environments.
- Recorded lessons organized in a clear progression rather than a loose content library
- Hands-on assignments and practical checkpoints built around real application analysis
- Live office hours for questions, discussion, and review
- Optional feedback on selected work
- Recommended 5-week intensive pace or 10-week extended pace
- CFSE foundations included with no prior CFSE experience required
Corporate delivery
Private on-site or remote, 3-day or 5-day intensive, adapted to your team's mobile stack and assessment goals.
Hands-on throughout, with labs and structured exercises across real mobile environments, including native and cross-platform architectures.
Who it's for
For practitioners
This is for security practitioners working on mobile systems who want to move beyond workflow-driven testing and produce findings they can defend through system reasoning and evidence.
For teams
This is for product security and application security teams who want mobile assessments to be reproducible, explainable, and less dependent on individual intuition.
For modern mobile environments
This is especially relevant for teams dealing with React Native, Flutter, hybrid architectures, deep-link-heavy flows, embedded web content, and backend-mediated mobile trust.
Not for
- People looking for a beginner introduction to Android or iOS basics
- People who want a tool walkthrough without the modeling work
- Teams that only want a checklist mapped to standards with no deeper architectural analysis
Why Attify's approach is different
Many mobile courses teach how to execute a testing workflow.
This training teaches how to reason about the system that workflow is trying to assess.
That difference matters when the vulnerability is not sitting in a single screen, storage location, or endpoint, but in how mobile code, platform behavior, bridge layers, and backend assumptions interact.
The goal is not just to instrument the app. It is to understand the system well enough to ask better questions, test the right claims, and produce findings that survive scrutiny.
FAQ
Why serious practitioners train with Attify
This program is backed by Aditya Gupta's mobile and IoT security training history, books, Black Hat and DEF CON teaching experience, private delivery for advanced teams, and original tooling and methodology work across Attify's research and training stack.