What you'll learn
Threat-model client boundaries, protect tokens and data, validate inputs, review dependencies, and design consent and deletion flows. The lesson turns the APIs into a repeatable engineering workflow instead of a collection of isolated snippets.
By the end of this lesson, you'll be able to:
- Apply Threat modeling in a production-shaped Flutter feature
- Apply Auth and authorization in a production-shaped Flutter feature
- Apply Secure storage in a production-shaped Flutter feature
- Apply Client secret limits in a production-shaped Flutter feature
Core mental model
Connect each API to the decision it supports. Flutter code stays maintainable when state, ownership, lifecycle, and platform boundaries are explicit.
| Concept | What it means | Decision rule |
|---|---|---|
| Trust boundary | A point where data or authority crosses between systems | Validate input and enforce authorization on the trusted side |
| Secure storage | OS-backed protection for small sensitive values | Store minimal short-lived tokens, not general application databases |
| Client secret | A credential embedded in a distributed application | Assume it can be extracted and keep privileged secrets on a backend |
Professional workflow
Work in small vertical slices and keep behavior observable from the first iteration.
- Define the threat-modeled session boundary boundary: user goal, inputs, visible states, ownership, and expected failures.
- Build the smallest working vertical slice with typed data and explicit dependencies.
- Represent loading, empty, success, and failure behavior where the feature can encounter them.
- Verify logic away from the UI, then exercise the rendered behavior at its public boundary.
- Inspect lifecycle, accessibility, performance, security, and platform behavior before widening the feature.
- Refactor only after behavior is protected by repeatable evidence.
Protect the frame
Guided Flutter lab
Build a focused threat-modeled session boundary slice
This compact example keeps the important ownership and data-flow decisions visible so the behavior is easy to extend and test.
abstract interface class SessionStore {
Future<void> saveRefreshToken(String token);
Future<String?> readRefreshToken();
Future<void> clear();
}
class SecureSessionStore implements SessionStore {
SecureSessionStore(this.storage);
final FlutterSecureStorage storage;
static const key = 'refresh_token';
@override Future<void> saveRefreshToken(String token) => storage.write(key: key, value: token);
@override Future<String?> readRefreshToken() => storage.read(key: key);
@override Future<void> clear() => storage.delete(key: key);
}
// Authorization still belongs on the server for every protected operation.Production practice
Contract
Define the threat-modeled session boundary inputs, outputs, owner, lifecycle, visible states, and platform assumptions before selecting APIs or packages.
Verification
Protect pure rules with unit tests and the rendered public contract with widget or integration evidence; include one unavailable or failure case.
Operations
Keep dependencies replaceable, log actionable context without user secrets, and measure user-visible behavior before optimizing.
Common failure mode
Independent workshop
Extend the guided lab into a review-ready threat-modeled session boundary feature that fits the running course portfolio app.
Your finished workshop must include:
- Threat modeling
- Auth and authorization
- Secure storage
- Client secret limits
- Deep-link and WebView risks
- Automated verification and a short design note
Definition of done
Recap & quick check
Key takeaways
- Trust boundary: Validate input and enforce authorization on the trusted side
- Secure storage: Store minimal short-lived tokens, not general application databases
- Client secret: Assume it can be extracted and keep privileged secrets on a backend
Quick check
1. Which rule best applies to Trust boundary?
2. Which rule best applies to Secure storage?
3. Which rule best applies to Client secret?
Next: Native Integration, Flavors & Configuration