Android WebView Exploitation: A Bug Bounty Perspective
Android WebView Exploitation: A Bug Bounty Perspective
I've been reverse-engineering Android APKs since class 10. What started as curiosity about how apps work turned into a systematic approach to finding vulnerabilities in production applications.
This post covers the attack surfaces I look for in Android WebView implementations — the kind of misconfigurations that earn bug bounty payouts.
Why WebViews?
Android WebViews are embedded browsers. They load web content inside native apps. And developers consistently misconfigure them because:
- The defaults are insecure — JavaScript is disabled by default, but every app enables it
- Bridge functions expose native capabilities —
addJavascriptInterfaceis basically an RCE surface - URL validation is hard — Deep links and intent filters create navigation bypasses
The Methodology
My approach to WebView auditing follows a consistent pattern:
APK Acquisition → jadx Decompilation → Manifest Analysis →
WebView Configuration Audit → JavaScript Bridge Enumeration →
Attack Surface Mapping → Exploitation → Report
Step 1: Find the WebViews
After decompiling with jadx, I grep for WebView instantiation:
// Patterns to search for
WebView
loadUrl(
addJavascriptInterface
setJavaScriptEnabled(true)
WebViewClient
shouldOverrideUrlLoading
Step 2: Check the Configuration
The critical settings:
// Dangerous configurations
webView.getSettings().setJavaScriptEnabled(true); // Required but risky
webView.getSettings().setAllowFileAccess(true); // File system access
webView.getSettings().setAllowUniversalAccessFromFileURLs(true); // SOP bypass
webView.addJavascriptInterface(bridge, "Android"); // Native bridge
Step 3: Map the Bridges
JavaScript bridges are the highest-value targets. If addJavascriptInterface exposes methods that:
- Read device data
- Access authentication tokens
- Modify app state
- Execute system commands
...you have a finding.
Responsible Disclosure
Every vulnerability I find goes through the proper channels — HackerOne for programs that use it, direct security contacts otherwise. The goal isn't exploitation — it's making apps safer for the millions of people who use them.
4 reports submitted. 4 platforms made more secure. The work continues.
I write about security research, AI systems, and building software that matters. More posts coming.