Key Takeaways
- WebAssembly modules compiled from C/C++ inherit memory corruption vulnerabilities — buffer overflows and use-after-free bugs exist inside the Wasm sandbox
- Most bug bounty programs don't explicitly exclude Wasm — it's an underexplored attack surface with high-impact findings
- WABT tools (wasm2wat, wasm-decompile) and Chrome DevTools are your primary reverse engineering toolkit
- Focus on the JavaScript-to-Wasm boundary — insecure imports and exports are the most common vulnerability class
- Server-side Wasm (Cloudflare Workers, Fastly Compute) is a growing attack surface with different threat models than browser Wasm
Why WebAssembly Is a Bug Bounty Gold Mine
WebAssembly adoption has exploded. Figma, Google Earth, AutoCAD, Photoshop — major applications now ship critical logic as Wasm modules. Yet most bug bounty hunters skip Wasm entirely because they don't know how to analyze it. That's exactly why it's valuable: low competition, high-impact findings.
Wasm modules often handle sensitive operations: cryptographic key derivation, authentication token generation, payment calculations, and data validation. A vulnerability in any of these is a critical finding.
Understanding the WebAssembly Attack Surface
Before diving into tools, you need to understand what makes Wasm different from JavaScript:
- Linear memory model — Wasm uses a flat byte array for memory. There's no garbage collector. Code compiled from C/C++ manages memory manually, which means buffer overflows and use-after-free bugs are possible inside the sandbox.
- Import/export boundary — Wasm modules communicate with JavaScript through imported and exported functions. This boundary is where type mismatches, missing validation, and trust assumptions create vulnerabilities.
- No direct DOM access — Wasm can't touch the DOM directly. It must call JavaScript imports. But those JavaScript bridge functions often trust Wasm output without validation.
- Deterministic execution — Same inputs produce same outputs. This makes fuzzing highly effective because you can reproduce crashes reliably.
Reconnaissance: Finding Wasm Modules
The first step is identifying targets that use WebAssembly:
# Check if a site loads any .wasm files
# Open Chrome DevTools → Network tab → filter by "wasm"
# Or use curl to check common paths:
curl -sI https://target.com/app.wasm
curl -sI https://target.com/static/wasm/module.wasm
# Search JavaScript bundles for Wasm instantiation
curl -s https://target.com/main.js | grep -i "WebAssembly\.\(instantiate\|compile\|Module\)"
# Check for inline Wasm (base64-encoded modules)
curl -s https://target.com/main.js | grep -oP "AGFzbQ[A-Za-z0-9+/=]+"
The magic bytes for Wasm are \0asm (hex: 00 61 73 6d), which base64-encodes to AGFzbQ. Finding this string in JavaScript source means there's an inline Wasm module.
Reverse Engineering Wasm Modules
Step 1: Download and Convert to WAT
# Install WABT (WebAssembly Binary Toolkit)
# Ubuntu/Debian:
sudo apt-get install wabt
# macOS:
brew install wabt
# Convert binary Wasm to human-readable WAT (WebAssembly Text Format)
wasm2wat target.wasm -o target.wat
# Or get a higher-level decompilation
wasm-decompile target.wasm -o target.dcmp
Step 2: Analyze Imports and Exports
The imports and exports tell you exactly what the Wasm module can do and what it depends on:
# List all imports and exports
wasm-objdump -x target.wasm
# Look for interesting function names
wasm-objdump -x target.wasm | grep -iE "auth|crypt|key|token|password|validate|verify|sign|hash|pay|admin"
Imports from the JavaScript environment are your primary attack surface. If the Wasm module imports a function like env.get_user_role, you can potentially override that import to return arbitrary values.
Step 3: Runtime Debugging with Chrome DevTools
Chrome has native Wasm debugging support:
- Open DevTools → Sources tab
- Find the Wasm module under
wasm://in the source tree - Set breakpoints on exported functions
- Inspect linear memory in the Memory panel
- Step through instructions to understand control flow
Enable the "WebAssembly Debugging: Enable DWARF support" experiment in chrome://flags for source-level debugging if the module includes debug symbols (rare in production, but worth checking).
Common Vulnerability Classes in WebAssembly
1. Buffer Overflow in Linear Memory
C/C++ code compiled to Wasm retains its memory bugs. The difference is that overflows corrupt the Wasm linear memory rather than process memory:
// Vulnerable C code compiled to Wasm
void process_input(char* input) {
char buffer[64];
strcpy(buffer, input); // No bounds checking — classic overflow
// buffer overflow corrupts adjacent data in linear memory
}
To exploit this, identify functions that take string or buffer inputs from JavaScript, then send oversized inputs and observe memory corruption in DevTools.
2. Type Confusion at the JS-Wasm Boundary
Wasm functions have strict type signatures (i32, i64, f32, f64), but JavaScript is dynamically typed. The bridge code often fails to validate types properly:
// JavaScript bridge code (vulnerable)
const result = wasmModule.exports.calculate_price(
userInput.quantity, // Expected: i32, but what if this is a float? NaN? Infinity?
userInput.discount // Expected: f64, but what if this is a string?
);
// Wasm receives garbage values and produces unexpected results
Test by passing unexpected types: NaN, Infinity, -0, very large numbers, negative numbers where unsigned is expected.
3. Insecure Import Overrides
When a Wasm module is instantiated, the JavaScript code provides its imports. If you can control the instantiation (e.g., through prototype pollution or a DOM-based injection), you can replace imported functions:
// Normal instantiation
const imports = {
env: {
is_admin: () => 0, // Returns false
get_balance: () => currentBalance
}
};
const instance = await WebAssembly.instantiate(wasmBytes, imports);
// Attack: if you can modify the imports object
imports.env.is_admin = () => 1; // Now returns true
imports.env.get_balance = () => 999999; // Arbitrary balance
4. Integer Overflow in Wasm Arithmetic
Wasm integers wrap on overflow (like C). If the application uses Wasm for financial calculations or access control checks, integer overflow can bypass validation:
;; WAT showing vulnerable bounds check
(func $check_withdrawal (param $amount i32) (param $balance i32) (result i32)
;; if amount <= balance, allow withdrawal
local.get $amount
local.get $balance
i32.le_u ;; unsigned comparison
;; But what if $amount is 0xFFFFFFFF (-1 as signed)?
;; As unsigned, it's 4294967295 — larger than any balance
;; But if used in subsequent signed arithmetic, it wraps
)
5. Memory Disclosure via Uninitialized Data
Wasm linear memory is zero-initialized at startup, but after the module runs, freed memory regions may contain sensitive data. If a function returns a pointer to a buffer without clearing it first, previous data leaks:
// If the Wasm module processes authentication tokens in memory,
// then later allocates a buffer for user-visible output in the same region,
// the output may contain fragments of the token
Exploitation Techniques
Manipulating Linear Memory from JavaScript
If the Wasm module exports its memory (most do), JavaScript can read and write it directly:
// Access Wasm linear memory
const memory = wasmInstance.exports.memory;
const view = new Uint8Array(memory.buffer);
// Read sensitive data from known offsets
const sensitiveData = new TextDecoder().decode(view.slice(0x1000, 0x1100));
// Write arbitrary data to corrupt application state
view.set(new TextEncoder().encode("admin"), 0x2000);
This is particularly dangerous when combined with a cross-site scripting (XSS) vulnerability — the attacker's JavaScript can directly manipulate the Wasm module's internal state.
Fuzzing Wasm Exports
Systematic fuzzing of exported functions often reveals crashes and unexpected behavior:
// Simple fuzzer for Wasm exported functions
const exports = wasmInstance.exports;
const testValues = [
0, -1, 1, 0x7FFFFFFF, -0x80000000, 0xFFFFFFFF,
NaN, Infinity, -Infinity, 0.1, -0.1,
Number.MAX_SAFE_INTEGER, Number.MIN_SAFE_INTEGER
];
for (const funcName of Object.keys(exports)) {
if (typeof exports[funcName] === 'function') {
for (const val of testValues) {
try {
const result = exports[funcName](val);
console.log(`${funcName}(${val}) = ${result}`);
} catch (e) {
console.error(`${funcName}(${val}) CRASHED: ${e.message}`);
// Wasm traps (unreachable, out-of-bounds) show up here
}
}
}
}
Pay special attention to RuntimeError: unreachable (indicates a panic/abort path) and RuntimeError: memory access out of bounds (indicates a buffer overflow that escaped linear memory bounds).
Server-Side WebAssembly
Cloudflare Workers, Fastly Compute, and Fermyon Spin run Wasm on the server. The threat model is different:
- WASI (WebAssembly System Interface) — Server-side Wasm may have filesystem, network, and environment variable access through WASI. Misconfigured WASI permissions can expose the host system.
- Shared-nothing isolation — Each Wasm instance is isolated, but if the host runtime has bugs, sandbox escapes are possible (these are critical-severity findings).
- Cold start data leaks — If Wasm instances are reused across requests, data from one request may leak to another through uncleared linear memory.
To test server-side Wasm, look for headers like cf-worker (Cloudflare Workers) or x-served-by: cache- patterns that indicate edge compute. Then test for memory leaks by sending sequential requests and checking if response data contains fragments from previous requests.
Tools for WebAssembly Security Testing
| Tool | Purpose | Link |
|---|---|---|
| WABT | Binary-to-text conversion, validation, objdump | github.com/WebAssembly/wabt |
| wasm-decompile | Higher-level decompilation (included in WABT) | Included in WABT |
| Ghidra + Wasm plugin | Full disassembly and decompilation | ghidra-wasm-plugin |
| Chrome DevTools | Runtime debugging, memory inspection, breakpoints | Built into Chrome |
| Manticore | Symbolic execution for Wasm | github.com/trailofbits/manticore |
| wasm-opt (Binaryen) | Optimization and transformation of Wasm binaries | github.com/WebAssembly/binaryen |
| Wasmer | Local Wasm runtime for testing server-side modules | wasmer.io |
Bug Bounty Reporting Tips for Wasm Vulnerabilities
- Demonstrate impact clearly — A buffer overflow in Wasm linear memory is less impactful than a process-level overflow. Show what data gets corrupted and how it affects the application (e.g., bypassing authentication, manipulating financial calculations).
- Chain with other vulnerabilities — Wasm memory manipulation + XSS = critical. A standalone Wasm type confusion might be medium severity, but chained with another bug it becomes high/critical.
- Include reproduction steps with DevTools — Show the exact breakpoints, memory addresses, and function calls. Programs love detailed Wasm reports because they rarely receive them.
- Note the source language — If you can identify that the Wasm was compiled from C (no bounds checking) vs. Rust (panics on overflow), mention it. It helps the developer understand the root cause.
Real-World Attack Scenarios
Scenario 1: Crypto Wallet Key Derivation
A browser-based crypto wallet uses Wasm for key derivation. The Wasm module takes a password and salt, runs PBKDF2, and returns the derived key. By fuzzing the password length parameter, you discover a buffer overflow that corrupts the salt, causing the same key to be derived for different passwords. Impact: predictable wallet keys.
Scenario 2: Client-Side Access Control
A SaaS application uses Wasm to evaluate feature flags and access control rules client-side. The Wasm module exports a check_permission function. By overriding the imported get_user_tier function to always return the enterprise tier value, you unlock premium features. Impact: authorization bypass.
Scenario 3: Game Anti-Cheat Bypass
A browser game uses Wasm for physics calculations and score validation. By modifying the linear memory where the score is stored (exported memory + known offset from reverse engineering), you can submit arbitrary scores that pass the Wasm validation. Impact: game integrity compromise.
Methodology Checklist
- Discover — Find .wasm files in network traffic, JavaScript bundles, and source maps
- Download — Save the .wasm binary locally for offline analysis
- Decompile — Convert to WAT, run wasm-objdump, identify imports/exports
- Map the boundary — Trace how JavaScript calls Wasm exports and what imports are provided
- Identify sensitive functions — Look for auth, crypto, payment, and validation logic
- Fuzz exports — Test all exported functions with edge-case values
- Inspect memory — Check for sensitive data in linear memory, test for overflows
- Test import overrides — Determine if imports can be manipulated (via XSS, prototype pollution, etc.)
- Chain findings — Combine Wasm bugs with web vulnerabilities for maximum impact
- Report with PoC — Include DevTools screenshots, memory dumps, and step-by-step reproduction
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