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new codegen
I'll analyze the CodeGen directory to understand the current code generation capabilities and identify any missing forms of code generation for creating custom IL states in Fuzzilli. Let me start by examining the existing code generators and their structure.
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Now let me examine the program templates and understand the broader code generation structure:
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Let me search for more specific information about the IL operations and what might be missing:
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Let me search for more specific patterns and examine the complete opcode list:
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Now let me create a comprehensive analysis by examining the complete opcode list and understanding what might be missing:
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Let me continue reading the opcodes to get the complete picture:
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Now let me get a count of generators and analyze what might be missing:
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Let me search for specific patterns and count generators more accurately:
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Let me try a different approach to count the generators:
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Now let me complete my analysis and provide comprehensive recommendations:
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Based on my comprehensive analysis of the Fuzzilli codebase, I can identify several areas where code generation capabilities could be enhanced for creating more complex and diverse IL states. Here's my assessment:
Fuzzilli currently has 317 generators across:
-
173 JavaScript generators in
CodeGenerators.swift -
124 WebAssembly generators in
WasmCodeGenerators.swift -
20 generator adapters in
CodeGenerator.swift
The existing generators cover:
- Primitive types: integers, floats, strings, booleans, null, undefined
- Complex types: arrays, objects, functions, classes, BigInt, RegExp
- Builtin objects and constructors
- Loops: while, do-while, for, for-in, for-of, repeat
- Conditionals: if-else, switch statements
- Exception handling: try-catch-finally, throw
- Jumps: break, continue
- Property access: get/set/delete properties and elements
- Method calls: function calls, constructor calls, method calls
- Operations: unary, binary, ternary operations
- Destructuring: array and object destructuring
- Classes: instance/static methods, private fields, inheritance
- Async/await and generators
- Proxies and reflection
- Template literals and tagged templates
- Symbols and well-known symbols
Here are the key areas where Fuzzilli could benefit from additional code generation capabilities:
// Missing generators for:
- Worker/SharedArrayBuffer patterns
- Message passing between contexts
- Atomic operations on shared memory
- Web Workers communication patterns
- Service Worker specific patterns// Missing generators for:
- State machine implementations
- Observer pattern implementations
- Event emitter patterns
- Promise chains with complex error handling
- Async iterator patterns// Missing generators for:
- Deep object cloning patterns
- Object freezing/sealing patterns
- Property descriptor manipulation
- Symbol-based property access
- WeakMap/WeakSet usage patterns// Missing generators for:
- Circular reference patterns
- Memory leak inducing patterns
- Garbage collection stress patterns
- Large object graph generation
- Weak reference patterns// Missing generators for:
- Complex type conversion chains
- Custom valueOf/toString implementations
- Symbol.toPrimitive usage
- Complex equality comparison chains
- Type coercion edge cases// Missing generators for:
- ES6 module import/export patterns
- Dynamic imports
- Module loading edge cases
- Circular dependency patterns
- Module namespace object manipulation// Missing generators for:
- Custom error class hierarchies
- Error boundary patterns
- Promise rejection handling
- Async error propagation
- Error recovery patterns// Missing generators for:
- Hot loop patterns
- JIT optimization triggers
- Deoptimization patterns
- Memory pressure patterns
- CPU-intensive computation patterns// Missing generators for:
- Prototype pollution patterns
- Property accessor abuse
- Function constructor usage
- Eval usage patterns
- Dynamic code generation// Missing generators for:
- Complex JS-WASM interop
- WASM memory management
- WASM exception handling
- WASM-GC integration
- Multi-module WASM patternsRecursiveCodeGenerator("StateMachineGenerator") { b in
let states = (0..<Int.random(in: 3...8)).map { _ in b.loadString(b.randomString()) }
let currentState = b.loadString(states[0])
b.buildSwitch(on: currentState) { cases in
for state in states {
cases.addCase(state) {
// Generate state transition logic
b.buildRecursive()
}
}
}
}CodeGenerator("CircularReferenceGenerator") { b in
let obj1 = b.createObject(with: [:])
let obj2 = b.createObject(with: [:])
b.setProperty("ref", of: obj1, to: obj2)
b.setProperty("ref", of: obj2, to: obj1)
}RecursiveCodeGenerator("ComplexPromiseChainGenerator") { b in
let promise = b.createNamedVariable(forBuiltin: "Promise")
let p = b.construct(promise) { resolve, reject in
b.buildRecursive()
}
b.await(p)
b.buildRecursive()
}ValueGenerator("MemoryPressureGenerator") { b, n in
for _ in 0..<n {
let size = Int.random(in: 1000...10000)
let array = b.createArray(with: (0..<size).map { _ in b.randomJsVariable() })
// Generate operations that stress memory
}
}CodeGenerator("AdvancedTypeCoercionGenerator", inputs: .two) { b, val1, val2 in
// Generate complex type coercion chains
let result1 = b.binary(val1, val2, with: .add)
let result2 = b.binary(result1, b.loadString("test"), with: .add)
let result3 = b.binary(result2, b.loadInt(42), with: .add)
// Continue the chain...
}- High Priority: State machine patterns, circular references, complex promise chains
- Medium Priority: Memory pressure patterns, advanced type coercion, module patterns
- Low Priority: Security patterns, performance patterns (these might be too specific)
The current code generation system is quite comprehensive, but adding these patterns would significantly enhance Fuzzilli's ability to generate more complex and diverse IL states that could trigger edge cases in JavaScript engines.
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