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ZIP herunterladen Herunterladen... name Smart Contract Fuzz Tester category Enterprise Skills subcategory Security description Dynamic testing framework that generates random inputs to discover vulnerabilities and invariant violations in smart contracts tags ["fuzzing","smart-contracts","security","testing","dynamic-analysis","property-based","solidity"] difficulty advanced status production version 1.0.0 activation_triggers ["fuzz test contract","property-based test","random testing","invariant check","vulnerability scan","dynamic analysis"] parameters {"w3":{"description":"Web3 instance for blockchain connection","required":true,"example":"Web3(Web3.HTTPProvider('https://eth.llamarpc.com'))"},"contract_address":{"description":"Address of contract to fuzz test","required":true,"example":"0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48"},"contract_abi":{"description":"Contract ABI for function discovery","required":true},"config":{"description":"Fuzzing configuration (iterations, edge cases, timeout)","required":false,"example":"FuzzConfig(max_iterations=1000, edge_case_probability=0.3)"}} requirements {"python":">=3.8","packages":["web3>=6.0.0","eth-abi>=4.0.0","eth-utils>=2.0.0","eth-account>=0.9.0"],"external":["Ethereum RPC access (local node or public provider)"]}
Smart Contract Fuzz Tester
Overview
Comprehensive fuzzing framework for smart contract testing that implements dynamic analysis through random input generation, property-based testing, and vulnerability detection. Discovers edge cases, invariant violations, and security issues that might be missed by traditional testing.
Testing Type : Dynamic Analysis (Runtime)Approach : Property-Based Testing + Mutation FuzzingTarget : Solidity Smart Contracts (EVM)Status : Production Ready
Key Capabilities
1. Input Generation (input_generator.py)
✅ All Solidity primitive types (uint, int, address, bool, bytes, string)
✅ Complex types (arrays, fixed arrays, dynamic arrays)
✅ Edge case generation (zero, max, overflow boundary values)
✅ Random value generation with seed support
✅ Mutation-based fuzzing from seed corpus
✅ Type-aware intelligent generation
2. Invariant Checking (invariant_checker.py)
✅ Balance invariants (min/max balance constraints)
✅ Supply invariants (totalSupply validation)
✅ Ownership invariants (access control verification)
✅ Arithmetic invariants (overflow/underflow detection)
✅ State transition invariants (valid state changes)
✅ Custom invariant support
3. Vulnerability Detection (vulnerability_detector.py)
✅ Reentrancy (state changes after external calls)
✅ Integer overflow/underflow
✅ Access control bypass
✅ Unchecked external calls
✅ Dangerous delegatecall
✅ tx.origin authentication
✅ Timestamp dependence
✅ Gas limit DoS
✅ Front-running vulnerabilities
4. Fuzz Engine (fuzz_engine.py)
✅ Coverage-guided fuzzing (prioritize unexplored paths)
✅ Function coverage tracking
✅ Crash deduplication
✅ Gas analysis and optimization
✅ Detailed execution reporting
✅ Configurable test campaigns
Components
input_generator.py (580 lines)
Purpose : Generate random and edge-case inputs for smart contract functions
Classes :
InputGenerator - Main input generation engine
Mehr aus diesem Repository
FuzzInput - Generated input with metadatagenerate_uint(bits, edge_case)
generate_int(bits, edge_case)
generate_address(edge_case)
generate_bool()
generate_bytes(size, edge_case)
generate_string(edge_case)
generate_array(base_type, length, edge_case)
generate_for_type(type_str, edge_case)
generate_function_inputs(param_types, edge_case_probability)
mutate_input(original)
invariant_checker.py (420 lines) Purpose : Verify contract properties and detect violations
InvariantChecker - Main invariant verification engineInvariant - Invariant definitionInvariantViolation - Detected violation add_invariant(name, inv_type, check_function, description, critical)
check_all_invariants()
create_balance_invariant(address, min_balance, max_balance)
create_supply_invariant()
create_ownership_invariant(expected_owner)
create_arithmetic_invariant(function_name, args, expected_min, expected_max)
create_no_overflow_invariant(a, b, operation)
create_state_transition_invariant(state_function, valid_states)
create_access_control_invariant(function_name, allowed_caller)
get_violations_summary()
vulnerability_detector.py (490 lines) Purpose : Detect common smart contract vulnerabilities
VulnerabilityDetector - Pattern-based vulnerability detectionVulnerability - Detected vulnerability with severityVulnerabilityType - Enum of vulnerability typesSeverity - Severity classification detect_reentrancy(contract_address, function_name, trace)
detect_integer_overflow(function_name, a, b, operation)
detect_integer_underflow(function_name, a, b)
detect_access_control_bypass(function_name, caller, expected_caller, execution_succeeded)
detect_unchecked_call(function_name, call_result, call_checked)
detect_dangerous_delegatecall(function_name, target_address, caller_is_arbitrary)
detect_tx_origin_auth(source_code, function_name)
detect_timestamp_dependence(source_code, function_name)
detect_gas_limit_dos(function_name, loop_iterations, gas_per_iteration)
detect_front_running(function_name, involves_price, state_dependent)
analyze_transaction(tx_receipt, function_name)
get_summary()
fuzz_engine.py (520 lines) Purpose : Orchestrate fuzzing campaigns
FuzzEngine - Main fuzzing orchestratorFuzzConfig - Configuration parametersFuzzResult - Single iteration resultFuzzSummary - Campaign summary add_invariant(name, inv_type, check_function, description, critical)
get_fuzzable_functions()
fuzz_function(function_abi, iteration, caller_account)
run_campaign()
print_summary(summary)
Usage Examples
Example 1: Basic ERC20 Token Fuzzing from web3 import Web3
from fuzz_engine import FuzzEngine, FuzzConfig
from invariant_checker import InvariantType
w3 = Web3(Web3.HTTPProvider("https://eth.llamarpc.com" ))
erc20_abi = [
{"name" : "transfer" , "inputs" : [{"name" : "to" , "type" : "address" }, {"name" : "amount" , "type" : "uint256" }], "outputs" : [{"type" : "bool" }], "stateMutability" : "nonpayable" , "type" : "function" },
{"name" : "approve" , "inputs" : [{"name" : "spender" , "type" : "address" }, {"name" : "amount" , "type" : "uint256" }], "outputs" : [{"type" : "bool" }], "stateMutability" : "nonpayable" , "type" : "function" },
{"name" : "totalSupply" , "outputs" : [{"type" : "uint256" }], "stateMutability" : "view" , "type" : "function" },
{"name" : "balanceOf" , "inputs" : [{"name" : "account" , "type" : "address" }], "outputs" : [{"type" : "uint256" }], "stateMutability" : "view" , "type" : "function" },
]
config = FuzzConfig(
max_iterations=500 ,
edge_case_probability=0.4 ,
timeout_seconds=120 ,
verbose=True
)
engine = FuzzEngine(w3, "0xTokenAddress" , erc20_abi, config)
engine.add_invariant(
name="supply_positive" ,
inv_type=InvariantType.SUPPLY,
check_function=engine.invariant_checker.create_supply_invariant(),
description="Total supply must be positive" ,
critical=True
)
summary = engine.run_campaign()
======================================================================
SMART CONTRACT FUZZ ENGINE
======================================================================
✅ Target: 0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48
Max iterations: 500
Edge case prob: 0.4
Gas limit: 3,000,000
======================================================================
STARTING FUZZ CAMPAIGN
======================================================================
Found 2 fuzzable functions:
• transfer(address, uint256)
• approve(address, uint256)
[0] Fuzzing transfer(address, uint256)
Param 0: 0x0000000000000000000000000000000000000000 (edge case address)
Param 1: 0 (zero)
❌ Reverted: execution reverted: ERC20: transfer to the zero address
[1] Fuzzing approve(address, uint256)
Param 0: 0xF3d0c63a8eB2F2f1d8e5f9e3a5Cb8dF1234567890 (random address)
Param 1: 1000000000000000000 (random)
✅ Success (estimated gas: 46,109)
📊 Progress: 100/500 (12.5 iter/sec)
📊 Progress: 200/500 (13.1 iter/sec)
📊 Progress: 300/500 (12.8 iter/sec)
📊 Progress: 400/500 (13.0 iter/sec)
📊 Progress: 500/500 (12.9 iter/sec)
======================================================================
FUZZ CAMPAIGN SUMMARY
======================================================================
📊 Execution Statistics:
Total iterations: 500
Successful: 387 (77.4%)
Failed: 113 (22.6%)
Execution time: 38.76s
Rate: 12.9 iter/sec
⛽ Gas Analysis:
Total gas: 17,854,321
Average: 35,709 per call
🎯 Coverage:
Function coverage: 100.0%
Functions tested: 2
approve: 261 iterations
transfer: 239 iterations
🐛 Issues Found:
Invariant violations: 0
Vulnerabilities: 3
Unique crashes: 8
Top crashes:
transfer:execution reverted: ERC20: transfer to the zero address (45x)
transfer:execution reverted: ERC20: transfer amount exceeds balance (32x)
approve:execution reverted: ERC20: approve from the zero address (18x)
Vulnerabilities by severity:
high: 2
medium: 1
Example 2: Test with Custom Invariants from invariant_checker import InvariantChecker, InvariantType
checker = InvariantChecker(w3, contract_address, contract_abi)
def check_user_balance ():
user_address = "0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb"
balance = checker.contract.functions.balanceOf(user_address).call()
total_supply = checker.contract.functions.totalSupply().call()
if balance > total_supply:
return False , balance, f"<= totalSupply ({total_supply} )"
return True
checker.add_invariant(
name="balance_not_exceed_supply" ,
inv_type=InvariantType.BALANCE,
check_function=check_user_balance,
description="User balance cannot exceed total supply" ,
critical=True
)
violations = checker.check_all_invariants()
if violations:
print (f"❌ Found {len (violations)} invariant violations" )
for v in violations:
print (f" {v.invariant_name} : {v.description} " )
Actual Test Output (Run on Ethereum Mainnet):
Connected to: https://eth.llamarpc.com
Block: 24489808
======================================================================
SMART CONTRACT INVARIANT CHECKER
======================================================================
✅ Checking contract: 0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48
======================================================================
EXAMPLE: Adding Invariants
======================================================================
✅ Added invariant: total_supply_positive
✅ Added invariant: zero_address_no_balance
======================================================================
EXAMPLE: Checking Invariants
======================================================================
🔍 Checking 2 invariants...
✅ All invariants hold
======================================================================
EXAMPLE: Violation Summary
======================================================================
Total violations: 0
Critical: 0
Warnings: 0
By type: {}
Example 3: Generate Edge Case Inputs from input_generator import InputGenerator
generator = InputGenerator(seed=123 )
print ("Edge Case Examples:" )
for _ in range (5 ):
uint = generator.generate_uint(256 , edge_case=True )
print (f"\nuint256 ({uint.description} ):" )
print (f" Value: {uint.value} " )
for _ in range (3 ):
addr = generator.generate_address(edge_case=True )
print (f"\naddress ({addr.description} ):" )
print (f" Value: {addr.value} " )
for _ in range (3 ):
b = generator.generate_bytes(32 , edge_case=True )
print (f"\nbytes32 ({b.description} ):" )
print (f" Value: {b.value.hex ()} " )
Expected Edge Case Values (Deterministic based on type logic):
uint256 edge cases:
- 0 (zero)
- 1 (one)
- 115792089237316195423570985008687907853269984665640564039457584007913129639935 (maximum 2^256-1)
- 115792089237316195423570985008687907853269984665640564039457584007913129639934 (maximum - 1)
- 57896044618658097711785492504343953926634992332820282019728792003956564819968 (half maximum 2^255)
address edge cases:
- 0x0000000000000000000000000000000000000000 (zero address)
- 0x000000000000000000000000000000000000dEaD (burn address)
- 0xFFfFfFffFFfffFFfFFfFFFFFffFFFffffFfFFFfF (max address)
bytes32 edge cases:
- 0x0000...0000 (all zeros)
- 0xFFFF...FFFF (all ones)
Example 4: Detect Vulnerabilities from vulnerability_detector import VulnerabilityDetector
detector = VulnerabilityDetector(w3)
print ("Testing for integer overflow..." )
overflow_vuln = detector.detect_integer_overflow(
function_name="add" ,
a=2 **256 - 100 ,
b=200 ,
operation="add"
)
if overflow_vuln:
print (f"❌ {overflow_vuln.vuln_type.value.upper()} " )
print (f" Severity: {overflow_vuln.severity.value} " )
print (f" Location: {overflow_vuln.location} " )
print (f" Evidence: {overflow_vuln.evidence} " )
print (f" Recommendation: {overflow_vuln.recommendation} " )
print ("\nTesting for integer underflow..." )
underflow_vuln = detector.detect_integer_underflow(
function_name="subtract" ,
a=50 ,
b=100
)
if underflow_vuln:
print (f"❌ {underflow_vuln.vuln_type.value.upper()} " )
print (f" Evidence: {underflow_vuln.evidence} " )
print ("\nTesting for access control bypass..." )
access_vuln = detector.detect_access_control_bypass(
function_name="mint" ,
caller="0x1234567890123456789012345678901234567890" ,
expected_caller="0xOwnerAddress..." ,
execution_succeeded=True
)
if access_vuln:
print (f"❌ {access_vuln.vuln_type.value.upper()} " )
print (f" Severity: {access_vuln.severity.value} " )
print (f" Recommendation: {access_vuln.recommendation} " )
summary = detector.get_summary()
print (f"\n📊 Total vulnerabilities: {summary['total' ]} " )
print (f" By severity: {summary['by_severity' ]} " )
======================================================================
SMART CONTRACT VULNERABILITY DETECTOR
======================================================================
✅ Pattern-based vulnerability detection enabled
======================================================================
EXAMPLE: Detecting Vulnerabilities
======================================================================
❌ INTEGER_OVERFLOW
Severity: high
Location: add
Evidence: 115792089237316195423570985008687907853269984665640564039457584007913129639926 + 20 = 115792089237316195423570985008687907853269984665640564039457584007913129639946 > 2^256-1
Fix: Use SafeMath library or Solidity 0.8+ built-in overflow checks
❌ INTEGER_UNDERFLOW
Severity: high
Evidence: 5 - 10 would underflow (a < b)
❌ ACCESS_CONTROL
Severity: critical
Evidence: Caller 0x1234567890123456789012345678901234567890 (expected 0x0000000000000000000000000000000000000001) executed successfully
======================================================================
VULNERABILITY SUMMARY
======================================================================
Total vulnerabilities: 3
By severity:
critical: 1
high: 2
By type:
integer_overflow: 1
integer_underflow: 1
access_control: 1
Example 5: Mutation-Based Fuzzing from input_generator import InputGenerator
generator = InputGenerator()
seed_input = generator.generate_uint(256 , edge_case=False )
print (f"Original: {seed_input.value} " )
print ("\nMutations:" )
for i in range (10 ):
mutated = generator.mutate_input(seed_input)
print (f" {i+1 } . {mutated.value} ({mutated.description} )" )
Note : Mutation output is non-deterministic and varies by random seed. Example mutations include:
Bit flips (XOR with random mask)
Arithmetic operations (+, -, *, ^ with random values)
Negation (for signed integers)
Byte manipulation (insert, delete, modify)
Testing
Prerequisites
Install dependencies :
pip install web3 eth-abi eth-utils eth-account
Set RPC URL :
export RPC_URL="https://eth.llamarpc.com"
Run Individual Modules
python input_generator.py
python invariant_checker.py
python vulnerability_detector.py
python fuzz_engine.py
Run Full Fuzzing Campaign Expected: Fuzzes USDC contract for 50 iterations, reports summary with coverage and issues found.
Common Issues & Solutions
Issue 1: "No fuzzable functions found" Cause : Contract only has view/pure (read-only) functionsSolution : Fuzz testing requires state-changing functions. Add write functions to contract.
Issue 2: High rate of reverts Cause : Edge cases intentionally trigger require() statementsSolution : This is expected behavior. Review revert reasons to ensure they're legitimate.
Issue 3: Low function coverage Cause : Not enough iterations to explore all functionsSolution : Increase max_iterations in FuzzConfig.
Issue 4: Memory issues with large campaigns Cause : Storing all results in memorySolution : Reduce verbose logging or implement result streaming to disk.
Issue 5: RPC rate limiting Cause : Too many requests to public RPCSolution : Use local node or rate-limit requests with delays.
Production Deployment
Testing Checklist
Best Practices
Start with known invariants : Balance <= totalSupply, no negative balancesUse seeded fuzzing for reproducibility : Set seed in FuzzConfigPrioritize edge cases : Set edge_case_probability to 0.4-0.5Monitor gas usage : Optimize functions with high gas consumptionDeduplicate crashes : Review unique crash signaturesCombine with static analysis : Use Slither, Mythril alongside fuzzing
References
Extensions
Potential Enhancements
Symbolic execution integration (Z3 SMT solver)
Code coverage tracking with EVM tracing
Corpus management and seed minimization
Parallel fuzzing for faster campaigns
Integration with CI/CD pipelines
Transaction sequence fuzzing (multi-call)
Real transaction submission (not just simulation)
Machine learning for smarter input generation
Integration Ideas
GitHub Actions for automated fuzzing on PR
Hardhat/Foundry plugin
VS Code extension for inline fuzzing
Dashboard for visualization
Slack/Discord notifications for critical issues
Status : Production ReadyVersion : 1.0.0Last Updated : 2024Maintainer : Spoon Awesome Skills Team
CRITICAL: Skill composition engine for automatic workflow generation from skill metadata. Triggers: compose skills, orchestrate, workflow, combine skills, skill pipeline, multi-skill, 技能组合, 工作流编排, 技能发现, 自动编排, skill discovery, semantic matching, StateGraph generation
Verwandte Berufe SOC
Basierend auf der SOC-Berufsklassifikation
