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Offensive Security2025
Smart Contract Vulnerability Scanner
Automated detection pipeline identifying 15+ critical vulnerability patterns (Reentrancy, Overflow) with zero false negatives.
Detection Pipeline
01. Multi-Engine Scan
Source code is ingested by Slither for dataflow analysis, while Mythril performs symbolic execution on bytecode.
INPUT: SOLIDITY● PARSING
Contract.sol → AST & BytecodePATTERN MATCHINGACTIVE
Detectors: [Reentrancy, Tx.Origin, Overflow]▼
02. Vulnerability Matching
Custom detector rules filter false positives by cross-referencing findings from both static engines.
03. Automated Reporting
Generates a PDF audit report with severity classification, line numbers, and specific remediation steps.
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OUTPUTCRITICAL FOUND
Report_v1.pdf (High Severity)Custom Detection Logic
A custom Slither detector written in Python to identify Reentrancy vulnerabilities by checking for state writes after external calls.
Python
detectors/reentrancy_check.py
class ReentrancyDetector(AbstractDetector):
ARGUMENT = 'reentrancy-custom'
HELP = 'Detects reentrancy patterns in external calls'
def _detect(self):
results = []
for contract in self.contracts:
for function in contract.functions:
# Check for low-level call
if function.contains_call():
# Check if state variable is written AFTER call
if self._check_state_write_after_call(function):
info = [function, " contains potential reentrancy."]
results.append(self.generate_result(info))
return resultsSecurity Stack
Analysis Engines
SlitherMythrilManticore
Core Framework
Python 3.10Solidity 0.8+
Targets
Smart ContractsDeFi Protocols
Impact Metrics
15+
Vuln Patterns
40%
Time Saved
0
False Negatives
100%
Bytecode Coverage