Slither vs Mythril vs AI Auditor: Detection Depth Compared

Slither is a Python-based static analysis framework built by Trail of Bits. It converts Solidity source to an intermediate representation (SlithIR) and runs 80+ built-in detectors over it.

Reliably catches:

• Reentrancy vulnerabilities (cross-function and cross-contract)
• Unprotected state variable writes
• Incorrect use of tx.origin for authorization
• Uninitialized storage pointers
• Arbitrary send and transfer calls

Where it struggles: Business logic flaws, cross-contract economic attacks, and novel vulnerability patterns not in its detector set. False positives on complex inheritance hierarchies require manual triage.

Mythril uses symbolic execution — it explores all possible execution paths through a contract to find conditions that could lead to vulnerabilities. This gives it coverage Slither can't achieve through pattern matching alone.

Reliably catches:

• Integer overflow/underflow on specific code paths
• Ether leakage through arbitrary send patterns
• Delegatecall to user-controlled addresses
• Timestamp dependence in branching logic

Where it struggles: Speed. On contracts over 1,000 SLOC, Mythril commonly times out before completing analysis. The state explosion problem means complex protocols get incomplete coverage.

SmartContractAuditor.ai runs Slither and Mythril as part of its analysis pipeline, then layers Claude's AI analysis on top. The AI step:

• Filters false positives from raw tool output before surfacing findings
• Contextualizes findings with explanations a developer can act on
• Catches vulnerability patterns not in Slither or Mythril's detector sets
• Provides prioritized remediation guidance with code examples

The result is a report that's more actionable than raw tool JSON and faster than waiting for a manual audit.