Support Web3 Security — Every Donation Gets Matched
Ethereum Security QF ending May 15
We’re building DeFiHackLabs community as a public good — not a business
Every donation gets matched → bigger impact
Support builders, researchers, and whitehats
We have launched an AI Security (AiSec) initiative focused on applying LLMs to advance Ethereum and Web3 security.
We are actively building and open-sourcing:
LLM-SAST-Scanner — LLM-driven smart contract vulnerability detection
TxAnalyzer — AI-assisted transaction and fund flow analysis
Security datasets — structured exploit and vulnerability datasets for model training
Smart contract audit agents — automated agents for vulnerability discovery and analysis
Why AI matters for Ethereum security
Current limitation
While we have strong contributors and ongoing research, we are currently constrained by resources:
LLM experimentation requires significant API token budgets
Local model development requires GPU infrastructure
Scaling datasets and evaluation pipelines requires sustained compute resources
Our limitation is not talent or ideas — but compute and experimentation capacity