Stop maliciouscontracts beforeexecution.
Pre-confirmation on-chain threat intelligence powered by runtime simulation, behavioral analysis and evidence-based risk detection.
Current security tooling reacts too late.
Most on-chain security tools rely on superficial heuristics, delayed reporting or static-only scans.
By the time malicious behavior is detected, funds are already gone.
Voidnaut focuses on pre-loss threat detection by analyzing contracts before execution using simulation-driven intelligence and behavioral evidence.
The threat is hidden before execution.
Reactive scanners
Most tools identify malicious behavior after execution has already happened.
Static-only analysis
Surface-level scans miss dangerous runtime behavior and execution anomalies.
Signal noise
Generic risk scores create false positives and reduce operational confidence.
Analyze. Simulate. Correlate. Detect.
01 / Contract ingestion
Voidnaut ingests contract bytecode, metadata and transaction context.
02 / Proxy resolution
Upgradeable contracts and proxy relationships are resolved before analysis begins.
03 / Static analysis
The engine inspects privileged functions, ownership logic and suspicious patterns.
04 / Runtime simulation
Transactions are executed inside a controlled simulation environment to observe real behavior.
05 / Risk correlation
Static findings, simulations and deployer intelligence are correlated into explainable signals.
06 / Threat scoring
Voidnaut generates evidence-based threat assessments with actionable context.
Detect high-risk behaviors before they execute.
Honeypots
Detect contracts designed to block sells or trap liquidity.
Malicious approvals
Identify unsafe approval flows and hidden transfer risks.
Rug pull indicators
Detect privileged withdrawals, ownership abuse and liquidity manipulation patterns.
Obfuscated proxies
Resolve hidden implementation logic behind upgradeable proxy structures.
Suspicious deployers
Analyze deployer reputation, behavioral recurrence and connected deployments.
Runtime anomalies
Surface dangerous execution paths invisible to static-only scanners.
Threat intelligence with execution-level clarity.
Every signal is backed by execution evidence, behavioral context and explainable analysis.
Built for precision-focused threat detection.
Built for integrations and automated security workflows.
Use Voidnaut through APIs, monitoring systems, bots and internal security pipelines.
Security infrastructure for the on-chain economy.
Voidnaut is not a generic scanner.
It is a pre-loss threat intelligence engine designed to identify malicious behavior before execution happens.
Built by Moonrad.
FAQ_DATABASE
Voidnaut provides automated, real-time risk infrastructure for crypto assets on Base. We allow engineering teams to run point-in-time contract simulations and configure persistent watch targets to intercept protocol exploits and malicious state changes before they post to a block.
Mathematically mapped by risk severity: Safe (0-29) for verified code structures; Caution (30-59) for minor operational anomalies; Danger (60-79) for suspicious administrative or proxy permissions; and Critical (80-100) when malicious execution or sell restrictions are explicitly verified by simulation.
By verifying execution context instead of just scanning text patterns. Our engine correlates live contract execution parameters with structural logic and relational cluster history, filtering out semantic duplicates so your operational team only receives highly accurate, actionable security data.
Analyze before execution.
Detect malicious behavior before transactions become irreversible.