Known Malware Caught by 30+ Engines Simultaneously

Today's malware landscape is crowded with evasive families — the Avalon AI-assisted framework bundles infostealer and ransomware capabilities, while Lazarus Group's npm campaign planted packages masquerading as the Rollup build tool to steal credentials and crypto-wallet data. No single vendor's signatures catch everything. This demo submits the EICAR test file — the industry-standard, completely safe malware simulation string — to Metascan, which runs it through 30+ anti-malware engines in parallel. The result is a single verdict report showing which engines detected the sample and how, giving analysts consensus-based confidence. Organizations get broad detection coverage without depending on any single vendor's update cadence.