<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/37ec3116acbf44b98b0835b8b5893f89&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/37ec3116acbf44b98b0835b8b5893f89-00001.gif</thumbnail_url><duration>133.81</duration><title>Spotter Snap: Enhancing Metmasq UX for Security 🛡️</title><description>Hey there! In this video, I&apos;m excited to introduce you to Spotter Snap, a tool that helps Metmasq users detect potential security risks in real-time. Our first version uses Metmasq Maps to fetch data from Persimidistic Spotter, but in Phase 2, we plan to have a conduction that interacts with multiplatforms to automatically move funds from one wallet to another in case of an ongoing cyber attack. We utilize advanced machine learning algorithms to analyze smart contracts and identify potential vulnerabilities. In this demo, we showcase how Spotter Snap can connect to a contract with high security risk and display it to the user, so they know what type of security the contract they are about to sign has.</description></oembed>