<?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/aa07839f77ae4fda8adeea46e5569e50&quot; frameborder=&quot;0&quot; width=&quot;1108&quot; height=&quot;831&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>831</height><width>1108</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>831</thumbnail_height><thumbnail_width>1108</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/aa07839f77ae4fda8adeea46e5569e50-ab4a62e31e3676b1.gif</thumbnail_url><duration>138.9221</duration><title>Standardizing Vulnerability Reporting and help with report triage 🔒</title><description>In this video, I discuss the increasing number of fake and vulnerability reports due to the rise of LLMs and AI. To address this, we are developing a standardized format for reproducible demonstrations of common vulnerabilities like buffer overflows and SQL injection, which will streamline the bug reporting process through an integrated bot. I showcase our web application that identifies vulnerabilities and assists the triaging team by confirming whether a reported issue is valid or not, significantly reducing their workload. I invite your feedback on this initiative, as we aim to enhance our approach to vulnerability reporting. Thank you for your attention!</description></oembed>