Virtual Booth

Stolen credentials distributed via Telegram channels represent a critical and escalating cybersecurity threat. Existing monitoring solutions rely on periodic breach databases and manual channel curation, limiting their timeliness and coverage. These approaches also lack mechanisms to quantify the severity of individual exposed credentials. LeakGuard addresses these gaps through an automated pipeline that continuously scrapes Telegram channels, autonomously discovers new threat sources from open-source intelligence repositories and message content, and applies a novel three-component Credential Risk Score encompassing account privilege, channel audience size, and password uniqueness. The resulting system delivers near-real-time, prioritised threat intelligence to analysts, enabling efficient and evidence-based remediation decisions.