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TraceScope system automates phishing URL triage with AI agents

Researchers have developed TraceScope, an interactive system designed to combat sophisticated phishing campaigns that evade traditional URL classifiers. The system uses a sandboxed agent to navigate potentially malicious websites, capturing behavior for analysis. A separate agent then verifies the findings against a checklist and generates a report with indicators of compromise. TraceScope demonstrated strong performance in evaluations, achieving 0.94 precision and 0.78 recall on real-world phishing URLs, outperforming existing methods. AI

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IMPACT Enhances phishing detection capabilities by providing a more robust and interactive method for analyzing suspicious URLs.

RANK_REASON Academic paper detailing a new system for URL triage and phishing detection.

Read on arXiv cs.AI →

TraceScope system automates phishing URL triage with AI agents

COVERAGE [1]

  1. arXiv cs.AI TIER_1 · Jeff Huang ·

    TraceScope: Interactive URL Triage via Decoupled Checklist Adjudication

    Modern phishing campaigns increasingly evade snapshot-based URL classifiers using interaction gates (e.g., checkbox/slider challenges), delayed content rendering, and logo-less credential harvesters. This shifts URL triage from static classification toward an interactive forensic…