A systems and methods for determining a risk score for lookalike domains are disclosed. A plurality of candidate domains are generated from a seed domain using a genetic algorithm that applies deception techniques. Registered candidate domains are analyzed by multiple independent scoring engines that produce an internal deception score, a reputation score, a visual similarity score based on rendered webpage analysis, and a favicon similarity score. The individual scores are dynamically weighted and combined using conditional logic to calculate a final risk score. The weighting adapts based on signal strength, including prioritizing visual cloning indicators or malicious infrastructure signals. Unregistered domains are assigned reduced priority. When the final risk score exceeds a predefined threshold, an alert is generated. The disclosed approach integrates lexical, infrastructure, and content-based signals to reduce false positives and improve detection of sophisticated phishing domains.
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