WebbWe describe version 2.0 of our benchmarking framework, PhishBench. With the addition of the ability to dynamically load features, metrics, and classifiers, our new and improved framework allows researchers to rapidly evaluate new features and methods for machine-learning based phishing detection. Webb27 jan. 2024 · PhishBench is a first in the field of benchmarking phishing related research and incorporates thorough and systematic evaluation and feature comparison. We use …

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WebbExtracts multiple features from a single url :param features: The features to extract :type features: List [FeatureClass] :param url: The url to extract the features from :type url: URLData. Returns. feature_values ( Dict) – The extracted feature values. extraction_times ( Dict) – The time it took to extract each feature. Webb- Used NLP-related frameworks (TextAttack and Phishbench 2.0) to run attacks on custom classifiers. Trained HuggingFace, scikit-learn, ... dictee vocale windows

PhishBench/feature_extraction.rst at master - GitHub

Webb3 dec. 2024 · Also, they developed a new benchmarking framework named ‘PhishBench’. The ‘PhishBench’ had been utilizing to assess and contrast the current phishing features. Besides, they employed the PhishBench to examine the scalability and robustness of phishing methods published in previous literature. WebbWe perform an in-depth, systematic benchmarking study and evaluation of phishing features on diverse and extensive datasets. We propose a new taxonomy of features … WebbPhishBench,whichcanhelpresearchersinthe˝eldofphish-ingdetectionbyprovidingatemplatetodevelopnewmethods and features as well as a … dictee theresa