[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-290522-105":59,"doc-detail-290522-en":131},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","configuration-manual-hardware-and-software-requirements-for-machine-learning-phishing-url-detection","Configuration Manual - Hardware and Software Requirements for Machine Learning Phishing URL Detection","","Configuration guide describing hardware and software requirements for running machine learning workflows focused on phishing URL detection. Specifies CPU, memory, network stability, storage, and an operating system compatible setup, then lists key tools and libraries such as Python 3.10.12, Flask, NumPy, pandas, scikit-learn, and a custom URL feature extraction module. Includes dataset overview and practical pipeline steps: loading data, inspecting samples, checking missing values, and generating descriptive statistics to support model-ready preprocessing for malware URL analysis.",{"@graph":69,"@context":123},[70,84,106],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":30,"@type":76,"position":81},"https://docshare.wps.com/document/technology/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/configuration-manual-hardware-and-software-requirements-for-machine-learning-phishing-url-detection/290522/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/configuration-manual-hardware-and-software-requirements-for-machine-learning-phishing-url-detection/290522.png","ImageObject",300,407,{"name":92,"@type":93},"Noah","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-19","2026-09-17",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",13,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What hardware specifications does the manual list for running the ML workflow?","Question",{"text":113,"@type":114},"It specifies an HP Pavilion CPU, 12th Gen Intel Core i5-1235U at 1.30 GHz, 12th Gen memory (12th Gen Intel(R) Core(TM) i5-1235U 1.30 GHz shown in the table as requirements), stable internet, a compatible operating system, and 512 SSD storage.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Which software and Python libraries are included in the setup?",{"text":118,"@type":114},"It includes Python 3.10.12, Flask, NumPy, pandas, scikit-learn, mlxtend, requests, Flask routing utilities, pickle for model serialization, and smtplib for SMTP email sending, plus a custom URLFeatureExtraction/urlfeatureextraction module.",{"name":120,"@type":111,"acceptedAnswer":121},"What data preprocessing steps are described before modeling?",{"text":122,"@type":114},"It outlines dataset loading with pandas, previewing rows, checking and counting null values using isna().sum(), removing duplicates, and computing descriptive statistics with describe() to guide exploration and preprocessing.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},290522,1789641930,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":29,"category_name":30,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":130,"read_time":145},8796095462418,"https://ap-avatar.wpscdn.com/avatar/80000253c1241d02b47?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778826106357471780","Configuration Manual  \nThis document provides a comprehensive guide on using software and tools for project execution, including detailed instructions for software installation and a systematic approach to project success. The report details the specific hardware requirements needed to efficiently run Machine Learning algorithms.  \n1. Hardware Specifications  \n\n| Hardware Component | Requirements |\n| --- | --- |\n| Processor (CPU) | HP Pavilion |\n| Memory (RAM) | 12th Gen Intel(R) Core(TM) i5-1235U 1.30 GHz |\n| Network Connection | Stable internet connection |\n| Operating System | Compatible with various OS |\n| System type | 512 SSD |\n| ML Model (if applicable) | HP Pavilion |\n\n2. Software Specifications  \n\n| Software Component | Requirements |\n| --- | --- |\n| Python | Python 3.10.12 |\n| Flask | Flask web framework |\n| NumPy | Numerical computing library |\n| pandas | Data manipulation library |\n| scikit-learn | Machine learning library |\n| mlxtend | Machine learning library |\n| Requests | [HTTP library for making requests](HTTP library for making requests) |\n| URLFeatureExtraction | Custom Python module (dependencies may vary) |\n| pickle | Python object serialization library |\n| smtplib | SMTP email library for sending emails |\n| A web browser | For accessing and testing the web application |\n| An operating system | Compatible with the required software |\n| Visual studio version | Version: 1.85.0\u003Cbr>OS: Windows_NT x64 10.0.22621 |\n\n\n| Software Component | Requirements |\n| --- | --- |\n| Google Colab | 3.10.12 |\n\n3. Python Packages and Imports  \n1. Flask Packages:  \n• Flask: The Flask web framework is the core of the application, used for routing and handling [HTTP requests](HTTP requests).  \n• request: Routing and handling [HTTP requests](HTTP requests) are handled by the Flask web framework, which is the core of the application.  \n• render_template: Used to render HTML templates for web pages.  \n2. Data Manipulation and Machine Learning Packages:  \n• numpy and pandas: Used for data manipulation and handling.(Introduction to NumPy, n.d.)  \n• pickle: Used for loading a pre-trained machine learning model from a saved file.(Libraries in Python-GeeksforGeeks, n.d.)  \n• sklearn: Scikit-learn, a machine learning library, is used for making predictions with the loaded model.(Libraries in Python-GeeksforGeeks, n.d.)  \n• mlxtend: An extension library for scikit-learn that may contain additional functionality for machine learning.(Libraries in Python-GeeksforGeeks, n.d.)  \n3. Email Handling:  \n• email.mime: A module that facilitates the creation and management of email messages  \n• smtplib: Used for sending email messages via the Simple Mail Transfer Protocol (SMTP) .  \n4. Custom Modules:  \n• urlfeatureextraction: A custom Python module that is imported to perform URL feature extraction. The specific dependencies for this module may vary and should be installed separately.  \n5. Other General Imports:  \n• Various Python modules and functions for general functionality within the code, such as string manipulation and handling data structures.  \n4. Dataset Overview and Data Loading  \nThis study aims to tackle online criminal activities, with particular emphasis on URLs. Our approach to categorizing malicious URLs into five types is lightweight. Over 45,000 instances are included in the dataset, which provides a comprehensive understanding of online threats. We scrutinize the obfuscation techniques employed by hackers. Our research is aided by this dataset, which enables us to explore online security effectively.  \nData Loading  \nThe provided code snippet demonstrates data loading using the Pandas library. It displays the first 10 rows ofthe loaded data using the head method. This operation allows for quick exploration and understanding of the dataset's structure and content.  \n\\#data loading  \ndata =  \n[pd.read](pd.read) csv('/content/drive/MyDrive/phishing url classification/Data/final dataframe.csv')  \ndata.head(10)  \nFigure 1 Output of the","cbCaifqft8ZmhOBC","https://ap.wps.com/l/cbCaifqft8ZmhOBC","pdf",966396,15,"English","# Hardware Specifications\n# Software Specifications\n## Python Packages and Imports\n# Dataset Overview and Data Loading\n# Data Cleaning and Preprocessing","[{\"question\":\"What hardware specifications does the manual list for running the ML workflow?\",\"answer\":\"It specifies an HP Pavilion CPU, 12th Gen Intel Core i5-1235U at 1.30 GHz, 12th Gen memory (12th Gen Intel(R) Core(TM) i5-1235U 1.30 GHz shown in the table as requirements), stable internet, a compatible operating system, and 512 SSD storage.\"},{\"question\":\"Which software and Python libraries are included in the setup?\",\"answer\":\"It includes Python 3.10.12, Flask, NumPy, pandas, scikit-learn, mlxtend, requests, Flask routing utilities, pickle for model serialization, and smtplib for SMTP email sending, plus a custom URLFeatureExtraction/urlfeatureextraction module.\"},{\"question\":\"What data preprocessing steps are described before modeling?\",\"answer\":\"It outlines dataset loading with pandas, previewing rows, checking and counting null values using isna().sum(), removing duplicates, and computing descriptive statistics with describe() to guide exploration and preprocessing.\"}]","Configuration Manual - Hardware and Software Requirements for Machine Learning Phishing URL Detection | PDF",38]