Project Description: PhiKitA Phishing Kit Attacks Dataset for Phishing Websites Identification (FELIPE)
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Overview
The “PhiKitA Phishing Kit Attacks Dataset” is a comprehensive dataset designed to support research and development in the area of phishing website identification. Phishing attacks, a significant cybersecurity threat, rely on deceptive practices to trick users into revealing sensitive information. This dataset, referred to as FELIPE (Phishing Kit Detection via Integrated Patterns and Analysis), provides a wide array of data points collected from various phishing kits and associated websites to enhance detection algorithms and methodologies.
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Objectives
The primary objectives of the FELIPE dataset are as follows:
1. Phishing Detection Enhancement: Facilitate the development of machine learning models and algorithms that can accurately identify phishing websites.
2. Understanding Phishing Techniques: Provide insights into the evolution of phishing kit tactics and techniques used by attackers to evade detection.
3. Promoting Collaboration: Serve as a shared resource for researchers, cybersecurity professionals, and institutions, fostering collaboration in the fight against phishing attacks.
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Dataset Composition
The PhiKitA dataset comprises several components that collectively provide a rich resource for analysis and algorithm training:
1. Phishing URLs: A diverse collection of URLs linked to identified phishing websites, categorized by their type and behavioral patterns.
2. Content Features: HTML snapshots of the phishing websites, including scripts, form actions, and deceptive elements.
3. Phishing Kit Signatures: Metadata related to the phishing kits used, including signatures and the technologies employed (e.g., JavaScript obfuscation, iframe usage).
4. Historical Data: Time-stamped data on phishing attempts, providing insights into trends and patterns over time.
5. User Interaction Logs: Simulated user interaction data with phishing sites to analyze the effectiveness of various phishing techniques and design choices.
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Data Sources
The dataset is compiled from multiple sources, including:
– Phishing Forums: Scraped data from underground forums where phishing kits are sold and discussed.
– Security Reports: Contributions from cybersecurity organizations and researchers who track phishing activities.
– Web Crawling: Automated processes that identify and catalog newly deployed phishing websites based on preset heuristics.
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Methodology
The creation and curation of this dataset followed stringent methodologies to ensure quality, reliability, and ethical compliance:
– Data Cleaning: Redundant and irrelevant data points were removed, ensuring the dataset remains focused and relevant.
– Anonymization: All sensitive information was anonymized to protect user privacy and comply with data protection regulations.
– Validation: Each entry was verified against multiple sources to ensure its authenticity and relevance to ongoing phishing threats.
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Use Cases
The PhiKitA dataset is aimed primarily at:
– Academic Research: Providing a foundation for studies focused on phishing detection techniques and behavioral analytics.
– Machine Learning Development: Enabling the training of supervised and unsupervised learning models to categorize and identify phishing sites effectively.
– Cybersecurity Defense: Assisting organizations in fortifying their defenses against phishing attacks through better detection mechanisms.
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Accessibility
The dataset is made available under a Creative Commons license, allowing both academic and commercial entities to utilize it for research and development. Users can access the dataset through our dedicated platform, where they can also contribute feedback and improvements.
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Future Work
Future enhancements to the FELIPE dataset include:
– Real-Time Updates: Incorporating a mechanism for continuous updates to provide the most current phishing threats.
– Advanced Analytics Tools: Developing tools that utilize the dataset for interactive analysis and visualization of phishing trends.
– Community Contributions: Encouraging cybersecurity researchers to contribute their findings and datasets, creating a living resource for the community.
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Conclusion
The “PhiKitA Phishing Kit Attacks Dataset for Phishing Websites Identification” (FELIPE) represents a significant advancement in the field of cybersecurity. By providing a structured and detailed repository of phishing kit data, it aims to empower researchers and industry professionals to combat the persistent threat of phishing more effectively. Through ongoing collaboration and innovation, FELIPE will continuously evolve to meet the needs of the cybersecurity community.
