Hybrid ML Phishing Detection System

@sajjadtaghvaeifr

Hello, I trust you're doing well. I am well experienced in machine learning algorithms, with nearly a decade of hands-on practice. My expertise lies in developing various artificial intelligence algorithms, including the one you require, using Matlab, Python, and similar tools. I hold a doctorate from Tohoku University and have a number of publications in the same subject. My portfolio, which showcases my past work, is available for your review. Your project piqued my interest, and I would be delighted to be part of it. Let's connect to discuss in detail. Warm regards. please check my portfolio link: https://www.freelancer.com/u/sajjadtaghvaeifr

@mattafareed4848

Hello I can develop the PhishVision core detection module with ML-based URL feature extraction, configurable heuristic rules, model training/evaluation (accuracy, precision, recall, ROC-AUC), and clean documented code with README for seamless integration into your security stack. I’ll ensure the full pipeline is tested end-to-end, including the provided sample URL, and deliver a maintainable, production-ready solution. Regards Muhammad

@rakhshanz3

With a strong background in AI development and nearly two decades of experience in software engineering, I am well-equipped to handle the intricacies of your project. I have successfully designed and implemented various machine learning models throughout my career, including generative AI applications, NLP systems, and predictive analytics tools. In line with your project requirements, I offer expertise in feature extraction, training workflows,Another key advantage of working with me is my versatility. Not only can I effectively complete your immediate deliverables - development of a core detection module followed by thorough training, evaluation, and robust documentation - but I also have the potential to support any future expansion plans such as browser plug-in integration or live dashboarding that you may require. Let's discuss how we can work together to give PhishVision an edge in combating phishing attempts!

@KrisuTechkul

Krishna here from Delhi. As an AI-focused software development and data science company, my team and I at Krishna Kant have built a formidable reputation for crafting bespoke AI solutions that address complex business challenges with precision and measurable results - your PhishVision project being a prime example. With our deep expertise in machine learning, we are confident in delivering a hybrid ML-based phishing detection system of the highest caliber that'll meet your specific framework requirements. We have a proven track record of executing sophisticated tasks, similar to what you've outlined in this project. Our skills, including advanced data extraction, model training, accuracy evaluation, and rule-based implementation sans blacklists or regex libraries, directly align with your needs. Furthermore, our hands-on experience in flexible algorithm development ensures that the rules we create can be easily adjusted without disrupting the codebase. In addition to delivering clean and well-documented Python code that smoothly integrates into your security stack, we will also provide comprehensive feature-extraction scripts and a transparent train / test workflow showcasing accuracy metrics, such as precision, recall and ROC-AUC.

@lalitdeveloper7

Hi, I can develop the complete PhishVision phishing detection module using Python, Machine Learning, Scikit-learn, Feature Engineering, URL Analysis, and Cybersecurity. I have experience building ML pipelines, classification models, and lightweight rule-based systems for security applications. The solution will include URL feature extraction, model training and evaluation, a configurable heuristic engine, performance metrics, and well-documented, reproducible code with a clear README. The architecture will be lightweight, easy to extend, and ready for integration into your larger security platform. Please let me know further. Thanks.

@Vsion2

Welcome to professional Python development services! Hi there, I'm Alema, a Python expert programmer who strives for clear code in atmospheric, numerical weather prediction, physics, and all other seminal fields. I'm ready to provide you with high-quality services. I have completed 350+ projects with a 100% Positive Rating. If you are looking for Quality work, look no further. Tech stack: Python, FastAPI, Django PostgreSQL, SQLAlchemy React, JavaScript, TypeScript Docker, Docker Compose CI/CD (GitHub Actions, GitLab CI) AWS (EC2, S3, Lambda, ECS), DigitalOcean, Heroku NGINX, Caddy If you're looking for a reliable Python backend developer to help with your project, feel free to reach out. Your faithfully. Eng. Alema Akter

@umairinayat1

As an AI/ML Engineer with a solid 3+ years of experience, I bring to the table a proven track record of building production-grade systems. Spanning across NLP, Computer Vision and backend API Development, my experience could not be more aligned with the needs of your project. Specifically, for Computer Vision, I've achieved notable milestones like optimizing object detection models on live CCTV feeds and developing a VisionAssist Android app for visually impaired users. These accomplishments showcase my extensive understanding of ML lifecycles from data preprocessing all the way to real-time deployment. Nothing excites me more than exercising my expertise on complex challenges, like what you've defined here. Extracting and utilizing features like URL length and special characters for your phishing detection system will not only be well within my capabilities but also a chance to exhibit my deep understanding of ML techniques. As an indicative example of my skills in working with rule-based layers, I've successfully developed heuristic engines that don't rely on blacklists or regex libraries - exactly as you require.

@PyMLExpert1

reviewed your requirements for PhishVision across the provided project details. Building a lightweight, hybrid security module that cleanly pairs statistical machine learning with external, decoupled heuristic logic is right up my alley. I can deliver this clean, well-documented Python implementation within your seven-day timeline and your specified budget framework. ​For the core execution, I will build a dedicated Python parsing module focused entirely on structural metrics, specifically target length and special character density. I will use your provided Paytm login test case to build and validate the pipeline end-to-end, ensuring a flawless green pass through the system. From there, I will utilize a clean, benchmark phishing dataset to train a highly efficient classifier optimized for speed, delivering a training and validation workflow script that outputs a clear performance summary detailing Accuracy, Precision, Recall, and ROC-AUC metrics. ​Per your technical constraints, the post-model layer will rely on pure heuristic conditions only, meaning zero heavy regex libraries or rigid blacklists. To keep it fully dynamic, I will decouple the thresholds into a clean external configuration file, such as a JSON or YAML setup, allowing you to tweak safety margins on the fly without touching a single line of core Python code.

@mussaibb7

I've reviewed the job description and identified key areas to focus on. The primary concern for this project lies in ensuring the reliability of the extraction and output pipeline under real-world inputs, rather than just clean demo cases. To address this, I'll leverage my expertise in computer vision and machine learning to design a robust pipeline that can handle diverse inputs. Based on my previous work, such as the GPT-4 Clinical Document Automation Pipeline, I've successfully improved turnaround times by 75% and delivered reliable systems across multiple model classes. I believe this experience positions me well to tackle the challenges in this project. My execution plan involves the following: - Developing a reliable Python pipeline for extracting features and flagging phishing sites - Creating a requirements file and a README/setup guide for reproducibility and ease of use - Implementing confidence handling and fallback mechanisms to ensure accurate results Before commencing delivery, I'd like to clarify the scope, the first milestone, and the most critical technical constraint to ensure alignment with your expectations.

@mubashir021

Hello, I'm Mubashir, a Full-Stack Developer, Engineer, and UI/UX Specialist with 6+ years of experience in machine learning and security solutions. I understand your PhishVision project requires a dedicated developer who can effectively combine statistical models with a heuristic rule engine for phishing site detection. Deliverables: - A hybrid machine learning model trained on a dataset with accuracy, precision, recall, and ROC-AUC metrics - A lightweight heuristic engine with configurable rules to complement model predictions - Thoroughly documented code with setup and extension guidelines PROCESS: - Develop feature-extraction scripts to analyze key URL elements - Implement the hybrid machine learning model - Create the heuristic engine with configurable rules - Document the code and provide a setup guide - Test the pipeline against unseen URLs My Portfolio: https://www.freelancer.com/u/mubashir021 Even if you're still considering options, I can provide a FREE detailed quotation and project proposal with a suggested roadmap at no cost. Drop me a message and let's get this sorted. Mubashir Ahmed

@mallacharyl6

I can help you with this project. I have worked on machine learning projects involving feature engineering, model training, evaluation, and deployment-ready code, so I understand the importance of building something that is both accurate and easy to maintain. I like the fact that you're combining machine learning with a rule-based layer rather than relying entirely on model predictions. It makes the system easier to understand, debug, and improve over time. I can build the URL feature extraction module, train and evaluate the model, and develop a configurable heuristic engine where thresholds can be adjusted without modifying the source code. The code will be properly structured and documented, and I'll provide the training workflow, evaluation metrics, README, and all supporting files required to run and extend the project. I can also suggest suitable phishing datasets if you haven't finalized one yet. Before we start, I'd like to discuss whether you have any preferred ML algorithms or performance targets in mind. If this project is expected to grow into a browser extension or dashboard later, I can keep the design flexible for future integration.

@aliahmeds7

I’ve reviewed your requirements for PhishVision, and I’m confident I can build a lightweight yet robust phishing detection pipeline that combines machine-learning classification with a configurable heuristic rule engine, exactly as specified. 1. Feature Engineering Module URL parsing pipeline (standard Python libraries only) Extraction of: URL length Count and ratio of special characters Structural properties (path depth, domain patterns if applicable) Clean transformation layer for ML compatibility 2. Machine Learning Model Lightweight classifier (e.g., Logistic Regression / Random Forest depending on dataset behavior) Training pipeline with: Train/test split Cross-validation where appropriate Evaluation metrics: Accuracy Precision Recall ROC-AUC I will either use a well-known public phishing dataset or guide you to a reliable dataset source if you prefer consistency with your own data.

@Christophero0506

Hi, This project aligns well with my experience, and I'd be happy to help. I focus on delivering professional, reliable work with strong attention to detail and clear communication throughout the project. My goal is always to provide a solution that is both effective and easy to maintain. I look forward to learning more about your requirements. Regards, Christopher Olivier

@Ingjuanguzmane

Hello! I can help you with Hybrid ML Phishing Detection System. My budget is 20000.0 USD for 5 days. I will review the requirements, define the implementation steps, and deliver a working result with clear progress updates. Let's discuss the details.

@kirank760

Hello, I have experience in Python, Machine Learning, and Data Science. I can build the complete phishing detection system including URL feature extraction, ML model training, evaluation metrics, and a configurable rule-based engine. I will provide clean, documented, and integration-ready code along with a README and testing workflow. Looking forward to working with you. Best Regards, Kiran Kumar

@ziedb4

Hello, Hybrid ML + rule engine for URL classification is well within my Python ML work — I build feature-extraction pipelines and train/evaluate classification models regularly. For PhishVision I'd deliver: - Feature extraction: URL length, special character ratios, subdomain depth, TLD entropy, and other lexical signals extracted into a clean feature vector - ML model: XGBoost or Random Forest trained on a public phishing dataset (e.g. PhiUSIIL or UCI), with accuracy, precision, recall, and ROC-AUC reported on a held-out test set - Heuristic rule engine: configurable thresholds (no regex libraries) chained after the model, with clear comments on which conditions fire and why - End-to-end pipeline validated on your Paytm sample URL - README covering setup, assumptions, and how to extend the rules Timeline: 5 days.

@bizvivo

Greetings, With a robust background in statistics and data science, complemented by a prolific academic writing portfolio, I am well-equipped to tackle complex data-driven challenges. My expertise is rooted in the successful completion of numerous PhD-level thesis projects, where I employed advanced statistical methodologies to extract meaningful insights from diverse datasets. My professional journey has been marked by collaborations with various companies, leading to projects that demanded high-level quantitative analysis and data interpretation. These projects enabled me to delve into trend analysis, temporal behaviour studies, and comparative assessments of data variables. I possess proficiency in a suite of analytical tools, including SPSS, R, Python, OpenCV, WEKA, Tableau, Power BI, and Excel. My skill set extends to sophisticated techniques such as image processing, machine learning, deep learning, artificial intelligence, natural language processing, hypothesis testing, forecasting, T-tests, and ANOVA, among others. I am eager to engage in discussions that leverage my comprehensive skill set to provide innovative solutions in AI and ML domains. Warm regards, Radhika

@Geetam00

As an AI development expert specializing in ML and Python, I'm more than equipped to tackle your Hybrid ML Phishing Detection System project. With my proven track record in creating robust algorithms and integrated systems, I'll build the core detection module of your PhishVision with precision and excellence. Rest assured, the feature-extraction scripts, train/test workflows, lightweight heuristic engine, and a detailed README you're expecting will all be delivered on time. My past projects have consistently exceeded clients' expectations, reflecting my dedication to quality and client satisfaction. For instance, my prior work in securing cross-platform applications with AI-driven models showcases my knack for marrying cutting-edge technology with real-world security challenges. With my complete understanding of the project requirements and a decade long experience which spanned over 1000+ projects, I’ve no doubt that successful completion of this milestone will translate into a seamless transition to any follow-on work such as browser plug-in integration or live dashboarding. From renowned startups to global enterprises, I've served in plethora of verticals enabling me to bring invaluable industry expertise. Together, let's build a product that truly safeguards user’s data from these evolving online threats!

@babara432

As an experienced and passionate developer specializing in Machine Learning and fluent in Python, I am well-equipped to take on this important project. You are looking for someone who can craft a reliable, efficient, and dynamic solution for phishing detection, and I believe that my skills and expertise make me the ideal candidate. Given that security is paramount in today's digital landscape, I fully understand the critical role your PhishVision project plays in safeguarding users' data. Drawing on my proficiency with ML techniques, I will derive essential URL features - such as length and special character use - and translate them into clear, well-documented Python code as per your requirements. Moreover, showcasing my ability to manage complex tasks carefully and efficiently, I will develop a configurable rule-based layer to further strengthen your solution. Throughout the project, I'll provide detailed train/test workflows that analyze accuracy, precision, recall, and ROC-AUC on a dataset of your choosing or one I recommend.