{"id":18927594,"url":"https://github.com/chathushi-r/safe-net","last_synced_at":"2026-04-05T23:32:48.884Z","repository":{"id":239131367,"uuid":"798287518","full_name":"chathushi-r/Safe-Net","owner":"chathushi-r","description":"This repository contains the source codes for a web application, SafeNet, a malware detection tool that allows users to scan urls/PE files with the aid of machine learning models to check if it is malicious or benign.","archived":false,"fork":false,"pushed_at":"2024-10-22T11:00:52.000Z","size":36392,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-06-01T11:07:26.511Z","etag":null,"topics":["flask","html-css-javascript","mysql-database","node-js","python","web-application"],"latest_commit_sha":null,"homepage":"","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/chathushi-r.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-05-09T13:29:32.000Z","updated_at":"2025-03-12T15:31:22.000Z","dependencies_parsed_at":"2024-10-22T20:25:56.239Z","dependency_job_id":null,"html_url":"https://github.com/chathushi-r/Safe-Net","commit_stats":null,"previous_names":["chathushi-r/safe-net"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/chathushi-r/Safe-Net","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chathushi-r%2FSafe-Net","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chathushi-r%2FSafe-Net/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chathushi-r%2FSafe-Net/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chathushi-r%2FSafe-Net/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/chathushi-r","download_url":"https://codeload.github.com/chathushi-r/Safe-Net/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/chathushi-r%2FSafe-Net/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31454197,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-05T21:22:52.476Z","status":"ssl_error","status_checked_at":"2026-04-05T21:22:51.943Z","response_time":75,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["flask","html-css-javascript","mysql-database","node-js","python","web-application"],"created_at":"2024-11-08T11:19:40.665Z","updated_at":"2026-04-05T23:32:48.868Z","avatar_url":"https://github.com/chathushi-r.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"SafeNet is a web application that acts as a malware detection tool for scanning URLS/PE files. Users are allowed to register, login and scan PE files or URLs to check if it is malicious/benign.\nIn this implementation, ML classification models are constructed to aid in the processing of the system's two key functionalities: URL scanning and PE file scanning. This application connects to ML models via a Flask API, which allows for URL/PE file scanning. The Python script provides the fundamental scanning functionality, with Flask serving as the intermediary for communication between the web backend and the ML models. In addition, a database is connected that will store all the user details and scanned history of PE files/URLs.\n\nThis application will allow the user to signup and login as a client/admin. Thereafter, the user will be directed to a dashboard that will consist of user details, user history and the options to upload urls/PE files for scanning.\nAfter a PE file/url is uploaded for a scan, the system provides a result whether the it is malicious/benign.\nIf the PE file/url is malicious, the system provides the following details:\n- Timestamp of the scan\n- General safety recommendations on how to handle malicious files/urls\n- General information resources for the user to gain some understanding on malicious files/urls.\nIf the PE file/url is benign:\n- Timestamp of the scan\n- For a safe url, a clickable link to direct to that uploaded safe url.\n- PE file features and URL features\n\nTechnologies used:\n- To build the web front-end: HTML/CSS/JavaScript\n- To build the web back-end: Nodejs, Express, Flask, Python\n- To build the database: MySQL\n- To build the ML models for scanning: Python \n\nIDEs used:\n- Visual Studio Code\n- Jupyter Notebook\n- Google Colab\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchathushi-r%2Fsafe-net","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchathushi-r%2Fsafe-net","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchathushi-r%2Fsafe-net/lists"}