{"id":22663261,"url":"https://github.com/muhammadparkar/ciphery","last_synced_at":"2025-03-29T09:14:17.458Z","repository":{"id":255485483,"uuid":"852260367","full_name":"muhammadparkar/ciphery","owner":"muhammadparkar","description":"A simple Streamlit app that analyses the algorithm used in a given ciphered database.","archived":false,"fork":false,"pushed_at":"2024-09-22T17:49:41.000Z","size":159,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-03T23:41:13.059Z","etag":null,"topics":["aes-encryption","cybersecurity","encryption-decryption","pyhton"],"latest_commit_sha":null,"homepage":"https://ciphery.streamlit.app/","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/muhammadparkar.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":".github/CODEOWNERS","security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-09-04T14:01:14.000Z","updated_at":"2024-09-22T17:49:44.000Z","dependencies_parsed_at":"2024-09-16T23:13:36.243Z","dependency_job_id":"fae1a1ad-3834-474b-bfb0-ef6cfdef3471","html_url":"https://github.com/muhammadparkar/ciphery","commit_stats":null,"previous_names":["momoswastaken/document-qa","muhammadparkar/ciphery"],"tags_count":0,"template":false,"template_full_name":"streamlit/document-qa-template","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/muhammadparkar%2Fciphery","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/muhammadparkar%2Fciphery/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/muhammadparkar%2Fciphery/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/muhammadparkar%2Fciphery/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/muhammadparkar","download_url":"https://codeload.github.com/muhammadparkar/ciphery/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246162151,"owners_count":20733357,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","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":["aes-encryption","cybersecurity","encryption-decryption","pyhton"],"created_at":"2024-12-09T12:17:54.721Z","updated_at":"2025-03-29T09:14:17.437Z","avatar_url":"https://github.com/muhammadparkar.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# 📄 Ciphery: Cipher Algorithm Analyzer\n\n**Ciphery**, a Streamlit-based web application designed to analyze and identify the encryption algorithm used in a given ciphered database. This tool combines cutting-edge machine learning techniques to support various cryptographic algorithms, making it a powerful asset for cybersecurity professionals and researchers.\n\n[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://document-question-answering-template.streamlit.app/)\n\n## Features\n\n- **AES Encryption**: Supports Advanced Encryption Standard (AES) analysis.\n- **Encryption \u0026 Decryption**: Analyze encrypted data and predict the cryptographic algorithm used.\n- **Machine Learning Integration**: Leverages **SVM** and **Neural Networks** to classify encryption techniques.\n- **TensorFlow \u0026 Streamlit**: Built with TensorFlow for deep learning and Streamlit for an interactive, user-friendly interface.\n- **Real-time Predictions**: Upload your ciphered database and get instant predictions.\n\n## Topics Covered\n\n- **Cybersecurity**: Focus on cryptographic algorithms and encryption methods.\n- **Python**: App built with Python, utilizing libraries like TensorFlow, Keras, and OpenCV.\n- **AES Encryption**: Analyze and decode databases encrypted with AES and other algorithms.\n- **Support Vector Machines (SVM)**: Machine learning-based classification.\n- **Neural Networks**: Deep learning models to enhance prediction accuracy.\n- **Streamlit**: A fast and flexible way to build the app interface.\n  \n## How to Use\n\n1. **Visit** [ciphery.streamlit.app](https://ciphery.streamlit.app).\n2. **Upload** your ciphered database or input encrypted text.\n3. **Analyze**: Let the app predict the encryption algorithm used (e.g., AES, RSA).\n4. **Results**: Instantly view the identified encryption algorithm and relevant details.\n\n## Technologies\n\n- **Python**: Core programming language.\n- **TensorFlow \u0026 Keras**: Machine learning and deep learning libraries.\n- **Streamlit**: For building interactive web apps.\n- **SVM**: Support Vector Machines for classification.\n- **OpenCV**: For any potential image-related processing.\n\n## How to run it on your own machine\n\n1. Install the requirements\n\n   ```\n   $ pip install -r requirements.txt\n   ```\n\n2. Run the app\n\n   ```\n   $ streamlit run streamlit_app.py\n   ```\n  \n## Contribute\n\nIf you're interested in contributing to this project, feel free to submit a pull request or raise an issue.\n\n---\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhammadparkar%2Fciphery","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmuhammadparkar%2Fciphery","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmuhammadparkar%2Fciphery/lists"}