{"id":50987433,"url":"https://github.com/shantoroy/attacker-belief-update","last_synced_at":"2026-06-19T21:30:19.590Z","repository":{"id":365638207,"uuid":"330534050","full_name":"shantoroy/attacker-belief-update","owner":"shantoroy","description":"This app can fingerprint Operating Systems using Bayes Net and Machine Learning as well as can simulate an Attacker's Intuition.","archived":false,"fork":false,"pushed_at":"2021-05-18T13:17:02.000Z","size":8123,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2026-06-18T08:28:56.753Z","etag":null,"topics":["bayesian-inference","docker","python","streamlit"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/shantoroy.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2021-01-18T02:29:22.000Z","updated_at":"2025-03-02T04:52:40.000Z","dependencies_parsed_at":null,"dependency_job_id":null,"html_url":"https://github.com/shantoroy/attacker-belief-update","commit_stats":null,"previous_names":["shantoroy/attacker-belief-update"],"tags_count":null,"template":false,"template_full_name":null,"purl":"pkg:github/shantoroy/attacker-belief-update","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shantoroy%2Fattacker-belief-update","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shantoroy%2Fattacker-belief-update/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shantoroy%2Fattacker-belief-update/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shantoroy%2Fattacker-belief-update/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shantoroy","download_url":"https://codeload.github.com/shantoroy/attacker-belief-update/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shantoroy%2Fattacker-belief-update/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34549338,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-19T02:00:06.005Z","response_time":61,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"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":["bayesian-inference","docker","python","streamlit"],"created_at":"2026-06-19T21:30:18.919Z","updated_at":"2026-06-19T21:30:19.583Z","avatar_url":"https://github.com/shantoroy.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Adversarial-Belief-Update\nThis app can fingerprint Operating Systems using Bayes Net and Machine \\\nLearning as well as can simulate an Attacker's Intuition (Belief Update) \\\ninside a compromised network\n\n\n## Primary Features: \n1. Real-life OS Fingerprinting using:\n    * Bayes Network-based Knowledge Base\n    * Multi-Class Classification Algorithms\n2. Simulated Visualization of Node belief updates\n3. Simulation of the updated belief for all nodes in a network\n\n## Setup\n### Run without docker\nsimply run using the following command\n```\n$ streamlit run main.py\n```\n\n### Run using docker\nFirst, build the container using the `Dockerfile`\n```\n$ docker build -f Dockerfile -t app:belief-update .\n```\n\nThen run the container image using the following code\n```\n$ docker run -p 8501:8501 app:belief-update\n```\n\n\n## Related Resources\n\n- [**awesome-streamlit**](https://github.com/MarcSkovMadsen/awesome-streamlit): List of Awesome Streamlit Apps\n- [**Streamlit App Gallery**](https://www.streamlit.io/gallery): Official Streamlit Apps Gallery\n- [**Best-of**](https://best-of.org): Best-of lists with Python and other languages\n- [**Best-of Streamlit**](https://github.com/jrieke/best-of-streamlit): Best-of list of Streamlit Apps","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshantoroy%2Fattacker-belief-update","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshantoroy%2Fattacker-belief-update","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshantoroy%2Fattacker-belief-update/lists"}