{"id":21004376,"url":"https://github.com/fr0gger/jupyter-collection","last_synced_at":"2025-04-05T00:07:03.253Z","repository":{"id":49764389,"uuid":"473898894","full_name":"fr0gger/jupyter-collection","owner":"fr0gger","description":"Collection of Jupyter Notebooks by @fr0gger_","archived":false,"fork":false,"pushed_at":"2025-03-24T01:37:54.000Z","size":6178,"stargazers_count":159,"open_issues_count":2,"forks_count":35,"subscribers_count":8,"default_branch":"main","last_synced_at":"2025-03-28T23:06:40.993Z","etag":null,"topics":["cybersecurity","malware-analysis","python","threat-intelligence"],"latest_commit_sha":null,"homepage":"https://jupyter.securitybreak.io","language":"HTML","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/fr0gger.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":"2022-03-25T06:46:27.000Z","updated_at":"2025-03-24T01:37:58.000Z","dependencies_parsed_at":"2023-09-27T10:21:17.188Z","dependency_job_id":"5652ccf8-6a6a-49c0-b709-c71418305ee7","html_url":"https://github.com/fr0gger/jupyter-collection","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fr0gger%2Fjupyter-collection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fr0gger%2Fjupyter-collection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fr0gger%2Fjupyter-collection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/fr0gger%2Fjupyter-collection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/fr0gger","download_url":"https://codeload.github.com/fr0gger/jupyter-collection/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247266563,"owners_count":20910836,"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":["cybersecurity","malware-analysis","python","threat-intelligence"],"created_at":"2024-11-19T08:34:46.595Z","updated_at":"2025-04-05T00:07:03.230Z","avatar_url":"https://github.com/fr0gger.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/fr0gger/jupyter-collection.git/HEAD)\n\n# Notebooks\nThis repository is a collection of some of my Jupyter Notebook applied to cybersecurity and threat intelligence. If you want to play with the code you can run it [here](https://mybinder.org/v2/gh/fr0gger/jupyter-collection.git/HEAD)\n\u003cbr /\u003e\u003cbr /\u003e\n\n### [BlackBasta Leak Analysis and Hybrid RAG](https://github.com/fr0gger/jupyter-collection/blob/main/bb_leak_tr/README.md)\nThis is a Marimo notebook that demonstrates how to analyze the BlackBasta data leak. It also uses a hybrid search RAG to retrieve the most relevant information from the leak.\n\u003cbr /\u003e *Published: 22 February 2025* \u003cbr /\u003e\n\n### [I-SOON Data Leak Analysis using OCR and Generative AI](https://fr0gger.github.io/jupyter-collection/ISOON_DataLeak_OCR_GenAI/ISOON_ChinLeaks.html)\nThis notebook demonstrates how to analyze a data leak in Chinese from PNG files leveraging python, OCR, Translation and Generative AI.\n\u003cbr /\u003e *Published: 21 February 2024* \u003cbr /\u003e\n\n### [Retrieved Augmented Generation (RAG) and ATT\u0026CK](https://fr0gger.github.io/jupyter-collection/RAG_ATT%26CK/RAG_ATT%26CK.html)\nThis notebook demonstrates how to construct a Retrieval-Augmented Generation (RAG) model using a Large Language Model (LLM), integrated with the ATT\u0026CK framework, to create your own MITRE assistant powered by LLM.\n\u003cbr /\u003e *Published: 03 November 2023* \u003cbr /\u003e\n\n### [Threat Report Summarization Using LLMs and Few-Shot Learning](https://fr0gger.github.io/jupyter-collection/Threat_Report_Summarization/Threat_Summarization_Few_shot_learning.html)\nThis notebook is an experiment designed to demonstrate the application of few-shot learning for summarizing threat reports and generating a mind map of the key findings.\n\u003cbr /\u003e *Published: 27 September 2023* \u003cbr /\u003e\n\n### [Pulsedive Lookup Using MSTICpy](https://fr0gger.github.io/jupyter-collection/pulsedive_lookup/PulsediveLookup.html)\nThis notebook demonstrates how to use MSTICpy to query Pulsedive. \n\u003cbr /\u003e *Published: 10 March 2023* \u003cbr /\u003e\n\n### [ELK Threat Hunting](https://fr0gger.github.io/jupyter-collection/ELK_Threat_Hunting/ELK_Threat_Hunting.html)\nThis notebook demonstrates how to connect to an ElasticSearch instance to retrieve the data and analyse them. The dataset used here is from MalwareBazaar.\n\u003cbr /\u003e *Published: 10 September 2022* \u003cbr /\u003e\n\n### [Malware Bazaar Lookup Using MSTICpy](https://fr0gger.github.io/jupyter-collection/mblookup/MBLookup.html)\nThis notebook demonstrates how to use MSTICpy to query the Malware Bazaar database. \n\u003cbr /\u003e *Published: 12 August 2022* \u003cbr /\u003e\n\n### [10 Python Libs for Malware Analysis and Reverse Engineering](https://fr0gger.github.io/jupyter-collection/10_pythonlib_for_RE/10_Python_Lib_for_Re_.html)\nThis notebook demonstrates 10 python libraries useful for malware analysis and reverse engineering. \n\u003cbr /\u003e *Published: 08 June 2022* \u003cbr /\u003e\n\n### [Conti Leaks Analysis](https://fr0gger.github.io/jupyter-collection/Conti_Leaks_Analysis/Conti_Leaks_Notebook_TR.html)\nThis notebook demonstrates a simple way to analyze the Conti Leaks chat logs using Python and [msticpy](https://msticpy.readthedocs.io/en/latest/). It proposes a methodology for threat researchers and allows to extract relevant information using Python and visualization.\n\u003cbr /\u003e *Published: 02 June 2022* \u003cbr /\u003e\n\n### [VT Domain Hunting using MSTICpy](https://fr0gger.github.io/jupyter-collection/vt_domain_hunting/VT_Domain_hunting.html)\nNotebook to hunt for domains relationship using [msticpy](https://msticpy.readthedocs.io/en/latest/).\n\u003cbr /\u003e *Published: 19 May 2022* \u003cbr /\u003e\n\n### [IoCExtractor using MSTICpy](https://fr0gger.github.io/jupyter-collection/iocextractor/IOCExtractor_.html)\nPOC to extract Indicator of Compromised from url using [msticpy](https://msticpy.readthedocs.io/en/latest/).\n\u003cbr /\u003e *Published: 31 March 2022* \u003cbr /\u003e\n\n### [Strings Similarity Experimentation](https://fr0gger.github.io/jupyter-collection/strings_similarity/Strings_Extraction.html)\nThis notebook shows some experiementation with strings similarity using Jaccard distance, hashing and visualization. \n\u003cbr /\u003e *Published: 25 July 2020*\n\n\n# Support or Contact\n\nYou can contact me on Twitter: [@fr0gger_](https://twitter.com/fr0gger_)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffr0gger%2Fjupyter-collection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffr0gger%2Fjupyter-collection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffr0gger%2Fjupyter-collection/lists"}