As OSINTer is open-source we highly encourage any form of contributing. Should you want to contribute, then please get involved with this GitHub or get in contact either at [email protected] or on the Github repos (if you are reading this on Gitlab, then that is simply a downstream mirror).

OSINTer is an open-source intelligence gathering tool, designed to ease the intelligence gathering process by scraping reliable intelligence news sources, and presenting them in an easy to navigate UI, hosted as a web-application, to allow intelligence analysts to handle large amounts of intelligence.

OSINTer is split into multiple repositories for ease of development, listed below:

For a demonstration of how it looks and works, have a look at our demo-site at OSINTer.dk

The process of gathering cyber threat intelligence is only as successful as the investigators ability to identify relevant intelligence sources. Identifying relevant and reliable sources could often be a time-consuming task, as the CTI personnel would have to first locate the intelligence source, then read it to identify its relevance and usefulness as well as identify its formatting, and finally mark down all relevant details for usage in their report. This is time consuming and can be hit and miss depending on the skill and experience of the CTI personnel, and while products to combat this repetitive and time-consuming task, like Recorded Future, exists, these are often not only expensive, but also closed in nature, as they rarely integrate well with third-party utilities.

The goal of OSINTer is to build an extensible platform for collecting and organizing open-source intelligence in a way that easily integrates with third-party utilities and other pieces of open-source software.

OSINTer solves this problem through a system that automatically gathers information from known, reliable sources and organizes it in an easily accessible, user-friendly interface, allowing users to quickly and efficiently identify relevant intelligence. It archives the content from the threat intelligence sources, which is retrievable for the user for later analysis. The archived content is available as downloadable Markdown files that users can import into any Markdown editor for evaluation. It also enables user customization and integration with third-party utilities.

Additionally, OSINTer uses machine learning pipelines to better handle and organize the large volume of data collected, making it even more user-friendly and efficient.

The platform ultimately aims to take the burden of manual data collection off the user, freeing up time and resources while delivering a highly efficient, automated process for collecting valuable intelligence data.