MISPbot
MISPbot
What is MISPbot?
The MISPbot is a simple tool to allow users to interact with MISP via Mastodon or Twitter.
The MISPbot is a simple tool to allow users to interact with MISP via Mastodon or Twitter.
The MISP playbooks at https://github.com/MISP/misp-playbooks address common use-cases encountered by SOCs, CSIRTs or CTI teams to detect, react and analyse intelligence received by MISP. The project started early 2023 and as we’re now ending the year it’s time to look back at its current state and get an early glimpse of the future features.
The MISP to Microsoft Sentinel integration allows you to upload indicators from MISP to Microsoft Sentinel. It relies on PyMISP to get indicators from MISP and an Azure App to connect to Sentinel.
The MISP to Azure / Sentinel integration allows you to upload indicators from MISP to Microsoft Sentinel. It relies on PyMISP to get indicators from MISP and an Azure App and Threat Intelligence Data Connector in Azure.
When you receive threat intelligence from different sources you quickly realise there is a big difference in the quality of the received information. Where some organisations go to great length to ensure their events are accurate, complete and contextualised, other organisations use different standards. Some of these differences are caused by particular use cases but can also be caused by human errors or maturity growing pains. Regardless of what’s causing these differences, as a consumer, it costs time to wade through events and manually curate them.
There are a lot of websites that regularly publish reports on new threats, campaigns or actors with useful indicators, references and context information. Unfortunately only a few publish information in an easily accessible and structured format, such as a MISP-feed. As a result, we often find ourself manually scraping these sites, and then copy-pasting this information in new MISP events. These tedious tasks are time-consuming and certainly not the most interesting aspect of CTI-work.
MISP objects are containers around contextually linked attributes. They support analysts in grouping related attributes and describing the relations that exist between the data points in a threat event. Combining these objects and relations is something that can then be used to represent the story of what is being told in the threat event.
A previous post covered how to do MISP service monitoring with OpenNSM. Because having different options is good, this post covers how to achieve similar results with Cacti. For those not familiar with Cacti: it is a network graphing solution designed to harness the power of RRDTool’s data storage and graphing functionality.
MISP Galaxies and Clusters are an easy way to add context to data. Compared to the relatively simple concept of tags and taxonomies, they allow you to add more complex data structures. There is already a large list of galaxies and clusters available as a community effort, and directly accessible within MISP, but it’s always possible these do not fully address your needs.
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