Threat hunting/detecting using KQL queries

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Note

Jan. 27th: After almost a year of contributions, this repository is undergoing a heavy rebuild to meet the current community landscape and also, a far more better contextualization in order to keep contributing.

This repository is an effort to provide ready-made detection and hunting queries (and more) in order to help analysts and threat hunters harness the power of KQL in Microsoft Sentinel and Microsoft Defender XDR.

KQL Training
KQL Basics
Threat Hunting Basics
KQL Community

Please:

Read the Disclaimer below.
If you found a useful query here, consider giving a ⭐ to this repository.

Enjoy, and please reach out for any concerns and suggestions: cyb3rmik3.

KQL Training

Microsoft Security Operations Analyst Associate (SC-200)

If Microsoft Sentinel and Microsoft 365 Defender are your daily to-go tools, you should consider following Microsoft's Certified Security Operations Analyst course (Exam code SC-200). You will be acquainted with Microsoft's wide range of Security products and how you can use them to provide data, security signal and analyze alerts and incidents.

Be that as it may, you can jump into Microsoft's course that focus on KQL:

Hands-On KQL for Threat Hunting and Detection Engineering

Mehmet Ergene (aka the cyb3rmonk founded the blu raven academy where he offers the following KQL training courses, including hands-on experience in a hyper-realistic lab environment.

Rod Trent's MustLearnKQL

Rod Trent created the MustLearnKQL series which is a set of blog posts and Youtube videos comprising an effort to discuss and educate about the power and simplicity of the Kusto Query Language.

CTF-a-like learning

KC7 Cyber is a new way to learn cybersecurity that's hands-on, fun, and engaging.
Kusto Detective Agency is a set of challenges that is designed to help you learn the KQL.

Incident Response in the Microsoft Cloud

Invictus created the Incident Response in the Microsoft Cloud training which covers how to do incident response in Microsoft Azure and Microsoft 365. This includes KQL basics, but also KQL querypacks and more advanced use cases and KQL queries for cloud attacks.

KQL Basics

Choose appropriate table

Data is organized into a hierarchy of databases, tables and columns, similar to SQL. For example, the DeviceNetworkEvents table in the advanced hunting schema contains information about network connections and related events.

where operator

where filters on a specific predicate

DeviceNetworkEvents
| where LocalIP == "192.168.0.1"

contains/has

Contains: Looks for any substring match
Has: Looks for a specific word (better performance)

DeviceNetworkEvents
| where DeviceName has "ComputerName"

ago

Returns the time offset relative to the time the query executes

DeviceNetworkEvents
| where Timestamp > ago(1d)

project

Selects the columns to include in the order specified

DeviceNetworkEvents
| where Timestamp > ago(1d)
| where DeviceName has "ComputerName"
| project Timestamp, ActionType, RemoteIP, RemotePort, RemoteUrl

Threat Hunting Basics

Microsoft Threat Hunting

Threat hunting should be a continual process. We start at the top of our cycle with our Hypothesis. Our Hypothesis helps us plan out what we are going to hunt for, which requires us to understand where we're going to hunt and how we'll do it. This means we need to understand the data we have, the tools we have, the expertise we have, and how to work with them. The hunting cycle doesn't stop when we execute the hunt. There are still several phases we need to conduct throughout the life cycle, including responding to anomalies. Even if we don't find an active threat, there will be activities to perform. More.

MITRE ATT&CK

The approach to hunting has two components: Characterization of malicious activity, and hunt Execution. These components should be ongoing activities, continuously updated based on new information about adversaries and terrain. More.

KQL Community

Contributing and sharing within the community is paramount as it fosters a collaborative environment where we all can exchange insights, challenges, and collectively advance our expertise. Following, you will find some of my bookmarked community resources.

KQL Search

KQL Search is a project created by Ugur Koc which aggregates GitHub repos from KQL community members that contribute queries for Microsoft Sentinel and Microsoft Defender XDR. This repo is also included along with other respectful members effort to build better defenses with the Microsoft Security stack.

Bookmarks

Warning

The KQL queries in this GitHub repository are provided for informational purposes only. Users are solely responsible for their usage and should exercise caution. It is advised to thoroughly understand and test the queries before implementing them in a production environment.

wagneroliveira2000 / kql-threat-hunting-queries Goto Github PK

kql-threat-hunting-queries's Introduction