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0x4d31/awesome-threat-detection

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TLDR

A curated list of tools, frameworks, datasets, and learning resources for threat detection and threat hunting in defensive cybersecurity.

Mindmap

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  root((awesome-threat-detection))
    What it is
      Curated resource list
      Defensive security
    Tools
      Log collection platforms
      Network monitoring
      Email security
    Frameworks
      MITRE ATT&CK
      Detection rules
    Learning
      Datasets
      Training courses
      Lab environments
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Things people build with this

USE CASE 1

Find open-source platforms for collecting logs and firing security alerts across your infrastructure.

USE CASE 2

Discover detection rule sets aligned to MITRE ATT&CK techniques to know what suspicious behavior looks like.

USE CASE 3

Access practice datasets and hands-on lab environments to build threat hunting skills.

USE CASE 4

Find podcasts, courses, and blog resources to stay current on defensive security research.

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

This repository is a curated list of resources for threat detection and threat hunting, two related practices in defensive cybersecurity. Threat detection is the process of identifying when an attacker or malicious software is active inside a network or system. Threat hunting is a more proactive version of the same idea: rather than waiting for an automated alert, a security analyst actively searches through logs and system data looking for signs of compromise that automated tools may have missed. The list is organized into several sections. Tools covers open-source software that helps with detection work, broken down by category: platforms that collect logs and fire alerts, tools for monitoring individual computers, tools for monitoring network traffic, and tools for monitoring email. A separate section covers detection rules, which are written patterns that describe what suspicious activity looks like, so that detection systems know what to flag. Beyond tools, the list includes links to frameworks (structured models for understanding attacker behavior, most notably the MITRE ATT&CK framework, a widely used catalog of attack techniques), research papers, blog posts, datasets for practicing detection skills, and guides focused on specific environments such as Windows, macOS, and DNS. There are also sections for podcasts, newsletters, videos, training courses, and hands-on lab environments. A separate section covers threat simulation, which is the practice of safely recreating attacker behavior in a controlled environment to test whether your detection tools actually catch it. Tools and resources for building and running those simulations are listed there. The full README is longer than what was shown.

Copy-paste prompts

Prompt 1
I'm building a threat detection system for a small company network. Which open-source SIEM platforms should I evaluate first and what detection rules should I start with?
Prompt 2
Using the MITRE ATT&CK framework, help me write a detection rule for lateral movement via pass-the-hash that I can load into an open-source log analysis platform.
Prompt 3
I want to set up a threat simulation lab to test whether my detection tools catch common attacks. What tools should I start with and what is a good first simulation exercise?
Prompt 4
Help me build a 30-day reading plan for a new security analyst to learn threat hunting fundamentals, covering both theory and hands-on practice resources.
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