v33ru/awesome-connected-things-sec

A Curated list of Security Resources for all connected things

View on GitHub ↗Jump to charts ↓

Summary Information

Updated 46 minutes ago
Type:Curated List / Learning ResourceCategory(s):Embedded & IoTPenetration Testing & Red TeamSystems, Hardware & HPC
Added to GitGenius on September 19th, 2026
Created on May 18th, 2018
Open Issues & Pull Requests: 2 (+0)
GitHub issues: Enabled
Number of forks: 591
Total Stargazers: 3,541 (+0)
Total Subscribers: 109 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 9.0 days
Mean response time: 26.6 days
90th percentile: 44.2 days
Tracked items: 2

Most active contributors

Sign in to see contributor activity.

Related repositories by overlapping contributors

No overlapping-contributor repos identified yet.

Charts & Analytics

Fetching additional details & charts...

Issue Activity (beta)

Open issues: 0
New in 7 days: 0
Closed in 7 days: 0
Avg open age: N/A days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

No label distribution available yet.

Most active issues this week

Sign in to see which issues are moving.

Detailed Description

Awesome Connected Things Security Resources is a curated list of security resources for IoT, embedded, industrial, and automotive systems.

The project addresses the need for organized, accessible information about securing connected devices across multiple domains. It compiles research, exploitation techniques, and tools relevant to firmware analysis, wireless protocols, hardware hacking, and reverse engineering. The resource covers specialized areas including industrial control systems and SCADA, automotive security with focus on CAN bus and ECU systems, robotics security involving ROS and DDS, Bluetooth and BLE vulnerabilities, and RF security.

This list suits security researchers, penetration testers, and engineers working on IoT and embedded systems who need a centralized reference for learning materials and tools. It is particularly valuable for those targeting industrial control systems, automotive platforms, or wireless-enabled devices. The project organizes resources by attack vector and domain rather than serving as a tool itself, making it a reference guide rather than software to deploy.

The project maintains an open contribution model and actively accepts additions to its resource collection. Development activity shows ongoing curation with regular updates to keep the resource current across multiple security domains.