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Description
DeviceShelf provides a comprehensive mapping of your local network, ensuring that the entire map is stored securely on your own device. A single scan reveals detailed information about each device that responds, including vendor information, hostname, operating system, and device type, along with insights into open ports and their implications for security.
It simultaneously scans all adapters, identifies devices using MAC OUI, DNS, mDNS/Bonjour, NetBIOS, TTL, and DHCP fingerprints, and enumerates open TCP and UDP ports while detecting services, culminating in a prioritized security report that highlights exposed services like Telnet, RDP, ADB, Docker API, or Redis, along with information about default credentials, weak TLS configurations, and known CVEs, each accompanied by recommended fixes and risk scores ranging from 0 to 100. In addition, it continuously monitors network activity, tracking when devices connect or disconnect and providing real-time metrics on uptime, latency, and bandwidth usage for every device connected to the network.
There’s no need for an account, as DeviceShelf operates without telemetry or cloud synchronization, ensuring that scan results remain confined to the originating computer; moreover, its optional AI assistant can function using either your own API key or a local model. Furthermore, a single license grants access to desktop, mobile, and a 24/7 server edition, making it a versatile solution for network management.
Description
Fing Device Intelligence and Knowledge provides comprehensive visibility into your connected ecosystem. The cornerstone of digital products lies in Device Recognition. Using just the MAC address, Fing is capable of identifying both wireless and wired devices across home, office, or enterprise networks by their type, manufacturer, model, and operating system (including name and version). With over a decade of experience in the market, Fing has established a strong brand presence, specializing in device identification technology specifically for the Internet of Things (IoT). To enhance device recognition accuracy, Fing utilizes crowdsourcing, which helps validate and refine its data. Additionally, machine learning techniques are employed to analyze this crowdsourced information. Fing has created an innovative patented algorithm that can identify devices based solely on MAC address analysis, differentiating itself from simple Vendor lookup methods. By choosing Fing, you can achieve exceptional device recognition at a significantly lower cost compared to developing an in-house solution from the ground up. This approach not only accelerates your time-to-market but also minimizes ongoing maintenance expenses. Ultimately, Fing empowers organizations to efficiently manage their digital environments while optimizing resources.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Stackreaction
Pricing Details
EUR 59, one-time purchase
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
DeviceShelf
Founded
2026
Country
Switzerland
Website
deviceshelf.app
Vendor Details
Company Name
Fing
Founded
2009
Country
Ireland
Website
www.fing.com/business