MMLanScan is an open source project for iOS that helps you scan your network and shows the available devices and their MAC Address, hostname and Brand name.

Note

You can find a NativeScript wrapper of MMLanScan here!

Screenshot

Features

• Scans and finds available hosts in your network
• Shows IP Address
• Shows MAC Address
• Shows Brand of device based on MAC Address
• Shows hostname (if available)
• Scan any subnet (not only /24)
• Gives you the ability to update the OUI (MAC-Brand mappings) plist file. Check in MainPresenter.m for more details

Manual Installation

• Drag n Drop the MMLanScan folder in your project.

How to use it (Objective C)

Import MMLANScanner in your controller

#import "MMLANScanner.h"

Add the MMLANScannerDelegate (Protocol) to your controller

@interface YourViewController () <MMLANScannerDelegate>

Declare a property

@property(nonatomic,strong)MMLANScanner *lanScanner;

Initialize with delegate

self.lanScanner = [[MMLANScanner alloc] initWithDelegate:self];

Start the scan

[self.lanScanner start];

Implement the delegates methods to receive events

- (void)lanScanDidFindNewDevice:(MMDevice*)device;
- (void)lanScanDidFinishScanningWithStatus:(MMLanScannerStatus)status;
- (void)lanScanProgressPinged:(NSInteger)pingedHosts from:(NSInteger)overallHosts;
- (void)lanScanDidFailedToScan;

How to use it (Swift)

After Drag n Drop the MMLanScan folder in your Swift project Xcode will ask you to create a bridging header. Create the bridging header and copy paste the following between #define and #endif:

#import "MMLANScanner.h"
#import "LANProperties.h"
#import "PingOperation.h"
#import "MMLANScanner.h"
#import "MACOperation.h"
#import "MacFinder.h"
#import "MMDevice.h"

Add the MMLANSCannerDelegate (Protocol) to your controller

class MyVC: NSObject, MMLANScannerDelegate 

Declare the variable for the MMLanScanner

var lanScanner : MMLANScanner!

Initialise the MMLanScanner (after self is initialised)

self.lanScanner = MMLANScanner(delegate:self)

And finally start the scan:

self.lanScanner.start()

Or stop the scan

self.lanScanner.stop()

Implement the delegates methods to receive events

func lanScanDidFindNewDevice(_ device: MMDevice!)
func lanScanDidFinishScanning(with status: MMLanScannerStatus)
func lanScanProgressPinged(_ pingedHosts: Float, from overallHosts: Int)
func lanScanDidFailedToScan()

Project Demo

You can find project demos available in Swift or Objective-C. Feel free to copy/use them for your product. Note: Project demos are written using software design pattern MVVM

How it works

MMLanScan works like the classic network scanner. It first ping every host in the network in order to built the ARP table and then is trying to get the MAC Address for each host. If a MAC Address is found then it's considered that the host exist in the network.

Libraries used to built MMLanScan

• Apples SimplePing
• My MacFinder

Technical Stuff

MMLanScan V2.0 is now using NSOperation and NSOperationQueueManager. Scanning time, and UI interactions are improved compared to V1.0. Also V1.0 was ignoring hosts that didn't replied to pings. V2.0 is not and the result is now accurate.

TODO

If anyone would like to help:

• Convert the [OUI] (https://standards.ieee.org/develop/regauth/oui/oui.txt) text in a dictionary so we can map MAC Address with vendor (Hint: The Regex to catch the first line with MAC Address and vendor: [A-F0-9]{2}-[A-F0-9]{2}-[A-F0-9]{2}\s*\(hex\)\s*[A-Za-z\.\, \-]+)
• Make it work in a background thread. Apple's SimplePing has issues when it comes to GCD (it's built on C libraries and it seems their callbacks won't work with GCD)
• Get hostname from IP address method is not working
• Anything that you feel that will improve this library.

More Details

Visit my article for MMLanScan for more details

Authors

• Michael Mavris

Credits

• Thanks @jpalten for several tweeks and features
• Issue for MAC Addresses on iOS 10.2 has been resolved thanks to [@mochasoft] (https://github.com/mochasoft)
• Wrapper for NativeScript developed by @toddanglin

License

Copyright Miksoft 2017

Licensed under the MIT License