Learning iOS Penetration Testing by Swaroop Yermalkar
Author:Swaroop Yermalkar [Yermalkar, Swaroop]
Language: eng
Format: azw3, epub
Publisher: Packt Publishing
Published: 2016-01-07T00:00:00+00:00
Data protection mechanism has been implemented by iOS, in which the keychain having sensitive data is protected with another layer of encryption and is tied to the user's passcode. Data protection mechanism is designed to protect the user's data in case a device is lost or stolen. So the encryption offered by the data protection API is dependent on the strength of the user's passcode. The problem is that, again, Apple does not force the user to set a password; users can use their devices without a passcode. Also, in most cases, users keep a simple four-digit password that could be easily cracked with bootrom vulnerability.
There are different conditions depending on which a developer can decide when a keychain item can be readable by an application. These various conditions are known as data protection accessibility constants that can be classified as:
kSecAttrAccessibleWhenUnlocked
kSecAttrAccessibleAfterFirstUnlock
kSecAttrAccessibleAlways
kSecAttrAccessibleWhenUnlockedThisDeviceOnly
kSecAttrAccessibleAfterFirstUnlockThisDeviceOnly
kSecAttrAccessibleAlwaysThisDeviceOnly
Download
Learning iOS Penetration Testing by Swaroop Yermalkar.epub
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.
Deep Learning with Python by François Chollet(12644)
Hello! Python by Anthony Briggs(9947)
OCA Java SE 8 Programmer I Certification Guide by Mala Gupta(9822)
The Mikado Method by Ola Ellnestam Daniel Brolund(9813)
A Developer's Guide to Building Resilient Cloud Applications with Azure by Hamida Rebai Trabelsi(9686)
Dependency Injection in .NET by Mark Seemann(9368)
Hit Refresh by Satya Nadella(8854)
Algorithms of the Intelligent Web by Haralambos Marmanis;Dmitry Babenko(8333)
The Kubernetes Operator Framework Book by Michael Dame(7920)
Sass and Compass in Action by Wynn Netherland Nathan Weizenbaum Chris Eppstein Brandon Mathis(7810)
Test-Driven iOS Development with Swift 4 by Dominik Hauser(7788)
Grails in Action by Glen Smith Peter Ledbrook(7719)
Exploring Deepfakes by Bryan Lyon and Matt Tora(7709)
Practical Computer Architecture with Python and ARM by Alan Clements(7654)
Implementing Enterprise Observability for Success by Manisha Agrawal and Karun Krishnannair(7618)
Robo-Advisor with Python by Aki Ranin(7607)
The Well-Grounded Java Developer by Benjamin J. Evans Martijn Verburg(7590)
Building Low Latency Applications with C++ by Sourav Ghosh(7490)
Svelte with Test-Driven Development by Daniel Irvine(7477)
