Mobile device deployments introduce new threats to organizations, including advanced malware, data leakage, and the disclosure to attackers of enterprise secrets, intellectual property, and personally identifiable information assets. Further complicating matters, there simply are not enough people with the security skills needed to identify and manage secure mobile phone and tablet deployments.
By completing this course, you'll be able to differentiate yourself as someone prepared to evaluate the security of mobile devices, effectively assess and identify flaws in mobile applications, and conduct a mobile device penetration test - all critical skills to protect and defend mobile device deployments. The first section of SEC looks at the significant threats affecting mobile device deployments.
The section features a hands-on exercise to evaluate network traffic from a vulnerable mobile banking application. As a critical component of a secure deployment, we will examine the architectural and implementation similarities and differences between Android including Android 11 and Apple iOS Hands-on exercises will be used to interact with mobile devices running in a virtualized environment, including low-level access to installed application services and application data. Finally, we will examine how applications interact with each other, as application interaction creates an interesting attack surface for mobile penetration tests.
A very important threat for mobile devices is the stolen or lost device, as this can cause a major disclosure of sensitive information. In this course section we first examine how a device can be properly protected, and how someone might be able to circumvent those protections. Once the device has been accessed, we examine which information is available and how we can access it. On the other hand, gaining privileged access to a device is often needed to perform a security assessment, so we will take a look at the steps required to root an Android phone and jailbreak an iOS device.
At the end of the section, we will take a look at how mobile malware abuses the ecosystem to steal money or data or brick the device. One of the core skills you need as a mobile security analyst is the ability to evaluate the risks and threats a mobile app introduces to your organization. The lectures and hands-on exercises presented in this course section will enable you to use your analysis skills to evaluate critical mobile applications to determine the type of access threats and information disclosure threats they represent.
We will use automated and manual application assessment tools to statically evaluate iOS and Android apps. Initially, the applications will be easy to understand, but towards the end of the section we will dig into obfuscated applications that are far more difficult to dissect.
Finally, we will examine different kinds of application frameworks and how they can be analyzed with specialized tools. After having performed static analysis on applications in the previous course section, we now move on to dynamic analysis.
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A skilled analyst combines both static and dynamic analysis to evaluate the security posture of an application. Using dynamic instrumentation frameworks, we see how applications can be modified at runtime, how method calls can be intercepted and modified, and how we can have direct access to the native memory of the device.
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We will learn about Frida, Objection, Needle, Drozer, and method swizzling to fully instrument and examine both Android and iOS applications. By identifying these flaws we can evaluate the mobile phone deployment risk to the organization with practical and useful risk metrics. Whether your role is to implement the penetration test or to source and evaluate the penetration tests of others, understanding these techniques will help you and your organization identify and resolve vulnerabilities before they become incidents.
After having analyzed the applications both statically and dynamically, one component is still left untouched: the back-end server. In this course section we will examine how you can perform ARP spoofing attacks on a network in order to obtain a man-in-the-middle position, and how Android and iOS try to protect users from having their sensitive information intercepted. Next, we'll examine how you can set up a test device to purposely intercept the traffic in order to find vulnerabilities on the back-end server. We end the section by creating a RAT application that can be used during a red team assessment in order to target users and gain access to internal networks.
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In the final section of SEC we will pull together all the concepts and technology covered throughout the course in a comprehensive Capture-the-Flag event. In this hands-on exercise, you will examine multiple applications and forensic images to identify weaknesses and sources of sensitive information disclosure, and analyze obfuscated malware samples to understand how they work.
During this mobile security event you will put into practice the skills you have learned in order to evaluate systems and defend against attackers, simulating the realistic environment you will be prepared to protect when you get back to the office. GMOB certification holders have demonstrated knowledge about assessing and managing mobile device and application security, as well as mitigating against malware and stolen devices.
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Analyzing application network activity and static applications, assessing mobile application security. A properly configured system is required to fully participate in this course. If you do not carefully read and follow these instructions, you will likely leave the class unsatisfied because you will not be able to participate in hands-on exercises that are essential to this course.
Therefore, we strongly urge you to arrive with a system meeting all the requirements specified for the course.
In this course, students will use an advanced lab system to maximize the time spent on learning objectives and minimize setup and troubleshooting. Mobile phone voicemail messages may be accessed on a landline telephone with the entry of a personal identification number PIN. The service provider commonly sets a four digit default PIN that is rarely changed by the phone's owner. A hacker who knows both the phone number and the default PIN can access the voicemail messages associated with that service.
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To prevent subscribers from choosing PINs with weak password strength , some mobile phone companies now disallow the use of consecutive or repeat digits in voicemail PIN codes. During the mids, it was discovered that calls emanating from the handset registered against a voicemail account would be put straight through to voicemail without the need of a PIN. A hacker could use caller ID spoofing to impersonate a target's handset caller ID and thereby gain access to the associated voicemail without a PIN. Following controversies over phone hacking and criticism that was leveled at mobile service providers who allowed access to voicemail without a PIN, many mobile phone companies have strengthened the default security of their systems so that remote access to voicemail messages and other phone settings can no longer be achieved even via a default PIN.
Mobile phone microphones can be activated remotely by security agencies or telcos, without any need for physical access, as long as the battery has not been removed. Other techniques for phone hacking include tricking a mobile phone user into downloading malware which monitors activity on the phone.
Bluesnarfing is an unauthorized access to a phone via Bluetooth. There are flaws in the implementation of the GSM encryption algorithm that allow passive interception. In December , German researcher Karsten Nohl revealed that it was possible to hack into mobile phone voice and text messages on many networks with free decryption software available on the Internet.
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He blamed the mobile phone companies for relying on outdated encryption techniques in the 2G system, and said that the problem could be fixed very easily. Phone hacking, being a form of surveillance , is illegal in many countries unless it is carried out as lawful interception by a government agency. In the News International phone hacking scandal , private investigator Glenn Mulcaire was found to have violated the Regulation of Investigatory Powers Act He was sentenced to six months in prison in January In December , the Truth in Caller ID Act was signed into United States law , making it illegal "to cause any caller identification service to knowingly transmit misleading or inaccurate caller identification information with the intent to defraud, cause harm, or wrongfully obtain anything of value.
From Wikipedia, the free encyclopedia. This article is about the use of telephone technology to steal information. For the manipulation of telephone call routing, see Phreaking. The data obtained by The Times is anonymized and aggregated, meaning that the journalists see broad statistics compiled by geographic area — such as the median distance moved per day by devices in a census tract. The Times did not receive information about individual phones and did not see the path any particular phone took.
About 15 million people in the United States use the relevant apps daily and allow them to track their location regularly. Although the data excludes names, phone numbers and other identifying information, even anonymous location information can be revealing. The fact that companies are collecting, storing and selling location information about individuals at all presents risks. Different companies have widely varying approaches to handling the information, including deleting large portions of it for privacy reasons or selling the raw data with no protections. Location data on individuals is used for purposes like marketing and analysis for hedge funds and law enforcement.
There is no federal law in the United States that limits the use of location information in this way, although some have been proposed. Cuebiq said it collects and stores raw location data but does not sell it. Location data from smartphones is used for several purposes, most frequently for targeted advertising. For example, companies may show ads for sneakers to people who often go to a gym. Companies such as Apple and Google use similar information for mapping and traffic monitoring, or to tell people when stores are likely to be busy.
Makers of apps that sell the data say it allows them to give users their services without charging them money.