Entries Tagged "cell phones"

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Many Android Phones Vulnerable to Attacks Over Malicious Wi-Fi Networks

There’s a blog post from Google’s Project Zero detailing an attack against Android phones over Wi-Fi. From Ars Technica:

The vulnerability resides in a widely used Wi-Fi chipset manufactured by Broadcom and used in both iOS and Android devices. Apple patched the vulnerability with Monday’s release of iOS 10.3.1. “An attacker within range may be able to execute arbitrary code on the Wi-Fi chip,” Apple’s accompanying advisory warned. In a highly detailed blog post published Tuesday, the Google Project Zero researcher who discovered the flaw said it allowed the execution of malicious code on a fully updated 6P “by Wi-Fi proximity alone, requiring no user interaction.”

Google is in the process of releasing an update in its April security bulletin. The fix is available only to a select number of device models, and even then it can take two weeks or more to be available as an over-the-air update to those who are eligible. Company representatives didn’t respond to an e-mail seeking comment for this post.

The proof-of-concept exploit developed by Project Zero researcher Gal Beniamini uses Wi-Fi frames that contain irregular values. The values, in turn, cause the firmware running on Broadcom’s wireless system-on-chip to overflow its stack. By using the frames to target timers responsible for carrying out regularly occurring events such as performing scans for adjacent networks, Beniamini managed to overwrite specific regions of device memory with arbitrary shellcode. Beniamini’s code does nothing more than write a benign value to a specific memory address. Attackers could obviously exploit the same series of flaws to surreptitiously execute malicious code on vulnerable devices within range of a rogue access point.

Slashdot thread.

Posted on April 6, 2017 at 7:52 AMView Comments

Security Vulnerabilities in Mobile MAC Randomization

Interesting research: “A Study of MAC Address Randomization in Mobile Devices When it Fails“:

Abstract: Media Access Control (MAC) address randomization is a privacy technique whereby mobile devices rotate through random hardware addresses in order to prevent observers from singling out their traffic or physical location from other nearby devices. Adoption of this technology, however, has been sporadic and varied across device manufacturers. In this paper, we present the first wide-scale study of MAC address randomization in the wild, including a detailed breakdown of different randomization techniques by operating system, manufacturer, and model of device. We then identify multiple flaws in these implementations which can be exploited to defeat randomization as performed by existing devices. First, we show that devices commonly make improper use of randomization by sending wireless frames with the true, global address when they should be using a randomized address. We move on to extend the passive identification techniques of Vanhoef et al. to effectively defeat randomization in 96% of Android phones. Finally, we show a method that can be used to track 100% of devices using randomization, regardless of manufacturer, by exploiting a previously unknown flaw in the way existing wireless chipsets handle low-level control frames.

Basically, iOS and Android phones are not very good at randomizing their MAC addresses. And tricks with level-2 control frames can exploit weaknesses in their chipsets.

Slashdot post.

Posted on March 20, 2017 at 5:05 AMView Comments

Duress Codes for Fingerprint Access Control

Mike Specter has an interesting idea on how to make biometric access-control systems more secure: add a duress code. For example, you might configure your iPhone so that either thumb or forefinger unlocks the device, but your left middle finger disables the fingerprint mechanism (useful in the US where being compelled to divulge your password is a 5th Amendment violation but being forced to place your finger on the fingerprint reader is not) and the right middle finger permanently wipes the phone (useful in other countries where coercion techniques are much more severe).

Posted on January 26, 2017 at 2:03 PMView Comments

Security Risks of the President's Android Phone

Reports are that President Trump is still using his old Android phone. There are security risks here, but they are not the obvious ones.

I’m not concerned about the data. Anything he reads on that screen is coming from the insecure network that we all use, and any e-mails, texts, Tweets, and whatever are going out to that same network. But this is a consumer device, and it’s going to have security vulnerabilities. He’s at risk from everybody, ranging from lone hackers to the better-funded intelligence agencies of the world. And while the risk of a forged e-mail is real—it could easily move the stock market—the bigger risk is eavesdropping. That Android has a microphone, which means that it can be turned into a room bug without anyone’s knowledge. That’s my real fear.

I commented in this story.

EDITED TO ADD (1/27): Nicholas Weaver comments.

Posted on January 26, 2017 at 7:06 AM

Capturing Pattern-Lock Authentication

Interesting research—”Cracking Android Pattern Lock in Five Attempts“:

Abstract: Pattern lock is widely used as a mechanism for authentication and authorization on Android devices. In this paper, we demonstrate a novel video-based attack to reconstruct Android lock patterns from video footage filmed u sing a mobile phone camera. Unlike prior attacks on pattern lock, our approach does not require the video to capture any content displayed on the screen. Instead, we employ a computer vision algorithm to track the fingertip movements to infer the pattern. Using the geometry information extracted from the tracked fingertip motions, our approach is able to accurately identify a small number of (often one) candidate patterns to be tested by an adversary. We thoroughly evaluated our approach using 120 unique patterns collected from 215 independent users, by applying it to reconstruct patterns from video footage filmed using smartphone cameras. Experimental results show that our approach can break over 95% of the patterns in five attempts before the device is automatically locked by the Android system. We discovered that, in contrast to many people’s belief, complex patterns do not offer stronger protection under our attacking scenarios. This is demonstrated by the fact that we are able to break all but one complex patterns (with a 97.5% success rate) as opposed to 60% of the simple patterns in the first attempt. Since our threat model is common in day-to-day lives, our work calls for the community to revisit the risks of using Android pattern lock to protect sensitive information.

News article.

Posted on January 25, 2017 at 6:18 AMView Comments

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Sidebar photo of Bruce Schneier by Joe MacInnis.