Entries Tagged "spoofing"

Page 2 of 6

Impersonating iOS Password Prompts

This is an interesting security vulnerability: because it is so easy to impersonate iOS password prompts, a malicious app can steal your password just by asking.

Why does this work?

iOS asks the user for their iTunes password for many reasons, the most common ones are recently installed iOS operating system updates, or iOS apps that are stuck during installation.

As a result, users are trained to just enter their Apple ID password whenever iOS prompts you to do so. However, those popups are not only shown on the lock screen, and the home screen, but also inside random apps, e.g. when they want to access iCloud, GameCenter or In-App-Purchases.

This could easily be abused by any app, just by showing an UIAlertController, that looks exactly like the system dialog.

Even users who know a lot about technology have a hard time detecting that those alerts are phishing attacks.

The essay proposes some solutions, but I’m not sure they’ll work. We’re all trained to trust our computers and the applications running on them.

Posted on October 12, 2017 at 6:43 AM • View Comments

GPS Spoofing Attacks

Wired has a story about a possible GPS spoofing attack by Russia:

After trawling through AIS data from recent years, evidence of spoofing becomes clear. Goward says GPS data has placed ships at three different airports and there have been other interesting anomalies. “We would find very large oil tankers who could travel at the maximum speed at 15 knots,” says Goward, who was formerly director for Marine Transportation Systems at the US Coast Guard. “Their AIS, which is powered by GPS, would be saying they had sped up to 60 to 65 knots for an hour and then suddenly stopped. They had done that several times.”

All of the evidence from the Black Sea points towards a co-ordinated attempt to disrupt GPS. A recently published report from NRK found that 24 vessels appeared at Gelendzhik airport around the same time as the Atria. When contacted, a US Coast Guard representative refused to comment on the incident, saying any GPS disruption that warranted further investigation would be passed onto the Department of Defence.

“It looks like a sophisticated attack, by somebody who knew what they were doing and were just testing the system,” Bonenberg says. Humphreys told NRK it “strongly” looks like a spoofing incident. Fire Eye’s Brubaker, agreed, saying the activity looked intentional. Goward is also confident that GPS were purposely disrupted. “What this case shows us is there are entities out there that are willing and eager to disrupt satellite navigation systems for whatever reason and they can do it over a fairly large area and in a sophisticated way,” he says. “They’re not just broadcasting a stronger signal and denying service this is worse they’re providing hazardously misleading information.”

Posted on September 25, 2017 at 8:23 AM • View Comments

Acoustic Attack Against Accelerometers

Interesting acoustic attack against the MEMS accelerometers in devices like FitBits.

Millions of accelerometers reside inside smartphones, automobiles, medical devices, anti-theft devices, drones, IoT devices, and many other industrial and consumer applications. Our work investigates how analog acoustic injection attacks can damage the digital integrity of the capacitive MEMS accelerometer. Spoofing such sensors with intentional acoustic interference enables an out-of-spec pathway for attackers to deliver chosen digital values to microprocessors and embedded systems that blindly trust the unvalidated integrity of sensor outputs. Our contributions include (1) modeling the physics of malicious acoustic interference on MEMS accelerometers, (2) discovering the circuit-level security flaws that cause the vulnerabilities by measuring acoustic injection attacks on MEMS accelerometers as well as systems that employ on these sensors, and (3) two software-only defenses that mitigate many of the risks to the integrity of MEMS accelerometer outputs.

This is not that a big deal with things like FitBits, but as IoT devices get more autonomous—and start making decisions and then putting them into effect automatically—these vulnerabilities will become critical.

Academic paper.

Posted on April 4, 2017 at 6:23 AM • View Comments

Detecting Spoofed Messages Using Clock Skew

Two researchers are working on a system to detect spoofed messages sent to automobiles by fingerprinting the clock skew of the various computer components within the car, and then detecting when those skews are off. It’s a clever system, with applications outside of automobiles (and isn’t new).

To perform that fingerprinting, they use a weird characteristic of all computers: tiny timing errors known as “clock skew.” Taking advantage of the fact that those errors are different in every computer­—including every computer inside a car­—the researchers were able to assign a fingerprint to each ECU based on its specific clock skew. The CIDS’ device then uses those fingerprints to differentiate between the ECUs, and to spot when one ECU impersonates another, like when a hacker corrupts the vehicle’s radio system to spoof messages that are meant to come from a brake pedal or steering system.

Paper: “Fingerprinting Electronic Control Units for Vehicle Intrusion Detection,” by Kyong-Tak Cho and Kang G. Shin.

Abstract: As more software modules and external interfaces are getting added on vehicles, new attacks and vulnerabilities are emerging. Researchers have demonstrated how to compromise in-vehicle Electronic Control Units (ECUs) and control the vehicle maneuver. To counter these vulnerabilities, various types of defense mechanisms have been proposed, but they have not been able to meet the need of strong protection for safety-critical ECUs against in-vehicle network attacks. To mitigate this deficiency, we propose an anomaly-based intrusion detection system (IDS), called Clock-based IDS (CIDS). It measures and then exploits the intervals of periodic in-vehicle messages for fingerprinting ECUs. The thus-derived fingerprints are then used for constructing a baseline of ECUs’ clock behaviors with the Recursive Least Squares (RLS) algorithm. Based on this baseline, CIDS uses Cumulative Sum (CUSUM) to detect any abnormal shifts in the identification errors—a clear sign of intrusion. This allows quick identification of in-vehicle network intrusions with a low false-positive rate of 0.055%. Unlike state-of-the-art IDSs, if an attack is detected, CIDS’s fingerprinting of ECUs also facilitates a rootcause analysis; identifying which ECU mounted the attack. Our experiments on a CAN bus prototype and on real vehicles have shown CIDS to be able to detect a wide range of in-vehicle network attacks.

Posted on July 20, 2016 at 7:26 AM • View Comments

Security for Vehicle-to-Vehicle Communications

The National Highway Traffic Safety Administration (NHTSA) has released a report titled “Vehicle-to-Vehicle Communications: Readiness of V2V Technology for Application.” It’s very long, and mostly not interesting to me, but there are security concerns sprinkled throughout: both authentication to ensure that all the communications are accurate and can’t be spoofed, and privacy to ensure that the communications can’t be used to track cars. It’s nice to see this sort of thing thought about in the beginning, when the system is first being designed, and not tacked on at the end.

Posted on September 22, 2014 at 6:03 AM • View Comments

1 2 3 4 … 6

Sidebar photo of Bruce Schneier by Joe MacInnis.