Cybersecurity Visuals

The Hewlett Foundation just announced its top five ideas in its Cybersecurity Visuals Challenge. The problem Hewlett is trying to solve is the dearth of good visuals for cybersecurity. A Google Images Search demonstrates the problem: locks, fingerprints, hands on laptops, scary looking hackers in black hoodies. Hewlett wanted to go beyond those tropes.

I really liked the idea, but find the results underwhelming. It’s a hard problem.

Hewlett press release.

Posted on October 20, 2020 at 6:29 AM0 Comments

Split-Second Phantom Images Fool Autopilots

Researchers are tricking autopilots by inserting split-second images into roadside billboards.

Researchers at Israel’s Ben Gurion University of the Negev … previously revealed that they could use split-second light projections on roads to successfully trick Tesla’s driver-assistance systems into automatically stopping without warning when its camera sees spoofed images of road signs or pedestrians. In new research, they’ve found they can pull off the same trick with just a few frames of a road sign injected on a billboard’s video. And they warn that if hackers hijacked an internet-connected billboard to carry out the trick, it could be used to cause traffic jams or even road accidents while leaving little evidence behind.

[…]

In this latest set of experiments, the researchers injected frames of a phantom stop sign on digital billboards, simulating what they describe as a scenario in which someone hacked into a roadside billboard to alter its video. They also upgraded to Tesla’s most recent version of Autopilot known as HW3. They found that they could again trick a Tesla or cause the same Mobileye device to give the driver mistaken alerts with just a few frames of altered video.

The researchers found that an image that appeared for 0.42 seconds would reliably trick the Tesla, while one that appeared for just an eighth of a second would fool the Mobileye device. They also experimented with finding spots in a video frame that would attract the least notice from a human eye, going so far as to develop their own algorithm for identifying key blocks of pixels in an image so that a half-second phantom road sign could be slipped into the “uninteresting” portions.

The paper:

Abstract: In this paper, we investigate “split-second phantom attacks,” a scientific gap that causes two commercial advanced driver-assistance systems (ADASs), Telsa Model X (HW 2.5 and HW 3) and Mobileye 630, to treat a depthless object that appears for a few milliseconds as a real obstacle/object. We discuss the challenge that split-second phantom attacks create for ADASs. We demonstrate how attackers can apply split-second phantom attacks remotely by embedding phantom road signs into an advertisement presented on a digital billboard which causes Tesla’s autopilot to suddenly stop the car in the middle of a road and Mobileye 630 to issue false notifications. We also demonstrate how attackers can use a projector in order to cause Tesla’s autopilot to apply the brakes in response to a phantom of a pedestrian that was projected on the road and Mobileye 630 to issue false notifications in response to a projected road sign. To counter this threat, we propose a countermeasure which can determine whether a detected object is a phantom or real using just the camera sensor. The countermeasure (GhostBusters) uses a “committee of experts” approach and combines the results obtained from four lightweight deep convolutional neural networks that assess the authenticity of an object based on the object’s light, context, surface, and depth. We demonstrate our countermeasure’s effectiveness (it obtains a TPR of 0.994 with an FPR of zero) and test its robustness to adversarial machine learning attacks.

Posted on October 19, 2020 at 6:28 AM19 Comments

US Cyber Command and Microsoft Are Both Disrupting TrickBot

Earlier this month, we learned that someone is disrupting the TrickBot botnet network.

Over the past 10 days, someone has been launching a series of coordinated attacks designed to disrupt Trickbot, an enormous collection of more than two million malware-infected Windows PCs that are constantly being harvested for financial data and are often used as the entry point for deploying ransomware within compromised organizations.

On Sept. 22, someone pushed out a new configuration file to Windows computers currently infected with Trickbot. The crooks running the Trickbot botnet typically use these config files to pass new instructions to their fleet of infected PCs, such as the Internet address where hacked systems should download new updates to the malware.

But the new configuration file pushed on Sept. 22 told all systems infected with Trickbot that their new malware control server had the address 127.0.0.1, which is a “localhost” address that is not reachable over the public Internet, according to an analysis by cyber intelligence firm Intel 471.

A few days ago, the Washington Post reported that it’s the work of US Cyber Command:

U.S. Cyber Command’s campaign against the Trickbot botnet, an army of at least 1 million hijacked computers run by Russian-speaking criminals, is not expected to permanently dismantle the network, said four U.S. officials, who spoke on the condition of anonymity because of the matter’s sensitivity. But it is one way to distract them at least for a while as they seek to restore operations.

The network is controlled by “Russian speaking criminals,” and the fear is that it will be used to disrupt the US election next month.

The effort is part of what Gen. Paul Nakasone, the head of Cyber Command, calls “persistent engagement,” or the imposition of cumulative costs on an adversary by keeping them constantly engaged. And that is a key feature of CyberCom’s activities to help protect the election against foreign threats, officials said.

Here’s General Nakasone talking about persistent engagement.

Microsoft is also disrupting Trickbot:

We disrupted Trickbot through a court order we obtained as well as technical action we executed in partnership with telecommunications providers around the world. We have now cut off key infrastructure so those operating Trickbot will no longer be able to initiate new infections or activate ransomware already dropped into computer systems.

[…]

We took today’s action after the United States District Court for the Eastern District of Virginia granted our request for a court order to halt Trickbot’s operations.

During the investigation that underpinned our case, we were able to identify operational details including the infrastructure Trickbot used to communicate with and control victim computers, the way infected computers talk with each other, and Trickbot’s mechanisms to evade detection and attempts to disrupt its operation. As we observed the infected computers connect to and receive instructions from command and control servers, we were able to identify the precise IP addresses of those servers. With this evidence, the court granted approval for Microsoft and our partners to disable the IP addresses, render the content stored on the command and control servers inaccessible, suspend all services to the botnet operators, and block any effort by the Trickbot operators to purchase or lease additional servers.

To execute this action, Microsoft formed an international group of industry and telecommunications providers. Our Digital Crimes Unit (DCU) led investigation efforts including detection, analysis, telemetry, and reverse engineering, with additional data and insights to strengthen our legal case from a global network of partners including FS-ISAC, ESET, Lumen’s Black Lotus Labs, NTT and Symantec, a division of Broadcom, in addition to our Microsoft Defender team. Further action to remediate victims will be supported by internet service providers (ISPs) and computer emergency readiness teams (CERTs) around the world.

This action also represents a new legal approach that our DCU is using for the first time. Our case includes copyright claims against Trickbot’s malicious use of our software code. This approach is an important development in our efforts to stop the spread of malware, allowing us to take civil action to protect customers in the large number of countries around the world that have these laws in place.

Brian Krebs comments:

In legal filings, Microsoft argued that Trickbot irreparably harms the company “by damaging its reputation, brands, and customer goodwill. Defendants physically alter and corrupt Microsoft products such as the Microsoft Windows products. Once infected, altered and controlled by Trickbot, the Windows operating system ceases to operate normally and becomes tools for Defendants to conduct their theft.”

This is a novel use of trademark law.

Posted on October 15, 2020 at 6:01 AM18 Comments

Upcoming Speaking Engagements

This is a current list of where and when I am scheduled to speak:

The list is maintained on this page.

Posted on October 14, 2020 at 12:15 PM0 Comments

Google Responds to Warrants for “About” Searches

One of the things we learned from the Snowden documents is that the NSA conducts “about” searches. That is, searches based on activities and not identifiers. A normal search would be on a name, or IP address, or phone number. An about search would something like “show me anyone that has used this particular name in a communications,” or “show me anyone who was at this particular location within this time frame.” These searches are legal when conducted for the purpose of foreign surveillance, but the worry about using them domestically is that they are unconstitutionally broad. After all, the only way to know who said a particular name is to know what everyone said, and the only way to know who was at a particular location is to know where everyone was. The very nature of these searches requires mass surveillance.

The FBI does not conduct mass surveillance. But many US corporations do, as a normal part of their business model. And the FBI uses that surveillance infrastructure to conduct its own about searches. Here’s an arson case where the FBI asked Google who searched for a particular street address:

Homeland Security special agent Sylvette Reynoso testified that her team began by asking Google to produce a list of public IP addresses used to google the home of the victim in the run-up to the arson. The Chocolate Factory [Google] complied with the warrant, and gave the investigators the list. As Reynoso put it:

On June 15, 2020, the Honorable Ramon E. Reyes, Jr., United States Magistrate Judge for the Eastern District of New York, authorized a search warrant to Google for users who had searched the address of the Residence close in time to the arson.

The records indicated two IPv6 addresses had been used to search for the address three times: one the day before the SUV was set on fire, and the other two about an hour before the attack. The IPv6 addresses were traced to Verizon Wireless, which told the investigators that the addresses were in use by an account belonging to Williams.

Google’s response is that this is rare:

While word of these sort of requests for the identities of people making specific searches will raise the eyebrows of privacy-conscious users, Google told The Register the warrants are a very rare occurrence, and its team fights overly broad or vague requests.

“We vigorously protect the privacy of our users while supporting the important work of law enforcement,” Google’s director of law enforcement and information security Richard Salgado told us. “We require a warrant and push to narrow the scope of these particular demands when overly broad, including by objecting in court when appropriate.

“These data demands represent less than one per cent of total warrants and a small fraction of the overall legal demands for user data that we currently receive.”

Here’s another example of what seems to be about data leading to a false arrest.

According to the lawsuit, police investigating the murder knew months before they arrested Molina that the location data obtained from Google often showed him in two places at once, and that he was not the only person who drove the Honda registered under his name.

Avondale police knew almost two months before they arrested Molina that another man ­ his stepfather ­ sometimes drove Molina’s white Honda. On October 25, 2018, police obtained records showing that Molina’s Honda had been impounded earlier that year after Molina’s stepfather was caught driving the car without a license.

Data obtained by Avondale police from Google did show that a device logged into Molina’s Google account was in the area at the time of Knight’s murder. Yet on a different date, the location data from Google also showed that Molina was at a retirement community in Scottsdale (where his mother worked) while debit card records showed that Molina had made a purchase at a Walmart across town at the exact same time.

Molina’s attorneys argue that this and other instances like it should have made it clear to Avondale police that Google’s account-location data is not always reliable in determining the actual location of a person.

“About” searches might be rare, but that doesn’t make them a good idea. We have knowingly and willingly built the architecture of a police state, just so companies can show us ads. (And it is increasingly apparent that the advertising-supported Internet is heading for a crash.)

Posted on October 13, 2020 at 6:20 AM35 Comments

Hacking Apple for Profit

Five researchers hacked Apple Computer’s networks — not their products — and found fifty-five vulnerabilities. So far, they have received $289K.

One of the worst of all the bugs they found would have allowed criminals to create a worm that would automatically steal all the photos, videos, and documents from someone’s iCloud account and then do the same to the victim’s contacts.

Lots of details in this blog post by one of the hackers.

Posted on October 12, 2020 at 5:58 AM9 Comments

Sidebar photo of Bruce Schneier by Joe MacInnis.