Researchers can detect deep fakes because they don’t convincingly mimic human blood circulation in the face:
In particular, video of a person’s face contains subtle shifts in color that result from pulses in blood circulation. You might imagine that these changes would be too minute to detect merely from a video, but viewing videos that have been enhanced to exaggerate these color shifts will quickly disabuse you of that notion. This phenomenon forms the basis of a technique called photoplethysmography, or PPG for short, which can be used, for example, to monitor newborns without having to attach anything to a their very sensitive skin.
Deep fakes don’t lack such circulation-induced shifts in color, but they don’t recreate them with high fidelity. The researchers at SUNY and Intel found that “biological signals are not coherently preserved in different synthetic facial parts” and that “synthetic content does not contain frames with stable PPG.” Translation: Deep fakes can’t convincingly mimic how your pulse shows up in your face.
The inconsistencies in PPG signals found in deep fakes provided these researchers with the basis for a deep-learning system of their own, dubbed FakeCatcher, which can categorize videos of a person’s face as either real or fake with greater than 90 percent accuracy. And these same three researchers followed this study with another demonstrating that this approach can be applied not only to revealing that a video is fake, but also to show what software was used to create it.
Of course, this is an arms race. I expect deep fake programs to become good enough to fool FakeCatcher in a few months.
Posted on October 1, 2020 at 6:19 AM •
Really interesting conversation with someone who negotiates with ransomware gangs:
For now, it seems that paying ransomware, while obviously risky and empowering/encouraging ransomware attackers, can perhaps be comported so as not to break any laws (like anti-terrorist laws, FCPA, conspiracy and others) and even if payment is arguably unlawful, seems unlikely to be prosecuted. Thus, the decision whether to pay or ignore a ransomware demand, seems less of a legal, and more of a practical, determination almost like a cost-benefit analysis.
The arguments for rendering a ransomware payment include:
- Payment is the least costly option;
- Payment is in the best interest of stakeholders (e.g. a hospital patient in desperate need of an immediate operation whose records are locked up);
- Payment can avoid being fined for losing important data;
- Payment means not losing highly confidential information; and
- Payment may mean not going public with the data breach.
The arguments against rendering a ransomware payment include:
- Payment does not guarantee that the right encryption keys with the proper decryption algorithms will be provided;
- Payment further funds additional criminal pursuits of the attacker, enabling a cycle of ransomware crime;
- Payment can do damage to a corporate brand;
- Payment may not stop the ransomware attacker from returning;
- If victims stopped making ransomware payments, the ransomware revenue stream would stop and ransomware attackers would have to move on to perpetrating another scheme; and
- Using Bitcoin to pay a ransomware attacker can put organizations at risk. Most victims must buy Bitcoin on entirely unregulated and free-wheeling exchanges that can also be hacked, leaving buyers’ bank account information stored on these exchanges vulnerable.
When confronted with a ransomware attack, the options all seem bleak. Pay the hackers and the victim may not only prompt future attacks, but there is also no guarantee that the hackers will restore a victim’s dataset. Ignore the hackers and the victim may incur significant financial damage or even find themselves out of business. The only guarantees during a ransomware attack are the fear, uncertainty and dread inevitably experienced by the victim.
Posted on September 30, 2020 at 6:19 AM •
As expected, IoT devices are filled with vulnerabilities:
As a thought experiment, Martin Hron, a researcher at security company Avast, reverse engineered one of the older coffee makers to see what kinds of hacks he could do with it. After just a week of effort, the unqualified answer was: quite a lot. Specifically, he could trigger the coffee maker to turn on the burner, dispense water, spin the bean grinder, and display a ransom message, all while beeping repeatedly. Oh, and by the way, the only way to stop the chaos was to unplug the power cord.
In any event, Hron said the ransom attack is just the beginning of what an attacker could do. With more work, he believes, an attacker could program a coffee maker — and possibly other appliances made by Smarter — to attack the router, computers, or other devices connected to the same network. And the attacker could probably do it with no overt sign anything was amiss.
Posted on September 29, 2020 at 6:16 AM •
Mark Jaycox has written a long article on the US Executive Order 12333: “No Oversight, No Limits, No Worries: A Primer on Presidential Spying and Executive Order 12,333“:
Abstract: Executive Order 12,333 (“EO 12333”) is a 1980s Executive Order signed by President Ronald Reagan that, among other things, establishes an overarching policy framework for the Executive Branch’s spying powers. Although electronic surveillance programs authorized by EO 12333 generally target foreign intelligence from foreign targets, its permissive targeting standards allow for the substantial collection of Americans’ communications containing little to no foreign intelligence value. This fact alone necessitates closer inspection.
This working draft conducts such an inspection by collecting and coalescing the various declassifications, disclosures, legislative investigations, and news reports concerning EO 12333 electronic surveillance programs in order to provide a better understanding of how the Executive Branch implements the order and the surveillance programs it authorizes. The Article pays particular attention to EO 12333’s designation of the National Security Agency as primarily responsible for conducting signals intelligence, which includes the installation of malware, the analysis of internet traffic traversing the telecommunications backbone, the hacking of U.S.-based companies like Yahoo and Google, and the analysis of Americans’ communications, contact lists, text messages, geolocation data, and other information.
After exploring the electronic surveillance programs authorized by EO 12333, this Article proposes reforms to the existing policy framework, including narrowing the aperture of authorized surveillance, increasing privacy standards for the retention of data, and requiring greater transparency and accountability.
Posted on September 28, 2020 at 6:21 AM •
I thought the virus doesn’t survive well on food packaging:
Authorities in China’s northeastern Jilin province have found the novel coronavirus on the packaging of imported squid, health authorities in the city of Fuyu said on Sunday, urging anyone who may have bought it to get themselves tested.
As usual, you can also use this squid post to talk about the security stories in the news that I haven’t covered.
Read my blog posting guidelines here.
Posted on September 25, 2020 at 2:39 PM •
The founder and CEO of the Internet security company NS8 has been arrested and “charged in a Complaint in Manhattan federal court with securities fraud, fraud in the offer and sale of securities, and wire fraud.”
I admit that I’ve never even heard of the company before.
Posted on September 25, 2020 at 6:21 AM •
The New York Times wrote about a still-unreleased report from Chckpoint and the Miaan Group:
The reports, which were reviewed by The New York Times in advance of their release, say that the hackers have successfully infiltrated what were thought to be secure mobile phones and computers belonging to the targets, overcoming obstacles created by encrypted applications such as Telegram and, according to Miaan, even gaining access to information on WhatsApp. Both are popular messaging tools in Iran. The hackers also have created malware disguised as Android applications, the reports said.
It looks like the standard technique of getting the victim to open a document or application.
Posted on September 24, 2020 at 6:18 AM •
A Dusseldorf woman died when a ransomware attack against a hospital forced her to be taken to a different hospital in another city.
I think this is the first documented case of a cyberattack causing a fatality. UK hospitals had to redirect patients during the 2017 WannaCry ransomware attack, but there were no documented fatalities from that event.
The police are treating this as a homicide.
Posted on September 23, 2020 at 6:03 AM •
No real surprises, but we finally have the story.
The story he went on to tell is strikingly straightforward. De Guzman was poor, and internet access was expensive. He felt that getting online was almost akin to a human right (a view that was ahead of its time). Getting access required a password, so his solution was to steal the passwords from those who’d paid for them. Not that de Guzman regarded this as stealing: He argued that the password holder would get no less access as a result of having their password unknowingly “shared.” (Of course, his logic conveniently ignored the fact that the internet access provider would have to serve two people for the price of one.)
De Guzman came up with a solution: a password-stealing program. In hindsight, perhaps his guilt should have been obvious, because this was almost exactly the scheme he’d mapped out in a thesis proposal that had been rejected by his college the previous year.
Posted on September 22, 2020 at 1:35 PM •
Amazon drivers — all gig workers who don’t work for the company — are hanging cell phones in trees near Amazon delivery stations, fooling the system into thinking that they are closer than they actually are:
The phones in trees seem to serve as master devices that dispatch routes to multiple nearby drivers in on the plot, according to drivers who have observed the process. They believe an unidentified person or entity is acting as an intermediary between Amazon and the drivers and charging drivers to secure more routes, which is against Amazon’s policies.
The perpetrators likely dangle multiple phones in the trees to spread the work around to multiple Amazon Flex accounts and avoid detection by Amazon, said Chetan Sharma, a wireless industry consultant. If all the routes were fed through one device, it would be easy for Amazon to detect, he said.
“They’re gaming the system in a way that makes it harder for Amazon to figure it out,” Sharma said. “They’re just a step ahead of Amazon’s algorithm and its developers.”
Posted on September 22, 2020 at 6:36 AM •
Sidebar photo of Bruce Schneier by Joe MacInnis.