The Zoom conferencing app hasavulnerability that allows someone to remotely take over the computer's camera.
It's a bad vulnerability, made worse by the fact that it remains even if you uninstall the Zoom app:
This vulnerability allows any website to forcibly join a user to a Zoom call, with their video camera activated, without the user's permission.
On top of this, this vulnerability would have allowed any webpage to DOS (Denial of Service) a Mac by repeatedly joining a user to an invalid call.
Additionally, if you've ever installed the Zoom client and then uninstalled it, you still have a localhost web server on your machine that will happily re-install the Zoom client for you, without requiring any user interaction on your behalf besides visiting a webpage. This re-install 'feature' continues to work to this day.
Zoom didn't take the vulnerability seriously:
This vulnerability was originally responsibly disclosed on March 26, 2019. This initial report included a proposed description of a 'quick fix' Zoom could have implemented by simply changing their server logic. It took Zoom 10 days to confirm the vulnerability. The first actual meeting about how the vulnerability would be patched occurred on June 11th, 2019, only 18 days before the end of the 90-day public disclosure deadline. During this meeting, the details of the vulnerability were confirmed and Zoom's planned solution was discussed. However, I was very easily able to spot and describe bypasses in their planned fix. At this point, Zoom was left with 18 days to resolve the vulnerability. On June 24th after 90 days of waiting, the last day before the public disclosure deadline, I discovered that Zoom had only implemented the 'quick fix' solution originally suggested.
This is why we disclose vulnerabilities. Now, finally, Zoom is taking this seriously and fixing it for real.
Motherboard got its hands on Palantir's Gotham user's manual, which is used by the police to get information on people:
The Palantir user guide shows that police can start with almost no information about a person of interest and instantly know extremely intimate details about their lives. The capabilities are staggering, according to the guide:
If police have a name that's associated with a license plate, they can use automatic license plate reader data to find out where they've been, and when they've been there. This can give a complete account of where someone has driven over any time period.
With a name, police can also find a person's email address, phone numbers, current and previous addresses, bank accounts, social security number(s), business relationships, family relationships, and license information like height, weight, and eye color, as long as it's in the agency's database.
The software can map out a person's family members and business associates of a suspect, and theoretically, find the above information about them, too.
All of this information is aggregated and synthesized in a way that gives law enforcement nearly omniscient knowledge over any suspect they decide to surveil.
Read the whole article -- it has a lot of details. This seems like a commercial version of the NSA's XKEYSCORE.
The FBI wants to gather more information from social media. Today, it issued a call for contracts for a new social media monitoring tool. According to a request-for-proposals (RFP), it's looking for an "early alerting tool" that would help it monitor terrorist groups, domestic threats, criminal activity and the like.
The tool would provide the FBI with access to the full social media profiles of persons-of-interest. That could include information like user IDs, emails, IP addresses and telephone numbers. The tool would also allow the FBI to track people based on location, enable persistent keyword monitoring and provide access to personal social media history. According to the RFP, "The mission-critical exploitation of social media will enable the Bureau to detect, disrupt, and investigate an ever growing diverse range of threats to U.S. National interests."
Cephalopod ancestors once had shells. When did they lose them?
With the molecular clock technique, which allowed him to use DNA to map out the evolutionary history of the cephalopods, he found that today's cuttlefish, squids and octopuses began to appear 160 to 100 million years ago, during the so-called Mesozoic Marine Revolution.
During the revolution, underwater life underwent a rapid change, including a burst in fish diversity. Some predators became better suited for crushing shellfish, while some smaller fish became faster and more agile.
"There's a continual arms race between the prey and the predators," said Mr. Tanner. "The shells are getting smaller, and the squids are getting faster."
The evolutionary pressures favored being nimble over being armored, and cephalopods started to lose their shells, according to Mr. Tanner. The adaptation allowed them to outcompete their shelled relatives for fast food, and they were able to better evade predators. They were also able to keep up with competitors seeking the same prey.
As usual, you can also use this squid post to talk about the security stories in the news that I haven't covered.
At least one presidential candidate has a policy about quantum computing and encryption.
It has two basic planks. One: fund quantum-resistant encryption standards. (Note: NIST is alreadydoingthis.) Two, fund quantum computing. (Unlike many far more pressing computer security problems, the market seems to be doing this on its own quite nicely.)
Okay, so not the greatest policy -- but at least one candidate has a policy. Do any of the other candidates have anything else in this area?
"I believe that blockchain needs to be a big part of our future," Yang told a crowded room at the Consensus conference in New York, where he gave a keynote address Wednesday. "If I'm in the White House, oh boy are we going to have some fun in terms of the crypto currency community."
Okay, so that's not so great, either. But again, I don't think anyone else talks about this.
Note: this is not an invitation to talk more general politics. Not even an invitation to explain how good or bad Andrew Yang's chances are. Or anyone else's. Please.
Reuters has a long article on the Chinese government APT attack called Cloud Hopper. It was much bigger than originally reported.
The hacking campaign, known as "Cloud Hopper," was the subject of a U.S. indictment in December that accused two Chinese nationals of identity theft and fraud. Prosecutors described an elaborate operation that victimized multiple Western companies but stopped short of naming them. A Reuters report at the time identified two: Hewlett Packard Enterprise and IBM.
Yet the campaign ensnared at least six more major technology firms, touching five of the world's 10 biggest tech service providers.
Also compromised by Cloud Hopper, Reuters has found: Fujitsu, Tata Consultancy Services, NTT Data, Dimension Data, Computer Sciences Corporation and DXC Technology. HPE spun-off its services arm in a merger with Computer Sciences Corporation in 2017 to create DXC.
Waves of hacking victims emanate from those six plus HPE and IBM: their clients. Ericsson, which competes with Chinese firms in the strategically critical mobile telecoms business, is one. Others include travel reservation system Sabre, the American leader in managing plane bookings, and the largest shipbuilder for the U.S. Navy, Huntington Ingalls Industries, which builds America's nuclear submarines at a Virginia shipyard.
The hackers have systematically broken in to more than 10 cell networks around the world to date over the past seven years to obtain massive amounts of call records -- including times and dates of calls, and their cell-based locations -- on at least 20 individuals.
Cybereason researchers said they first detected the attacks about a year ago. Before and since then, the hackers broke into one cell provider after the other to gain continued and persistent access to the networks. Their goal, the researchers believe, is to obtain and download rolling records on the target from the cell provider's database without having to deploy malware on each target's device.
The researchers found the hackers got into one of the cell networks by exploiting a vulnerability on an internet-connected web server to gain a foothold onto the provider's internal network. From there, the hackers continued to exploit each machine they found by stealing credentials to gain deeper access.
Who did it?
Cybereason did say it was with "very high probability" that the hackers were backed by a nation state but the researchers were reluctant to definitively pin the blame.
The tools and the techniques - such as the malware used by the hackers - appeared to be "textbook APT 10," referring to a hacker group believed to be backed by China, but Div said it was either APT 10, "or someone that wants us to go public and say it's [APT 10]."
Based on the data available to us, Operation Soft Cell has been active since at least 2012, though some evidence suggests even earlier activity by the threat actor against telecommunications providers.
The attack was aiming to obtain CDR records of a large telecommunications provider.
The threat actor was attempting to steal all data stored in the active directory, compromising every single username and password in the organization, along with other personally identifiable information, billing data, call detail records, credentials, email servers, geo-location of users, and more.
The tools and TTPs used are commonly associated with Chinese threat actors.
During the persistent attack, the attackers worked in waves -- abandoning one thread of attack when it was detected and stopped, only to return months later with new tools and techniques.
MIT Technology Review is reporting about an infrared laser device that can identify people by their unique cardiac signature at a distance:
A new device, developed for the Pentagon after US Special Forces requested it, can identify people without seeing their face: instead it detects their unique cardiac signature with an infrared laser. While it works at 200 meters (219 yards), longer distances could be possible with a better laser. "I don't want to say you could do it from space," says Steward Remaly, of the Pentagon's Combatting Terrorism Technical Support Office, "but longer ranges should be possible."
Contact infrared sensors are often used to automatically record a patient's pulse. They work by detecting the changes in reflection of infrared light caused by blood flow. By contrast, the new device, called Jetson, uses a technique known as laser vibrometry to detect the surface movement caused by the heartbeat. This works though typical clothing like a shirt and a jacket (though not thicker clothing such as a winter coat).
Remaly's team then developed algorithms capable of extracting a cardiac signature from the laser signals. He claims that Jetson can achieve over 95% accuracy under good conditions, and this might be further improved. In practice, it's likely that Jetson would be used alongside facial recognition or other identification methods.
Wenyao Xu of the State University of New York at Buffalo has also developed a remote cardiac sensor, although it works only up to 20 meters away and uses radar. He believes the cardiac approach is far more robust than facial recognition. "Compared with face, cardiac biometrics are more stable and can reach more than 98% accuracy," he says.
I have my usual questions about false positives vs false negatives, how stable the biometric is over time, and whether it works better or worse against particular sub-populations. But interesting nonetheless.