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Neal E, Boudette and Niraj Chokshi The New York Times Business front page, 17 Aug 2021
After a series of crashes, U,S, safety regulators open a broad inquiry at a system's potential flaws.
The investigation was prompted by at least 11 accidents in which Teslas using Autopilot … drove into parked fire trucks, police cars, and other emergency vehicles.
Wait a minute—there's going to be another one of those things out there? And then five more?!
A tech firm that has been quietly testing a single self-driving car on the streets of New York City—which prompted the Department of Transportation to initiate a process to further regulate the testing of such driverless vehicles — is about to deploy a second “look-ma-no-hands” car in Gotham this month, with plans for five more by the end of the year, Streetsblog has learned. […]
Throughout the video, Shashua referred to Mobileye's work in New York as “battle testing” and used combat themes to describe the work his company is doing here.
“Battle testing of AV is very challenging in New York,” he said. “If we want to build at scale, we have to drive in places that are challenging. … And scale is important. You cannot build a business unless you can operate at scale.” […]
But the theme that Shashua kept coming back to was the difficulties of driving in New York City, with five main things that “stand out” in New York versus other world capitals: “Pedestrians and jaywalking”: “In New York City, this is really a class of its own. Pedestrians don't respect the rules. When I'm in California and everywhere else in the world, if there is a red light, [pedestrians] don't cross. In New York City, you cross. That's New York City. You have jaywalkers and pedestrians and you have tons of them.” He made it sound as if everything would be so much easier if the pedestrians could be reformed.
“Driving behavior”: “People here are very very assertive because the majority of drivers here are professional drivers. Whether they are Uber, Lyft or taxis, they are driving because they need to make their living. They don't have time to be polite. The culture here is very, very aggressive when the traffic is congested. It is unlike everywhere else. People complain about Boston, but New York City is much worse.” “Light pollution”: “There is no night here in the city,” he said. “Double-parking”: “You have double-parking everywhere,” he said, making it “quite tricky” for an autonomous car to determine whether the “vehicle in front of it is an obstacle and not just standing in a line in a traffic jam. The car driving in New York City needs to make that decision every 100 meters. [The car has to calculate] ‘What is an obstacle I need to overate [[sic, or maybe sick if it really over-ate. PGN]] and what is a car that is just standing in a jam and I have to be patient.’ It is very tricky.” “Road users diversity”: You have carriages pulled by horse and so many different types of road users beyond pedestrians. You don't find this in other cities.”
“It's really a huge headache to test here in New York City,” he concluded.
Commuters returning to Metro for the first time might be surprised to have a lot more money on their SmarTrip card than they should—and even more surprised when that dollar amount drops suddenly.
A technical issue with SmartBenefits—the system used by employers to deposit money onto their employees' SmarTrip accounts—is causing higher amounts of money to be displayed for some riders when they swipe into the system. Once the rider uses up the actual amount on the card, it will display zero dollars, despite the prior swipes showing much more.
The problem comes from a lot of people stopping SmartBenefits during the pandemic. People who haven't ridden the system for a year and a half likely don't remember how much money they had on their card when they last traveled.
It appears that in some cases, monthly SmartBenefits appeared like they were still added to accounts after they were stopped or paused during the pandemic, leading to the unexpectedly high balances shown at the fare-gates. In reality, the money was never added to the accounts.
Benefits appeared to be added, but weren't. What could go wrong?
“The lost data included images, video, audio, case notes and other information gathered by police officers and detectives, police said in an earlier statement. A city IT employee was moving the files, which had not been accessed for the previous six to 18 months, from an online, cloud-based archive to a server at the city's data center. The ‘employee failed to follow proper, established procedures, resulting in the deletion of the data files,’ police said.”
Risk: Data backup and restore processes for systems of record.
[Regular oversight of backup/restore processes, including random content delete/restore verification, can inculcate organizational vigilance and discipline essential to sustain continuity.]
“The researchers used the May 8, 1953 ‘Encore’ event as a basis for testing their WRF hypothesis. Using global atmospheric reanalysis data to simulate conditions on that date, they fed the WRF model the parameters of a nuclear fireball and dialed in the resolution accordingly. After running the model, their simulation matched the 1953 photos remarkably well.“
Would weather.com add a nuclear fallout forecast to their app?
[Available, at a discount, to paid subscribers from their mine shaft shelters.]
When a cyberattack on Iran's railroad system last month caused widespread chaos with hundreds of trains delayed or canceled, fingers naturally pointed at Israel, which has been locked in a long-running shadow war with Tehran.
But a new investigation by an Israeli-American cybersecurity company, Check Point Software Technologies, concluded that a mysterious group opposed to the Iranian government was most likely behind the hack. That is in contrast to many previous cyberattacks, which were attributed to state entities. The group is known as Indra, named after the god of war in Hindu mythology.
[Convenient, perhaps, that an Israeli-American company points the finger for an attack on an enemy of both countries elsewhere.]
Security researchers have disclosed as many as 40 different vulnerabilities associated with an opportunistic encryption mechanism in mail clients and servers that could open the door to targeted man-in-the-middle (MitM) attacks, permitting an intruder to forge mailbox content and steal credentials.
The now-patched flaws, identified in various STARTTLS implementations, were detailed <https://www.usenix.org/conference/usenixsecurity21/presentation/poddebniak> by a group of researchers Damian Poddebniak, Fabian Ising, Hanno Böck, and Sebastian Schinzel at the 30th USENIX Security Symposium. In an Internet-wide scan conducted during the study, 320,000 email servers were found vulnerable to what's called a command injection attack.
Some of the popular clients affected by the bugs include Apple Mail, Gmail, Mozilla Thunderbird, Claws Mail, Mutt, Evolution, Exim, Mail.ru, Samsung Email, Yandex, and KMail. The attacks require that the malicious party can tamper connections established between an email client and the email server of a provider and has login credentials for their own account on the same server.
STARTTLS refers to a form of opportunistic TLS <https://en.wikipedia.org/wiki/Opportunistic_TLS> that enables email communication protocols such as SMTP, POP3, and IMAP to be transitioned or upgraded from a plain text connection to an encrypted connection instead of having to use a separate port for encrypted communication. […] https://thehackernews.com/2021/08/dozens-of-starttls-related-flaws-found.html
Dyani Lewis, Nature, 13 Aug 2021, via ACM TechNews, Monday, August 16, 2021
Autocorrect errors in spreadsheet programs like Microsoft Excel or Google Sheets continue to dog academic genomics literature, according to a study of published gene lists. This often happens when the abbreviated form of a gene's name, or symbol, is wrongly identified and autocorrected as a date, which means the gene is lost when the data is imported into gene-network-analysis software. Five years after Australian researchers brought attention to the problem, analysis by a team at Australia's Deakin University confirmed such errors remain widespread. Deakin's Mark Ziemann said simple checks can detect autocorrect errors, while not using spreadsheets is another suggestion. He also said researchers can trace errors by using scripted computer languages like Python and R, which do not autocorrect gene symbols.
The reports are actually a bit misleading since people associate ‘Blackberry’ with RIMm while QNX is a Unix-like microkernel RTOS originally from Quantum Software Systems. QNX was popular in car head units alongside Windows Embedded, so it's a problem in some head units, not in something like an ECU (and yes, I know you can then leap across to other parts of the car if they're insufficiently isolated).
Given the age of QNX and its lack of public exposure (meaning third-party examination), I'm surprised there's only one vulnerability in it. This scenario in particular follows on from what happened with the i-Opener, an Internet appliance built on top of QNX. The existence of a $99 device that you could shovel Linux onto meant that the previously secure-in-obscurity QNX got a free security evaluation by a bunch of hackers, who promptly found a security bypass allowing it to be sidegraded to a Linux appliance.
Perhaps the moral here is “be too boring to be of interest to anyone”.
[Note: Ross Anderson's op-ed in The Guardian piece is online: https://www.theguardian.com/commentisfree/2021/aug/14/sexual-abuse-images-apple-tech-giant-iphones-us-surveillance
Apple's client-side child abuse photos/messages scanning system is ultimately likely doomed. Its motives are laudable but foundational collateral problems are piling up. It would be wise for Apple to abandon this effort before users' and firms' faith in Apple are further damaged.
A new wave of attacks involving a notorious macOS adware family has evolved to leverage around 150 unique samples in the wild in 2021 alone, some of which have slipped past Apple's on-device malware scanner and even signed by its own notarization service, highlighting the malicious software ongoing attempts to adapt and evade detection.
“AdLoad,” as the malware is known, is one of several widespread adware and bundleware loaders targeting macOS since at least 2017. It's capable of backdooring an affected system to download and install adware or potentially unwanted programs (PUPs), as well as amass and transmit information about victim machines.
The new iteration “continues to impact Mac users who rely solely on Apple's built-in security control XProtect for malware detection,” SentinelOne threat researcher Phil Stokes said <https://labs.sentinelone.com/massive-new-adload-campaign-goes-entirely-undetected-by-apples-xprotect/> in an analysis published last week. “As of today, however, XProtect arguably has around 11 different signatures for AdLoad [but] the variant used in this new campaign is undetected by any of those rules.”
The 2021 version of AdLoad latches on to persistence and executable names that use a different file extension pattern (.system or .service), enabling the malware to get around additional security protections incorporated by Apple, ultimately resulting in the installation of a persistence agent, which, in turn, triggers an attack chain to deploy malicious droppers that masquerade as a fake Player.app to install malware. […]
Abrien Aguirre worked in Oahu's biggest Rehab and Skilled Nursing Facilities in three separate covid units and he shares what he witnessed which is shocking to say the least. […] https://www.bitchute.com/video/snvoNdcBzaAZ/
Andrew Appel's New post on freedom-to-tinker:
> If it hadn't been caught in time, a flaw in the design of this Manhattan > skyscraper could have led to its collapse.
Curious. I thought I was reading RISKS-32.82 there, not Risks 17.16.
130 million small pieces of space debris is a lot. But you have to keep in mind that space is BIG.
Most of the debris is in so-called Low Earth Orbit (LEO), let´s say between 300 and 1700 km altitude. A quick back-of-an-envelope calculation estimates the volume of the LEO zone to be around 1 trillion cubic kilometers. That is around 8.000 cubic kilometers per piece of debris. Debris is likely not uniformly distributed, so the concentration may be larger in some regions than in others, but we are still talking about a very diluted cloud of mainly small objects.
This is consistent with the observation that spacecraft occasionally do get hit, but that these are rare events.
I have difficulty imagining what technology would be capable of removing a worthwhile fraction of the small debris that is so spread-out in space.
If we look at larger objects, like dead satellites and rocket stages, the situation is different. These objects are being tracked, so we know about potential collisions and can take evasive measures. It should be possible, in principle, to approach and grab an object and de-orbit it. But that´s an expensive operation, requiring the launch of a dedicated spacecraft that would likely only be capable of removing one, or, at most, a few objects. So doing this on a large scale seems unrealistic.
I am not suggesting that the problem of space debris should not be taken seriously. What I want to say is that cleaning it up is a daunting task, if at all feasible.
The lesson we should learn is that we should make sure all future space missions are designed for safe disposal, once the mission is over.
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