If this is the Ukraine, things could get very interesting soon.
https://www.schneier.com/blog/archives/2022/12/crywiper-data-wiper-targeting-russian-sites.html
CryWiper Data Wiper Targeting Russian Sites
Kaspersky is reporting on a data wiper masquerading as ransomware that is targeting local Russian government networks.
The Trojan corrupts any data that’s not vital for the functioning of the operating system. It doesn’t affect files with extensions .exe, .dll, .lnk, .sys or .msi, and ignores several system folders in the C:\Windows directory. The malware focuses on databases, archives, and user documents.
So far, our experts have seen only pinpoint attacks on targets in the Russian Federation. However, as usual, no one can guarantee that the same code won’t be used against other targets.
Nothing leading to an attribution.
News article.
Slashdot thread.
It’s year-end wrap up time again.
https://www.makeuseof.com/biggest-data-breaches-2022/
The 5 Biggest Data Breaches of 2022
Here are some of the most notable data hacks of the past 12 months, taking into account the number of people affected and the type of info leaked.
Evidence evidence, everywhere you look there’s evidence.
Law Enforcement Is Extracting Tons Of Data From Vehicle Infotainment Systems
Tim Cushing writes:
For years, cars have collected massive amounts of data. And for years, this data has been extraordinarily leaky. Manufacturers don’t like to discuss how much data gets phoned home from vehicle systems. They also don’t like to discuss the attack vectors these systems create, either for malicious hackers or slightly less malicious law enforcement investigators.
The golden age of surveillance definitely covers cars and their infotainment systems. A murder investigation had dead-ended until cops decided to access the on-board computers in the victim’s truck, which led investigators to the suspect nearly two years after the investigation began.
And whatever investigators can’t access themselves will be sold to them.
Read more at TechDirt.
See also Cops Can Extract Data From 10,000 Different Car Models’ Infotainment Systems, via Joe Cadillic
Can you trust an electronic lawyer?
https://www.bespacific.com/the-supply-and-demand-of-legal-help-on-the-internet/
The Supply and Demand of Legal Help on the Internet
Hagan, Margaret, The Supply and Demand of Legal Help on the Internet (October 17, 2022). Margaret D. Hagan “The Supply and Demand of Legal Help on the Internet,” Legal Tech and the Future of Civil Justice, edited by David Freeman Engstrom. Cambridge University Press, Forthcoming., Available at SSRN: https://ssrn.com/abstract=4250390
“Faith in technology as a way to narrow the civil justice gap has steadily grown alongside an expanding menu of websites offering legal guides, document assembly tools, and case management systems. Yet little is known about the supply and demand of legal help on the internet. This chapter mounts a first-of-its-kind effort to fill that gap by measuring website traffic across the mix of commercial, court-linked, and public interest websites that vie for eyeballs online. Commercial sites, it turns out, dominate over the more limited ecosystem of court-linked and public interest online resources, and yet commercial sites often engage in questionable practices, including the baiting of users with incomplete information and then charging for more. Search engine algorithms likely bolster that dominance. Policy implications abound for a new generation of A2J technologies focused on making people’s legal journeys less burdensome and more effective. What role should search engines play to promote access to quality legal information? Could they, or should they, privilege trustworthy sources? Might there be scope for public-private partnerships, or even a regulatory role, to ensure that online searches return trustworthy and actionable legal information?”
What should the court accept?
https://www.computerworld.com/article/3682149/biometrics-are-even-less-accurate-than-we-thought.html
Biometrics are even less accurate than we thought
… “Any biometric vendor or algorithm creator can submit their algorithm for review. NIST received 733 submissions for its fingerprint review and more than 450 submissions for its facial recognition reviews. NIST accuracy goals depend on the review and scenario being tested, but NIST is looking for an accuracy goal around 1:100,000, meaning one error per 100,000 tests.
"So far, none of the submitted candidates come anywhere close,” Grimes wrote, summarizing the NIST findings. “The best solutions have an error rate of 1.9%, meaning almost two mistakes for every 100 tests. That is a far cry from 1:100,000 and certainly nowhere close to the figures touted by most vendors. I have been involved in many biometric deployments at scale and we see far higher rates of errors — false positives or false negatives — than even what NIST is seeing in their best-case scenario lab condition testing. I routinely see errors at 1:500 or lower.”
Does this make it seem more like a scam?
https://www.makeuseof.com/platforms-pay-users-learn-crypto/
10 Platforms That Pay Users to Learn About Crypto
Learn-to-earn platforms have become a highly popular way of promoting various protocols, and more platforms are beginning to offer crypto rewards for online learners.
In many cases, all users need to do is register an account and open a wallet with learn-to-earn platforms to start receiving cryptocurrency. As a result, over time, it’s even possible to build a fair portfolio without having to make a deposit.
Perspective. AI as the author of well argued, documented lies...
AI Homework
Resource.
https://www.bespacific.com/futurepedia/
FUTUREPEDIA
“Futurepedia is the largest AI tools directory on the internet. It is updated with 5+ new AI tools daily. Sign up to save and share your favourite AI tools.” Users may browse to identify AI tools similar to ones already submitted.
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