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Interesting research: “EvilModel: Hiding Malware Inside of Neural Network Models”.

Abstract: Delivering malware covertly and detection-evadingly is critical to advanced malware campaigns. In this paper, we present a method that delivers malware covertly and detection-evadingly through neural network models. Neural network models are poorly explainable and have a good generalization ability. By embedding malware into the neurons, malware can be delivered covertly with minor or even no impact on the performance of neural networks. Meanwhile, since the structure of the neural network models remains unchanged, they can pass the security scan of antivirus engines. Experiments show that 36.9MB of malware can be embedded into a 178MB-AlexNet model within 1% accuracy loss, and no suspicious are raised by antivirus engines in VirusTotal, which verifies the feasibility of this method. With the widespread application of artificial intelligence, utilizing neural networks becomes a forwarding trend of malware. We hope this work could provide a referenceable scenario for the defense on neural network-assisted attacks…

Ransomware isn’t new; the idea dates back to 1986 with the “Brain” computer virus. Now, it’s become the criminal business model of the internet for two reasons. The first is the realization that no one values data more than its original owner, and it makes more sense to ransom it back to them — sometimes with the added extortion of threatening to make it public — than it does to sell it to anyone else. The second is a safe way of collecting ransoms: bitcoin.

This is where the suggestion to ban cryptocurrencies as a way to “solve” ransomware comes from. Lee Reiners, executive director of the Global Financial Markets Center at Duke Law, …

A Catholic priest was outed through commercially available surveillance data. Vice has a good analysis:

The news starkly demonstrates not only the inherent power of location data, but how the chance to wield that power has trickled down from corporations and intelligence agencies to essentially any sort of disgruntled, unscrupulous, or dangerous individual. A growing market of data brokers that collect and sell data from countless apps has made it so that anyone with a bit of cash and effort can figure out which phone in a so-called anonymized dataset belongs to a target, and abuse that information…

A 18-year-old Tennessee man who helped set in motion a fraudulent distress call to police that lead to the death of a 60-year-old grandfather in 2020 was sentenced to 60 months in prison today.

NSO Group, the Israeli cyberweapons arms manufacturer behind the Pegasus spyware — used by authoritarian regimes around the world to spy on dissidents, journalists, human rights workers, and others — was hacked. Or, at least, an enormous trove of documents was leaked to journalists.

There’s a lot to read out there. Amnesty International has a report. Citizen Lab conducted an independent analysis. The Guardian has extensive coverage. More coverage.

Most interesting is a list of over 50,000 phone numbers that were being spied on by NSO Group’s software. Why does NSO Group have that list? The obvious answer is that NSO Group provides spyware-as-a-service, and centralizes operations somehow. Nicholas Weaver …