![]() How to set up macOS for OpenCV development Grigory Serebryakov is OpenCV AI Chief Development Officer. Since users install the pirated software themselves, this bypasses Mac OS protections. I started with the official tutorial on building the current version of OpenCV for macOS. Named OSAMiner, the malware has been distributed in the wild since at least 2015 disguised in pirated (cracked) games and software such as League of Legends and Microsoft Office for Mac, security firm SentinelOne said in a report published this week. However, for our continuous integration machine, we need to do a few additional steps. Since we want to support multiple Python versions, chances are we’ll have more machines in the future, so we’ll want to automate the environment setup. My tool of choice when it comes to managing python interpreters on one machine is pyenv (yes, we know there are others). Since we’re talking about automation, we need to be able to install software from the command-line to efficiently manage dependencies. The free Homebrew is great third-party package manager for macOS which we’ll use for this purpose. On top of that, automation requires some glue between different tools to configure them, provide the needed setup, and report issues in standing up new machines. Ansible is one of the most used tools in this area, and has a good track record, so we’ll go with it. For more than five years, macOS.OSAMiner used a clever trick to avoid detection and hijacked the hardware resources of infected users to cryptomine behind. Let’s not forget we still may need some GUI applications – yes, this machine is for CI, but imagine that at some point you’d like to debug some functionality. That said, having a compiler isn’t enough, we need an IDE. Using this Ansible collection that allows you to install any GUI application from Apple store we will set up XCode which is, of course, Apple’s recommended IDE. Using the above tools, we have all we need to set up our requirements and move on to building. Since "run-only" AppleScript come in a compiled state where the source code isn't human-readable, this made analysis harder for security researchers.Starting in the evening, I opened my laptop, connected via ssh to the M1 machine, checked that all the tools were ready and cloned the OpenCV repository. As users installed the pirated software, the boobytrapped installers would download and run a run-only AppleScript, which would download and run a second run-only AppleScript, and then another final third run-only AppleScript. The primary reason was that security researchers weren't able to retrieve the malware's entire code at the time, which used nested run-only AppleScript files to retrieve its malicious code across different stages. But their reports only scratched the surface of what OSAMiner was capable of, SentinelOne macOS malware researcher Phil Stokes said yesterday. SentinelOne said that two Chinese security firms spotted and analyzed older versions of the OSAMiner in August and September 2018, respectively. ![]() But the cryptominer did not go entirely unnoticed. ![]() Named OSAMiner, the malware has been distributed in the wild since at least 2015 disguised in pirated (cracked) games and software such as League of Legends and Microsoft Office for Mac, security firm SentinelOne said in a report published this week. An anonymous reader quotes a report from ZDNet: For more than five years, macOS users have been the targets of a sneaky malware operation that used a clever trick to avoid detection and hijacked the hardware resources of infected users to mine cryptocurrency behind their backs.
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