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Search - "5 million devices"
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"Pre-Installed Malware Found On 5 Million Popular Android Phones"
"added somewhere along the supply chain"
See below how to check if it's installed
Sources:
- (new) https://thehackernews.com/2018/03/...
- (new) https://research.checkpoint.com/rot...
- (old relevant news) https://thehackernews.com/2017/03/...
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"Rottensys" a malware which covers devices from: Honor, Huawei, Xiaomi, OPPO, Vivo, Samsung and GIONEE
---
"According to our findings, the RottenSys malware began propagating in September 2016. By March 12, 2018, 4,964,460 devices were infected by RottenSys," researchers said.
"At this moment, the massive malware campaign pushes an adware component to all infected devices that aggressively displays advertisements on the device’s home screen, as pop-up windows or full-screen ads to generate fraudulent ad-revenues."
---
If you have one of the affected devices, here's how I checked mine:
1. Install ADB (Windows: https://forum.xda-developers.com/sh...)
2. Connect your device in USB-debugging mode
3. execute "adb shell 'pm list packages -f' > output.txt" (On windows navigate to C:\adb and replace "adb" with ".\adb.exe")
4. open the now created output.txt
5. search for any of those:
com.android.yellowcalendarz (每日黄历)
com.changmi.launcher (畅米桌面)
com.android.services.securewifi (系统WIFI服务)
com.system.service.zdsgt19 -
Still trying to get good.
The requirements are forever shifting, and so do the applied paradigms.
I think the first layer is learning about each paradigm.
You learn 5-10 languages/technologies, get a feeling for procedural/functional/OOP programming. You mess around with some electronics engineering, write a bit of assembly. You write an ugly GTK program, an Android todo app, check how OpenGL works. You learn about relational models, about graph databases, time series storage and key value caches. You learn about networking and protocols. You void the warranty of all the devices in your house at some point. You develop preferences for languages and systems. For certain periods of time, you even become an insufferable fanboy who claims that all databases should be replaced by MongoDB, or all applications should be written in C# -- no exceptions in your mind are possible, because you found the Perfect Thing. Temporarily.
Eventually, you get to the second layer: Instead of being a champion for a single cause, you start to see patterns of applicability.
You might have grown to prefer serverless microservice architectures driven by pub/sub event busses, but realize that some MVC framework is probably more suitable for a 5-employee company. You realize that development is not just about picking the best language and best architecture -- It's about pros and cons for every situation. You start to value consistency over hard rules. You realize that even respected books about computer science can sometimes contain lies -- or represent solutions which are only applicable to "spherical cows in a vacuum".
Then you get to the third layer: Which is about orchestrating migrations between paradigms without creating a bigger mess.
Your company started with a tiny MVC webshop written in PHP. There are now 300 employees and a few million lines of code, the framework more often gets in the way than it helps, the database is terribly strained. Big rewrite? Gradual refactor? Introduce new languages within the company or stick with what people know? Educate people about paradigms which might be more suitable, but which will feel unfamiliar? What leads to a better product, someone who is experienced with PHP, or someone just learning to use Typescript?
All that theoretical knowledge about superior paradigms won't help you now -- No clean slates! You have to build a skyscraper city to replace a swamp village while keeping the economy running, together with builders who have no clue what concrete even looks like. You might think "I'll throw my superior engineering against this, no harm done if it doesn't stick", but 9 out of 10 times that will just end in a mix of concrete rubble, corpses and mud.
I think I'm somewhere between 2 and 3.
I think I have most of the important knowledge about a wide array of languages, technologies and architectures.
I think I know how to come to a conclusion about what to use in which scenario -- most of the time.
But dealing with a giant legacy mess, transforming things into something better, without creating an ugly amalgamation of old and new systems blended together into an even bigger abomination? Nah, I don't think I'm fully there yet.8