January 7, 2019 By David Bisson 2 min read

Several new types of pre-installed malware are targeting critical system apps on mobile devices, making them difficult to remove.

Researchers at Malwarebytes came across two instances of pre-installed malware targeting applications in /system/priv-app/, where critical apps such as settings and system UI reside. The first infection occurred on a THL T9 Pro device. The malware repeatedly installed variants of Android/Trojan.HiddenAds, which is known for displaying lock screen advertisements that take up the device’s entire screen. In this particular case, the infection wrapped itself up in the critical system Android app System UI.

The second infection occurred on a UTOK Q55. In that case, the threat came hardcoded in the device’s Settings app. It fit the “monitor” category of potentially unwanted programs (PUP), which are capable of collecting and reporting users’ information.

The Pre-Installed Malware Problem Persists

These two instances of pre-installed malware aren’t the first detected by Malwarebytes. In March 2017, researchers at the security software provider observed mobile devices manufactured by BLU being shipped out with Android/Adware.YeMobi. Then in December of that year, the researchers found an auto-installer known as FWUpgradeProvider pre-installed on devices bought from legitimate phone carriers in the U.K. and elsewhere.

Other security firms have detected pre-installed malware more recently. For instance, Check Point discovered RottenSys disguised as a system Wi-Fi service; the threat targeted nearly 5 million users for fraudulent ad revenues as of March 2018. A few months later, Avast Threat Labs found adware known as Cosiloon pre-installed on hundreds of Android device models.

How to Protect Mobile Devices From Pre-Installed Malware

Security professionals can protect mobile devices from pre-installed malware and other threats by using a unified endpoint management (UEM) solution to monitor how these devices report to the corporate IT environment. They should also use behavioral analysis to help defend mobile devices against zero-day threats.

More from

NIST’s role in the global tech race against AI

4 min read - Last year, the United States Secretary of Commerce announced that the National Institute of Standards and Technology (NIST) has been put in charge of launching a new public working group on artificial intelligence (AI) that will build on the success of the NIST AI Risk Management Framework to address this rapidly advancing technology.However, recent budget cuts at NIST, along with a lack of strategy implementation, have called into question the agency’s ability to lead this critical effort. Ultimately, the success…

Researchers develop malicious AI ‘worm’ targeting generative AI systems

2 min read - Researchers have created a new, never-seen-before kind of malware they call the "Morris II" worm, which uses popular AI services to spread itself, infect new systems and steal data. The name references the original Morris computer worm that wreaked havoc on the internet in 1988.The worm demonstrates the potential dangers of AI security threats and creates a new urgency around securing AI models.New worm utilizes adversarial self-replicating promptThe researchers from Cornell Tech, the Israel Institute of Technology and Intuit, used what’s…

Passwords, passkeys and familiarity bias

5 min read - As passkey (passwordless authentication) adoption proceeds, misconceptions abound. There appears to be a widespread impression that passkeys may be more convenient and less secure than passwords. The reality is that they are both more secure and more convenient — possibly a first in cybersecurity.Most of us could be forgiven for not realizing passwordless authentication is more secure than passwords. Thinking back to the first couple of use cases I was exposed to — a phone operating system (OS) and a…

Topic updates

Get email updates and stay ahead of the latest threats to the security landscape, thought leadership and research.
Subscribe today