Security experts have discovered that hackers are targeting apps on the App Store to spread malware that steals information ...
Kaspersky discovered ‘SparkCat’ malware aimed at stealing cryptocurrency in multiple iOS apps.
A crypto stealer malware, the first on the iOS App Store and also available on Google Play Store, leverages OCR and machine learning to steal crypto wallet secrets and passwords.
Crypto-stealing malware dubbed ‘SparkCat’ has been discovered on iOS and Android app stores, and is embedded with a ‘malicious SDK/framework for stealing recovery phrases for crypto wallets’.
This is the first known case of an app infected with OCR (Optical Character Recognition) spyware being found in Apple’s ...
Malware with code that performs Optical Character Recognition (OCR) has been in suspicious apps in the App Store.
A newly discovered malware called SparkCat has infected over 242,000 mobile devices through legitimate-looking apps on both Android and iOS, using optical character recognition to steal cryptocurrency ...
A new malware campaign is said to be specifically targeting crypto users on both iOS and Android. Security researchers at Kaspersky recently discovered a malicious software development kit, or SDK, ...
Lifehacker on MSN13d
Researchers Found Photo-Scanning Malware on Apple's App Store for the First TimeResearchers have discovered new apps containing malware on both Apple's and Google's app store. Notably, it's the first time ...
A sneaky piece of iOS and Android malware is out in the wild, stealing sensitive information captured via screenshots.
Kaspersky has uncovered a new malware campaign designed to breach users' crypto wallets and steal Bitcoin and other cryptocurrencies. Dubbed SparkCat, the malware leverages advanced optical ...
Similar malware was discovered in 2023 that targeted Android and PC devices, but it has now spread to iOS. Kaspersky located several ‌App Store‌ apps with OCR spyware, including ComeCome ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results