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Mobile malware evolution in 2024

SecureList

The statistics for previous years may differ from earlier publications due to a data and methodology revision implemented in 2024. The year in figures According to Kaspersky Security Network, in 2024: A total of 33.3 million attacks involving malware, adware or unwanted mobile software were prevented. A total of 1.1

Mobile 115
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IT threat evolution in Q3 2024. Mobile statistics

SecureList

IT threat evolution in Q3 2024 IT threat evolution in Q3 2024. Non-mobile statistics IT threat evolution in Q3 2024. Mobile statistics Quarterly figures According to Kaspersky Security Network, in Q3 2024: As many as 6.7 million attacks involving malware, adware or potentially unwanted mobile apps were prevented.

Mobile 97
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IT threat evolution in Q3 2024. Non-mobile statistics

SecureList

IT threat evolution in Q3 2024 IT threat evolution in Q3 2024. Non-mobile statistics IT threat evolution in Q3 2024. Quarterly figures In Q3 2024: Kaspersky solutions successfully blocked more than 652 million cyberattacks originating from various online resources. 2 China 0.95 3 Libya 0.68 4 South Korea 0.66

Mobile 105
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Unauthorized data access vulnerability in macOS is detailed by Microsoft

Malwarebytes

The vulnerability, tracked as CVE-2024-44133 was fixed in the September 16 update for Mac Studio (2022 and later), iMac (2019 and later), Mac Pro (2019 and later), Mac Mini (2018 and later), MacBook Air (2020 and later), MacBook Pro (2018 and later), and iMac Pro (2017 and later). Therefore, those apps can’t bypass the macOS TCC checks.

Adware 143
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New ReaderUpdate malware variants target macOS users

Security Affairs

New ReaderUpdate malware variants, now written in Crystal, Nim, Rust, and Go, targets macOS users, SentinelOne warns. SentinelOne researchers warn that multiple versions of the ReaderUpdate malware written in Crystal, Nim, Rust, and Go programming languages, are targeting macOS users. The malware maintains persistence via a.plist file.

Malware 74
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Lumma/Amadey: fake CAPTCHAs want to know if you’re human

SecureList

Attackers are increasingly distributing malware through a rather unusual method: a fake CAPTCHA as the initial infection vector. Most redirects lead to websites promoting security software, ad blockers, and the like – standard practice for adware. As with the previous stage, the victim doesn’t always encounter malware.

Adware 124
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AI and collaboration tools: how cyberattackers are targeting SMBs in 2025

SecureList

At the same time, AI-driven attacks are becoming increasingly common, making phishing and malware campaigns easier to prepare and quickly adapt, thus increasing their scale. This accounted for nearly 41% of all unique files detected, a 14-percentage point increase compared to 2024. Microsoft Teams 1.84% 5.10% 3.25

Adware 86