LockBit Ransomware is now targeting Apple macOS devices

The year 2022 marked a significant increase in the number of ransomware attacks globally. Since then, there has been no respite for individuals and organizations who have continued to fall prey to ransomware groups throughout 2023. With the increase in ransomware attacks, cybercriminals have continued to develop sophisticated and advanced techniques to execute their attacks.

One of the known and more prolific ransomware groups is LockBit. On April 5, 2023, alarming news emerged when it was discovered that LockBit had developed a macOS-based payload. This development represents the first time a big-game ransomware crew has targeted macOS devices with their malware. Here’s what we know so far:

Development of macOS Payload by LockBit

According to reports from cybersecurity researchers, additional samples identified by Vx-underground show that the macOS variant of LockBit ransomware has been around since November 11, 2022. The LockBit ransomware has been known for its attacks targeted at Windows devices since late 2019. The new development of a macOS-based payload expands the attack surface of the ransomware group, which now has the capability to target both Windows and macOS devices.

LockBit’s Emergence as a Major Threat in Ransomware Attacks

According to statistics released last week by Malwarebytes, LockBit emerged as the second most used ransomware in March 2023 after Cl0p. The increase in the use of LockBit indicates the growing influence and capabilities of the ransomware group.

Analysis of the LockBit macOS Payload

An analysis of the new macOS version reveals that it is still a work in progress, relying on an invalid signature to sign the executable. The payload packs in files like “autorun.inf” and “ntuser.dat.log”, suggesting that the ransomware sample was originally designed to target Windows.

Impact on Apple Silicon

While the macOS variant of LockBit has been designed to run on Apple Silicon, its impact is limited. Apple’s implementation of the ARM64 instruction set and the use of the M1 processor have posed a significant barrier for cybercriminals to run their malicious payloads on Apple devices. According to Patrick Wardle, a cybersecurity expert, “Yes, it can indeed run on Apple Silicon, but that is basically the extent of its impact.”

Apple’s Safeguards Against LockBit

Apple has implemented additional safeguards to protect macOS users from ransomware attacks. These include System Integrity Protection (SIP) and Transparency, Consent, and Control (TCC). System Integrity Protection aims to prevent malware from modifying critical system files, while Transparency, Consent, and Control seeks to provide the user with more control over the data that applications on their devices can access.

Active development of LockBit’s macOS encryptor

A LockBit representative has confirmed to Bleeping Computer that the macOS encryptor is “actively being developed”. This confirmation raises concerns that LockBit might pose a significant threat to Apple’s operating system. As the LockBit ransomware group continues to develop advanced techniques to carry out their attacks, it’s crucial for users to keep their devices updated, implement strong security measures, and stay vigilant for any signs of a ransomware attack.

The emergence of LockBit’s macOS payload highlights the need for organizations and individuals to remain proactive in protecting their devices from ransomware. With Apple’s implementation of additional safeguards, it is harder for cybercriminals to execute attacks on macOS devices. However, as LockBit continues to develop its macOS payload, it is vital to remain vigilant, implement strong security measures, and educate oneself on ransomware threats. By staying informed and taking necessary precautions, users can minimize the threat posed by LockBit and other ransomware groups.

Explore more

Is Bad Data Architecture Stalling Your AI Ambitions?

The corporate landscape is littered with the wreckage of ambitious artificial intelligence projects that were doomed from the start because they were built upon the shifting sands of legacy data systems rather than a rock-solid architectural foundation. While the allure of generative models and autonomous agents captures the imagination of the executive suite, the practical reality of implementation often reveals

Enterprise Software Valuation – Review

The digital infrastructure underpinning the global economy has undergone a radical transformation as enterprise software moves beyond simple automation toward predictive, AI-integrated environments. This transition marks a departure from the legacy models of the past decade, placing a spotlight on how 191 US-listed firms with market capitalizations over $2 billion are being appraised. Current market sentiment focuses on the financial

Why Human Systems Are Essential for Successful AI Integration

The global rush to integrate artificial intelligence into every facet of business operations has led to a paradoxical situation where massive financial injections often result in stagnant growth and technical obsolescence. Across the globe, organizations are pouring billions into advanced algorithms, yet many find that these investments fail to deliver a measurable return. The prevailing assumption that a more powerful

The UN Establishes Global Framework for AI Governance

Secretary-General António Guterres has emphasized that while national actions are essential, global coordination remains indispensable to prevent a regulatory race to the bottom in AI development. This statement resonates deeply as the world faces a critical juncture where the speed of technological advancement consistently outpaces the slow-moving gears of traditional bureaucracy. In 2026, the proliferation of large-scale language models and

Can AI Balance Economic Growth With Global Risks?

The silence of a high-tech laboratory often masks the thunderous impact of its outputs, but today that impact is felt in every coffee shop and boardroom across the planet where silicon chips are redefining human capability. More than a billion individuals have now woven generative models into the fabric of their professional and personal existences, creating a momentum that moves