Threat actors are employing AI to build malware for Macs

The rise of artificial intelligence has created new opportunities for cybercriminals to develop sophisticated malware targeting Mac computers, with significant implications for cybersecurity across the Apple ecosystem.

Key findings from new research: Moonlock Lab’s 2024 Threat Report reveals concerning trends in how artificial intelligence is transforming the landscape of Mac-focused cybercrime.

• ChatGPT and other AI tools are being actively used by threat actors to create malware scripts, even without prior coding experience
• A Russian-speaking threat actor demonstrated how they developed a macOS stealer using only AI assistance
• The accessibility of AI tools has dramatically lowered the technical barriers for creating sophisticated malware

AI’s impact on cybercrime: The democratization of malware development through AI tools represents a significant shift in how cyber threats are created and deployed.

• AI systems can now guide users through complex malware creation processes with simple prompts
• Technical expertise is no longer a prerequisite for developing harmful software
• This transformation effectively decentralizes cybercrime, making it accessible to a broader range of bad actors

The rise of Malware-as-a-Service: A parallel trend showing growing sophistication in cybercrime business models has emerged in 2024.

• Cyber gangs like AMOS have established profitable MaaS operations
• Monthly subscription fees for malware services have dropped to approximately $1,500, down from tens of thousands previously
• The RaaS (Ransomware-as-a-Service) model allows operators to take a percentage of ransom payments

Darknet developments: The underground marketplace for Mac-focused malware has shown increased activity and sophistication.

• Discussions about bypassing macOS defenses have surged
• New providers like RansomHub have entered the market, increasing competition
• The combination of AI tools and MaaS has created a more accessible ecosystem for potential cybercriminals

Essential protection measures: Several key defensive strategies can help Mac users protect against these evolving threats.

• Regular software updates are crucial for maintaining security
• Applications should only be downloaded from trusted sources
• Third-party security solutions can provide additional protection through real-time malware detection

Future implications: The convergence of AI capabilities and malware-as-a-service platforms suggests a concerning trajectory for Mac security.

• The accessibility of these tools could lead to a surge in Mac-targeted attacks
• Traditional security measures may need to evolve to address AI-generated threats
• The myth of Macs being immune to malware becomes increasingly dangerous in this new landscape