AI Tool Identifies Cryptomining Malware on Mac

A developer using Claude Code discovered hidden mining software that spiked CPU usage to 1175 percent.

Updated on Oct. 26, 2026 in Artificial Intelligence

Isometric editorial illustration of a metal CPU heat sink, representing the hardware diagnostics involved in identifying malicious system processes. — An AI-powered tool recently identified and quarantined hidden cryptomining malware on a Mac, highlighting AI's growing role in complex cybersecurity diagnostics. AI Illustration. Upload story photo >

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An artificial intelligence developer successfully identified and quarantined a cryptomining malware infection on a Mac using Claude Code. The discovery occurred after the user built an app to monitor system temperatures following concerns about performance.

Why it matters

This event highlights how generative AI tools can assist in cybersecurity by identifying malicious processes that consume excessive system resources. It demonstrates the utility of AI in diagnosing complex technical issues that might otherwise remain undetected by standard users.

The detected cryptomining malware resided within the system LaunchAgents folder and caused CPU usage to spike to 1175 percent. System temperatures reached a dangerous peak of 112 degrees Celsius, or 233.6 degrees Fahrenheit, before the software was quarantined.

The players

Claude Code

This is an artificial intelligence development tool capable of executing code, monitoring system parameters, and assisting in complex programming tasks.

macOS

This is the primary operating system developed by Apple for its line of Mac computers.

The details

After building a monitoring tool with Claude Code, the developer used the AI to check sensor accuracy, leading to the identification of the hidden miner. The AI partially quarantined the threat, and the developer completed the removal manually before confirming it with a third-party security check.

October 26, 2026: Article publication date.

The Tech Race

This incident highlights the ongoing struggle to secure the macOS LaunchAgents framework against unauthorized background execution. As AI tools gain more system-level access, they increasingly serve as a new frontline in the defense against resource-draining malware.

Users concerned about system performance can utilize similar AI-assisted diagnostic tools to identify hidden processes consuming excessive CPU cycles. Monitoring background activity remains essential, as hidden miners can lead to significant hardware degradation over time.

The takeaway

Developers and power users should leverage AI to monitor for anomalous system behavior that standard tools might miss. Maintaining a clean system requires routine audits of background processes to ensure that malicious software does not persist in critical system folders.