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MacOS.Gaslight Rust infostealer-backdoor with Telegram Bot API channel

Malware Activity
First reported
Last updated
Happening score
H score 30
1 unique sources, 1 articles

Summary

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Researchers identified macOS.Gaslight, a North Korea-linked Rust infostealer-backdoor that can steal Chrome, Brave, Firefox and Safari data, terminal histories, installed-app lists and the macOS login keychain. The sample also offers an interactive shell and routes command traffic through Telegram's Bot API, using encryption and certificate pinning to resist inspection. It embeds 38 fabricated system messages to derail AI-assisted triage before defenders can analyze the implant normally. The blend of credential theft, covert command handling and analysis sabotage increases the risk of unauthorized access and prolonged defender blindness.

Related Happenings

MacOS.Gaslight prompt-injection technique aimed at AI-assisted triage

Technical Analysis
H score23 First: 24.06.2026 17:00 Last: 24.06.2026 17:00 Sources 1

How related: SentinelLabs, the research arm of SentinelOne, said the Rust implant embedded 38 fabricated system messages designed to derail AI-assisted triage.

About this happening: **macOS.Gaslight** now uses **prompt injection** to disrupt **AI-assisted malware triage**, increasing the chance that defender tooling aborts or misreads analysis. The **Rust imp...

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Malware Activity
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Timeline

  1. 24.06.2026 17:00 2 articles · 4h ago

    SentinelLabs identifies macOS.Gaslight as a North Korea-linked backdoor with prompt injection

    Initial Disclosure

    SentinelLabs disclosed macOS.Gaslight, a Rust macOS backdoor tied with high confidence to North Korean activity, and said the sample embeds 38 fabricated system messages to derail AI-assisted triage. The implant also functions as an infostealer and backdoor, offering an interactive shell, collecting browser data from Chrome, Brave, Firefox and Safari, terminal histories, installed-app lists and the macOS login keychain, and routing command traffic through Telegram's Bot API with encryption and certificate pinning. SentinelLabs also noted runtime Python staging, Telegram bot token scrubbing and an Apple XProtect hit that helped support attribution.

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