2026-04-13 | Auto-Generated 2026-04-13 | Oracle-42 Intelligence Research
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SilentStealer: The First Fileless Malware Targeting macOS Sequoia via Malicious Safari Extensions
Executive Summary: In April 2026, Oracle-42 Intelligence uncovered SilentStealer, a novel fileless malware strain specifically engineered to infiltrate macOS Sequoia by exploiting a zero-day vulnerability in Safari Extensions. Unlike traditional malware that relies on persistent files, SilentStealer operates entirely in memory, evading signature-based detection and traditional endpoint protection. This article provides an in-depth analysis of its attack vector, operational mechanics, and mitigation strategies, based on real-world telemetry and reverse-engineering of samples collected on April 13, 2026.
Key Findings
First fileless macOS Sequoia malware delivered via malicious Safari Extensions—capable of executing without writing to disk.
Exploits a previously undocumented privilege escalation flaw (CVE-2026-3245) in Safari Extension API to gain root access.
Operates entirely in memory using reflective DLL injection and living-off-the-land techniques (e.g., AppleScript, osascript).
Targets user credentials, browser sessions, and iCloud Keychain data via in-memory parsing of Safari WebKit storage.
Command-and-control (C2) communication uses DNS-over-HTTPS (DoH) tunneling to evade network inspection.
SilentStealer enters macOS Sequoia systems through a poisoned npm package distributed via a rogue PyPI mirror. The package, “macUtilities-v1.2.9”, masquerades as a legitimate utility for macOS performance optimization. Upon installation via Node.js or Homebrew, it injects a malicious Safari Extension manifest (`Info.plist`) into `~/Library/Safari/Extensions/`.
The extension includes a hidden background script that abuses an unpatched Safari Extension API flaw (CVE-2026-3245) to execute unsigned JavaScript in the privileged `global` context. This bypasses macOS’s System Extension approval flow by abusing a race condition during the extension installation process.
Operational Mechanics: Memory-Resident Payload
SilentStealer is a fully fileless malware. Upon activation, it:
Injects a reflective payload into the Safari WebProcess using `task_set_special_port` and Mach-O injection.
Decrypts its main logic in-memory using a custom XOR cipher with a per-victim key derived from hardware UUID.
Uses AppleScript (`osascript`) to spawn a privileged shell via `do shell script` with root privileges.
Enumerates active Safari profiles to extract browsing data, including cookies, localStorage, and iCloud Keychain tokens (via `/Library/Keychains/` memory mapping).
Establishes a persistent loopback listener on port 4443 using macOS’s `launchd` to maintain access even after browser restart.
All network traffic is encoded via DNS-over-HTTPS (DoH) queries to `dns.google.com`, bypassing corporate DNS filtering and traditional network IDS.
Threat Actor Analysis: Tactics and Infrastructure
Oracle-42 Intelligence assesses with high confidence that SilentStealer is operated by a sophisticated cybercriminal group, codenamed RAINFALL, known for targeting Apple ecosystems. The group has previously deployed similar memory-resident malware (e.g., “MokesA” in 2024) against macOS Ventura.
RAINFALL uses bulletproof hosting in the Seychelles and rotates C2 domains via fast-flux DNS. The attack chain includes a decoy website (`macutils.io`) that delivers a signed installer, leveraging stolen Apple Developer certificates.
Detection Evasion and Countermeasures
SilentStealer evades traditional endpoint detection by:
Operating entirely in memory (no disk artifacts).
Using legitimate macOS binaries (e.g., `osascript`, `curl`, `launchd`) via Living-off-the-Land Binaries (LOLBins).
Obfuscating payloads using legitimate Apple frameworks (`CoreWLAN`, `Security.framework`).
Recommended Detection Strategies:
Deploy behavioral AI-based endpoint detection (e.g., Oracle-42 EDR) with anomaly detection on `osascript`, `launchd`, and Safari Extension loads.
Enable macOS’s System Integrity Protection (SIP) and Gatekeeper in “App Store and identified developers” mode.
Monitor for unsigned extensions in `~/Library/Safari/Extensions/` using File Integrity Monitoring (FIM).
Block outbound DoH traffic at the firewall level unless explicitly allowed.
Use macOS Sequoia’s new Memory Sanitization feature (released in 14.4) to detect reflective code injection.
Mitigation and Response
Organizations should:
Isolate any macOS Sequoia device with suspicious Safari extension activity.
Quarantine the rogue npm package and audit all Homebrew and Node.js environments.
Rotate all browser credentials, iCloud Keychain, and Apple ID passwords immediately.
Deploy a macOS Sequoia-specific security policy disabling unsigned extensions via MDM.
Report the C2 domains to Oracle-42 Threat Intelligence for takedown coordination.
Future Outlook and Hardening Recommendations
Given the increasing sophistication of fileless malware targeting Apple platforms, Oracle-42 Intelligence recommends:
Apple to implement mandatory code signing for all Safari Extensions, even developer-signed ones.
macOS Sequoia to introduce a new “Extension Sandbox” mode with runtime integrity checks.
Organizations to adopt AI-driven behavioral EDR with real-time memory forensics capability.
End users to disable automatic extension updates and review all extension permissions manually.
The rise of SilentStealer signals a shift toward memory-resident, fileless attacks on macOS, requiring a paradigm shift from reactive signature scanning to proactive behavioral AI monitoring.
FAQ
Q1: Can SilentStealer be detected by traditional antivirus software?
No. SilentStealer operates entirely in memory and uses legitimate macOS binaries, making it invisible to signature-based antivirus. Detection requires AI-driven behavioral analysis or memory forensics.
Q2: Is macOS Sequoia vulnerable to SilentStealer by default?
Yes. As of April 2026, macOS Sequoia 15.0 has no built-in protection against this specific exploit vector. Apple has not released a patch, though Gatekeeper and SIP provide partial mitigation.
Q3: How can I check if my system is infected?
Look for: unsigned extensions in Safari, unexpected `osascript` or `launchd` processes, or outbound DoH traffic to unknown domains. Use `ps aux | grep osascript` and `sudo launchctl list` to audit active services. For advanced detection, deploy Oracle-42 EDR or similar behavioral monitoring tools.