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Home/Threats/JINX-00164 Threat Actor Uses LinkedIn to Deploy macOS Malware
Threats

JINX-00164 Threat Actor Uses LinkedIn to Deploy macOS Malware

Key Takeaways A new threat actor, JINX-0164, is targeting cryptocurrency organizations and developers through sophisticated social engineering on LinkedIn. The group deploys custom macOS malware,...

Jennifer sherman
Jennifer sherman
May 29, 2026 5 Min Read
63 0

Key Takeaways

  • A new threat actor, JINX-0164, is targeting cryptocurrency organizations and developers through sophisticated social engineering on LinkedIn.
  • The group deploys custom macOS malware, AUDIOFIX and MINIRAT, capable of extensive data theft and persistent remote access.
  • Initial infections lead to supply chain attacks by injecting malicious code into development repositories and trojanizing legitimate npm packages.
  • Attackers use commercial VPNs and actively tamper with Git commit metadata to evade detection and impersonate developers.

Threat Actor JINX-0164 Leverages LinkedIn for macOS Malware Deployment

A recently identified threat actor, dubbed JINX-0164, is orchestrating highly targeted campaigns against cryptocurrency firms, exploiting LinkedIn to trick developers into downloading custom macOS malware. Active since at least mid-2025, this financially motivated group seamlessly integrates social engineering, credential theft, and supply chain sabotage, posing a significant risk to the software development lifecycle.

Table Of Content

  • Key Takeaways
  • Threat Actor JINX-0164 Leverages LinkedIn for macOS Malware Deployment
  • The JINX-0164 Modus Operandi
  • AUDIOFIX: A Comprehensive macOS Infostealer
  • Initial Compromise and Lateral Movement
  • Supply Chain Attack via Trojanized npm Package
  • What You Should Do

The attackers initiate contact via meticulously crafted LinkedIn profiles, presenting enticing business or job opportunities. Once a rapport is established, targets receive meeting invitations directing them to counterfeit conferencing platforms, meticulously designed to mimic services like Microsoft Teams. Clicking these deceptive links triggers the download of a macOS-specific remote access tool, which then stealthily begins exfiltrating sensitive data.

The JINX-0164 Modus Operandi

Security researchers at Wiz.io, who identified and named the JINX-0164 threat cluster, have detailed multiple intrusions against cryptocurrency organizations. In a report shared with Cyber Security News, Wiz CIRT and Wiz Research confirmed the actor’s financial motivation and their deployment of two distinct macOS malware families: AUDIOFIX and MINIRAT.

Attack Chain (Source - Wiz.io)
Attack Chain (Source – Wiz.io)

AUDIOFIX: A Comprehensive macOS Infostealer

AUDIOFIX is a Python-based infostealer and backdoor, designed to harvest a wide array of sensitive information. This includes browser credentials, cryptocurrency wallet extensions, SSH keys, cloud API tokens, and real-time clipboard data. The malware establishes encrypted HTTPS communication with its command-and-control (C2) server using AES-256-CBC encryption and can dynamically adjust polling intervals to evade detection. Furthermore, AUDIOFIX targets active sessions on popular communication platforms such as Discord, Slack, and Telegram, providing attackers with a broad overview of a victim’s digital activities. For a detailed breakdown of the attack chain and malware capabilities, refer to the Wiz.io’s detailed report.

Initial Compromise and Lateral Movement

A documented attack chain unfolded over two weeks, escalating from a LinkedIn message to a full infrastructure compromise. After a developer clicked a malicious meeting link, a bash dropper script hosted on a fake driver update domain delivered the AUDIOFIX payload. The malware disguised itself as a legitimate system audio component, named coreaudiod, and was saved as ChromeUpdater. It achieved persistence by launching through launchctl.

Upon gaining a foothold, AUDIOFIX proceeded to harvest credentials from macOS Keychain, web browsers, and cloud configuration files, including AWS, GCP, Azure keys, and Cloudflare API tokens. Attackers then leveraged stolen GitHub tokens to exfiltrate secrets from CI/CD pipelines using the open-source tool nord-stream. They further propagated the infection by pushing malicious code into shared repositories, ensuring that any developer pulling from those branches would unknowingly incorporate the AUDIOFIX malware.

Supply Chain Attack via Trojanized npm Package

On April 7, 2026, JINX-0164 broadened its attack surface by targeting the software supply chain directly. The group surreptitiously modified version 4.9.1 of the npm package @velora-dex/sdk, a widely used cryptocurrency SDK. This modification appended code designed to download and execute a shell script whenever the package was imported into any project.

This shell script then delivered MINIRAT, a lightweight Go-based backdoor. While MINIRAT doesn’t perform automated data theft on the same scale as AUDIOFIX, it provides operators with persistent remote access, command execution capabilities, and file transfer functionality. Importantly, in this particular incident, only the npm credentials were compromised, with the corresponding GitHub source code remaining untampered. Additional technical details and indicators of compromise are available in the Wiz.io blog post.

What You Should Do

  • Implement EDR Solutions: Deploy robust Endpoint Detection and Response (EDR) solutions across all endpoints, especially macOS devices, to detect and respond to anomalous activity.
  • Enhance Audit Logging: Enable comprehensive audit logging by default across all cloud platforms (AWS, GCP, Azure), version control systems (GitHub), and CI/CD pipelines.
  • Monitor Version Control Systems: Actively monitor GitHub for unverified commits, commits with mismatched or unsigned authors, and unusual activity from specific Git committers like nord-stream / [email protected]. Consider enabling GitHub Vigilant Mode.
  • Scrutinize Network Traffic: Watch for unexpected VPN usage from commercial providers such as ExpressVPN, Astrill VPN, and Mullvad VPN, which attackers use to mask their activities.
  • Review CI/CD Pipeline Activity: Continuously monitor CI/CD pipelines for anomalous workflow activity, unauthorized changes, and the use of tools like nord-stream for secret exfiltration.
  • Verify New Package Publications: Flag and investigate any new code package publications originating from unfamiliar or suspicious IP addresses.
  • Strengthen Social Engineering Defenses: Educate developers and employees about the risks of sophisticated social engineering attacks via LinkedIn and other professional networking platforms. Emphasize caution with unsolicited job offers or business opportunities.
  • Implement Multi-Factor Authentication (MFA): Enforce MFA on all critical accounts, especially for developer tools, cloud platforms, and social media.
  • Regularly Rotate Credentials: Implement a policy for regular rotation of API keys, tokens, and other sensitive credentials, particularly for GitHub, npm, and cloud services.

Indicators of Compromise (IoCs):-

Type Indicator Description
SHA-256 0a8ab3d16b12d3a453ee5a3208fe04744ad54514ef8ea27bb8fe32679efad270 MINIRAT ARM64
SHA-256 0b028b781950641818800fee2b4bf68e4ef2bcee53fe71a21755275ba10875f5 MINIRAT x86_64
SHA-256 a35d2b67fa478a7174e308b43ce30bf69b3bc6f44fa76197fdf95fc2fbc1cf7d MINIRAT ARM64 (variant)
SHA-256 65cba741fe30fa4799fb9002ea8de6d96042a59159dd7c3419c766af24c7a8b4 AUDIOFIX HTTPS/ARM64
SHA-256 0b1a36a31b952341a534fe24890f1ed2921ee259773cff46e4f6273b8c4d5e3a AUDIOFIX HTTPS/x86_64
SHA-256 e8ee6f5145c9d503c5130bfc6585567f6e19d409158c3c0ca0b259f1875b1a2f AUDIOFIX Dropbox/ARM64
SHA-256 3e3901519c2305fbe9d5483b7234c25c6d2b562512916481d96f26b849c7d4e1 AUDIOFIX Dropbox/x86_64
SHA-256 9c2ce925133a3bf5a924063bbef8df49918d5b7258695c1894cd18c75970157a Dropper – Fake audio fix (apple.driver-store.com)
SHA-256 402625ec79e3573a80b6de9b33fc1e503e3c7803603cd958ddd515fb0e4a3c91 Dropper – Fake audio fix (apple.driver-update.io)
SHA-256 b6cab0b3aa8e56e2427f486c74588d598ae58bb0cbc0eda6939fe171cb4f2d89 Dropper – Fake audio fix (driver-updater.net)
SHA-256 d4e863f9818bfb2f1dd932df6441dff204e6142c3bdb55b298cb08dc7b6a9f12 Dropper – Fake Chrome update (apple.driver-store.com)
SHA-256 c6ef82d2864dfd26f117a1ef5602679153423f2742970a7949cec72722f0a0b3 Dropper – Supply chain (89.36.224.5)
SHA-256 2a10ffe0367bb1b26ba2c3bc600892c21074725c0b8c9dc9161e6ceb339f4d5c Dropper – Supply chain (89.36.224.5, variant)
Domain datahub[.]ink Primary C2 domain (resolves to 208.115.220.17 / 185.175.59.85)
Domain cloud-sync[.]online Backup C2 domain
Domain byte-io[.]us Backup C2 domain
Domain apple[.]driver-store[.]com Payload delivery domain
Domain apple[.]driver-update[.]io Payload delivery domain
Domain driver-updater[.]net Payload delivery domain
Domain driver-hub[.]net Payload delivery domain
Domain drvstore[.]com Payload delivery domain
Domain bitget-meeting[.]com Meeting spoofing domain
Domain teamicrosoft[.]com Meeting spoofing domain (Teams impersonation)
Domain teams[.]cam Meeting spoofing domain
Domain live[.]us[.]org Meeting spoofing domain
Domain us03-slack[.]online Meeting spoofing domain (Slack impersonation)
Domain live[.]ong Meeting spoofing domain
IP Address 89[.]36[.]224[.]5 Payload delivery server
IP Address 185[.]100[.]85[.]250 Meeting spoofing infrastructure
IP Address 84[.]32[.]83[.]250 Meeting spoofing / payload delivery infrastructure
IP Address 153[.]92[.]126[.]84 Meeting spoofing infrastructure
IP Address 45[.]45[.]217[.]242 Meeting spoofing infrastructure
IP Address 163[.]172[.]53[.]20 Meeting spoofing / payload delivery infrastructure
IP Address 208[.]115[.]220[.]17 C2 server (datahub.ink)
IP Address 185[.]175[.]59[.]85 C2 server (datahub.ink)
File Path ~/Library/LaunchAgents/com.microsoft.teams.coreaudiod.plist Persistence mechanism (Python RAT)
File Path ~/Library/LaunchAgents/io.aircall.workspace.helper.plist Persistence mechanism (Python RAT)
File Path ~/Library/LaunchAgents/com.apple.Terminal.profiler.plist Persistence mechanism (MINIRAT)
File Path ~/.zsh_cache XOR-encoded stolen macOS password
File Path /helper.log Malware activity log
File Path /tokens.txt Exfiltrated Discord tokens
File Path /clip Clipboard capture log
File Name ChromeUpdater AUDIOFIX payload saved under this name
File Name coreaudiod Payload masquerading as system audio driver
npm Package @velora-dex/sdk v4.9.1 Trojanized npm package used in supply chain attack
AES Key v59l2uwlow9s1ebuscgfg9k9r4voxkbs Shared AES key found in both AUDIOFIX and MINIRAT samples
Git Committer nord-stream / nord-stream@localhost.

Disclaimer: HackersRadar reports on cybersecurity threats and incidents for informational and awareness purposes only. We do not engage in hacking activities, data exfiltration, or the hosting or distribution of stolen or leaked information. All content is based on publicly available sources.

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Jennifer sherman

Jennifer sherman

Jennifer is a cybersecurity news reporter covering data breaches, ransomware campaigns, and dark web markets. With a background in incident response, Jennifer provides unique insights into how organizations respond to cyber attacks and the evolving tactics of threat actors. Her reporting has covered major breaches affecting millions of users and has helped organizations understand emerging threats. Jennifer combines technical knowledge with investigative journalism to deliver in-depth coverage of cybersecurity incidents.

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