Friday, October 23, 2026

New ZipLine Campaign Targets Critical Manufacturing Firms with In-Memory MixShell Malware

Check Point Research has uncovered a highly persistent phishing operation dubbed ZipLine, which reverses traditional attack vectors by exploiting victims’ own “Contact Us” web forms to initiate seemingly legitimate business communications.

Targeting primarily U.S.-based manufacturing companies in supply chain-critical sectors, the campaign leverages prolonged email exchanges often spanning weeks to build trust before delivering malicious ZIP archives.

Initial Access Tactics

Attackers pose as potential partners, discussing non-disclosure agreements (NDAs) or, in recent waves, AI transformation initiatives framed as internal “AI Impact Assessments” to solicit victim input on operational efficiencies.

ZipLine Campaign
AI-Themed Phishing Email Used in ZipLine Campaign

This social engineering approach avoids reputation-based detections, as the victim initiates the email thread, and incorporates credible domains mimicking registered U.S. LLCs with templated websites featuring stock images for added legitimacy.

The payloads are hosted on abused platforms like Heroku, with dynamic content potentially tailored based on victim metadata such as IP addresses or user agents, ensuring stealthy delivery of in-memory implants without immediate suspicion.

The infection chain begins with a ZIP file containing benign lure documents a PDF and DOCX alongside a malicious LNK shortcut.

This LNK executes a PowerShell loader that scans predefined directories (e.g., Desktop, Downloads, Temp) for the ZIP, locates an embedded script via a marker string like “xFIQCV,” extracts it, bypasses AMSI by setting amsiInitFailed to true, and runs the script in memory after stripping “#” characters.

Persistence is achieved through TypeLib hijacking, modifying the registry CLSID {EAB22AC0-30C1-11CF-A7EB-0000C05BAE0B} to point to a malicious SCT file, which relaunches the payload via cmd.exe upon system events like Explorer invocations.

The script then decrypts XOR-encrypted shellcode (Base64-encoded) based on system architecture, using System.Reflection.Emit for in-memory execution via VirtualAlloc, minimizing disk footprints.

ZipLine Campaign
Social engineering flow of the ZipLine campaign.

MixShell Implant

At the core of ZipLine is MixShell, a custom shellcode-based backdoor that resolves Windows APIs via ROR4 hashing for evasion, parses an XOR-encrypted configuration block containing parameters like DNS domains, XOR keys, and lure names, and establishes a mutex from system identifiers (ProductId, InstallDate, SerialNumber) to ensure single-instance operation.

Command-and-control (C2) prioritizes DNS TXT tunneling with HTTP fallback, formatting subdomains as <prepend><hex(XOR result)><append>.<id_hex>.<time_hex>.<domain> for chunked, encrypted data transmission limited to 60 characters per query.

Supported commands include file operations, command execution via pipes, and reverse proxying for network pivoting, where MixShell relays traffic through handshakes involving zero-byte messages and dynamic IP/port redirects.

A PowerShell variant of MixShell enhances evasion by scanning for debuggers (e.g., WinDbg, Wireshark), sandbox artifacts (e.g., VBox pipes), and virtualization indicators (e.g., low RAM/CPU cores), while using scheduled tasks for persistence and CRC32-hashed ProductIDs for victim fingerprinting.

Infrastructure analysis reveals domains like tollcrm[.]com resolving to IPs such as 172.210.58[.]69, linked to potential management panels and overlapping with prior campaigns like TransferLoader, suggesting ties to financially motivated actors like UNK_GreenSec.

Victimology spans industrial manufacturing, semiconductors, biotech, and energy sectors, with over 80% U.S.-focused, targeting both enterprises and SMBs for proprietary data or supply chain exploitation.

Defenders should monitor inbound forms, extended correspondences, and DNS anomalies, as Check Point Harmony Email & Collaboration employs AI-driven analysis to thwart such multi-stage threats through contextual phishing detection and threat emulation.

Indicators of Compromise (IOCs)

CategoryIOC
Hashese69d8b96b106816cb732190bc6f8c2693aecb6056b8f245e2c15841fcb48ff94
d39e177261ce9a354b4712f820ada3ee8cd84a277f173ecfbd1bf6b100ddb713
f531bec8ad2d6fddef89e652818908509b7075834a083729cc84eef16c6957d2
2c7bc0ebbbfa282fc3ed3598348d361914fecfea027712f47c4f6cfcc705690f
71dec9789fef835975a209f6bc1a736c4f591e5eeab20bdff63809553085b192
83b27e52c420b6132f8034e7a0fd9943b1f4af3bdb06cdbb873c80360e1e5419
f5a80b08d46b947ca42ac8dbd0094772aa3111f020a4d72cb2edc4a6c9c37926
15d024631277f72df40427b8c50e354b340fac38b468f34826cc613b4650e74c
155bccbd11066ce5bf117537d140b920f9b98eaa0d3b86bdc8a04ac702a7a1ef
4dcff9a3a71633d89a887539e5d7a3dd6cc239761e9a42f64f42c5c4209d2829
d6e1e4cc89c01d5c944ac83b85efa27775103b82fece5a6f83be45e862a4b61e
81c1a8e624306c8a66a44bfe341ec70c6e3a3c9e70ac15c7876fcbbe364d01cd
36b065f19f1ac2642c041002bc3e28326bec0aa08d288ca8a2d5c0d7a82b56e6
f44107475d3869253f393dbcb862293bf58624c6e8e3f106102cf6043d68b0af

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Aman Mishra
Aman Mishra
Aman Mishra is a Security and privacy Reporter covering various data breach, cyber crime, malware, & vulnerability.

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