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Malicious Go Module Exposes GitHub Malware Lure Network Spanning 222 Repositories

0
Medium
Published: 07/09/2026 (07/09/2026, 08:24:59 UTC)
Source: AlienVault OTX General

Description

A malicious Go module posing as a DNS/subdomain scanner exposed a sophisticated Windows malware staging operation utilizing commit-farming workflows, public dead drops, and protected archives to deploy RAT and infostealer malware. The operation, tracked as 'Muck and Load', leverages a GitHub-based infrastructure comprising 222 confirmed repositories across 190 accounts designed to appear active and legitimate through automated GitHub Actions workflows. The attack chain begins with a deceptive Go module that downloads encoded PowerShell content, which then queries multiple public platforms including Pastebin, Telegram, YouTube, and Instagram as dead drops for encrypted payload locations. The loader retrieves password-protected archives containing AsyncRAT, Quasar, Remcos, and Vidar infostealer payloads, executing them from masqueraded Microsoft-themed directories. At least 14 malware files were confirmed across the repository network.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 07/09/2026, 11:47:50 UTC

Technical Analysis

The 'Muck and Load' operation leverages a malicious Go module distributed via GitHub repositories to stage Windows malware infections. The attack chain starts with a deceptive Go module that downloads encoded PowerShell content. This loader queries multiple public platforms (Pastebin, Telegram, YouTube, Instagram) serving as dead drops for encrypted payload locations. The payloads are password-protected archives containing RAT and infostealer malware families including AsyncRAT, Quasar, Remcos, and Vidar. The infrastructure consists of 222 repositories across 190 GitHub accounts, maintained with automated GitHub Actions workflows to simulate legitimate activity. The malware executes from masqueraded Microsoft-themed directories, complicating detection. This operation demonstrates a complex use of commit-farming workflows and public dead drops to evade traditional security controls.

Potential Impact

This threat enables attackers to deploy remote access trojans (RATs) and infostealer malware on Windows systems, potentially leading to unauthorized access, data theft, and system compromise. The use of a large, distributed GitHub infrastructure and public dead drops complicates detection and takedown efforts. The malware families involved are known for stealing sensitive information and enabling persistent remote control, which can result in significant operational and data security impacts for affected organizations.

Defensive Guidance

No official patch or remediation is available as this threat involves malicious use of public repositories and social engineering rather than a software vulnerability. Organizations should avoid using untrusted or unknown Go modules, especially those related to DNS or subdomain scanning, and perform thorough code reviews before integrating third-party modules. Monitoring for unusual PowerShell activity and network connections to public platforms used as dead drops can aid detection. GitHub repository owners should be vigilant against account compromise and unauthorized repository creation. Since this is not a cloud service, remediation depends on user vigilance and security controls. Patch status is not yet confirmed — check vendor advisories or security community updates for any emerging mitigations.

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Technical Details

Author
AlienVault
Tlp
white
References
["https://socket.dev/blog/malicious-go-module-exposes-github-malware-lure-network"]
Pulse Id
6a4f5adbd8cb65e0d44c0d53

Indicators of Compromise

Domain

ValueDescriptionCopy
domainrlim.com
—
domainmuckdeveloper.com
—
domainmuckcoding.com
—

Hash

ValueDescriptionCopy
hashb27f694c974b44fe2f4a8a25680997db574fa35686c30fa4c4dc9dd4ec40005e
—
hashec1cac2ada6726623b4bafb94c204c359ce7cdf5325909137fc0e6aef506783f
—
hash2f416aac027f19f563cc45e3b4b72e992aaafb63da27f968b9a76a391134dc7d
—
hash458e4c64738e8f46e997eea7cb32a296
—
hash1a9bbae96ab7a852312b802fd3694211f3bbc43f
—
hash9df11356c5ac61d2aa7b5425e6322fc016b0ed5790dacb201396500b3eee03f7
—
hash129de16fe69763f767d8249279a2c4a1a6deafadd1a84563bd84b258ea010bff
—
hash86819efe7319b664920ba2e1fd4b079a4e6b5eaaebeeb1adb2c1c8dc3c81ee0c
—
hash57e0449fb13766b0b2f7c057b1f89911e9ed23cac7e71d5d69fde47571239629
—
hashe576a61e1a2ba71e764647bb2f0883c2f8fa4d591799c60d21a84230ee7a5b63
—
hash51cada347262d7b2bcde70552fcdae221625ad75435cee8a9c3e7b67cc47a807
—
hash969b0bfd605aa2cddf353f3638b0dee26b1c2305600231e055fa6d7786a879fe
—
hash73c807df26427d6631088a822fa54c30975afbe681a9d83eff5d19e5b075d6c2
—
hasha628ad47fe93ee7413cca90aeca8f9540bfcd5ccdbeb4d9914670b3ef66247f4
—
hash4ea1c577247b149489506b230e7aa203e1a2fa124109c6056d1986e944f520a4
—
hash235a64e3520b1c2c27763122b303f78aee8d7c083dfd9f1eb936cd5174383609
—
hash33497c69c21fa96bbc96f1d7f09608e462f8ab22555364977c0bd35fef27bc29
—
hash45126b353f1636103da356121cd00b229b635b41b99d91166e6d7d9037482242
—
hash810614290bdb14d2ddf10f65f8adc988a8272764f2a9e2c378e52fad162da344
—
hash938054c6bb7dc737fce16513b2882808f199c2f892f808d439525a1650d49089
—
hasha2e7989742c6b6436ebb47507881946e4f662080dff71d104eb9a9554f38af7a
—
hashd7747e7a3c782009f4ceb6e9c106115876386853929563b509da5258e3968d15
—
hashd95bba20f04687b0b821d4fc0a17137db8b9eda5fe3fb34da319abefc45fe0d1
—
hashe73491065d86b1ad69229bb5d2019e08b947e11a2a57adf5c2d9a2b5d8f4acad
—
hashf245956c930f220f0bedf355a751a5cd738b4ec6bb6c5d584199ab3fa6c0a1c4
—
hash0aaea95ad6ef4a9baf02ae05289af617
—
hash64eb7ad3aaf9b6639ccc5c0b30b6e59f
—
hashcba1927cf6959dc99ecbd0c553e4db6f
—
hashebf10abb661350779d24d849f828eb0b
—
hash1eb377e01e1e649b3290efb0160f25cb5d13bd21
—
hash25d585a291235936eca70402fbb567017aad860a
—
hash2d1887930758b98b1a09f2f656079599f88a6bf6
—
hash7f2d59cfdf2b0550d22ac54d0b1fa5ac8f8b5f57
—

Url

ValueDescriptionCopy
urlhttps://muckcoding.com/LG-LW/Api-Certificate
—
urlhttps://rlim.com/MicrosoftCur/raw
—
urlhttps://muckdeveloper.com/LGTV/MicrosoftCur
—
urlhttp://muckcoding.com/LG-LW/Api-Certificate
—

Threat ID: 6a4f86cf68715ace433d713c

Added to database: 07/09/2026, 11:32:31 UTC

Last enriched: 07/09/2026, 11:47:50 UTC

Last updated: 10/03/2026, 21:56:13 UTC

Views: 275

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