More_eggs is a modular JavaScript backdoor and downloader associated with the financially motivated threat actor commonly tracked as Golden Chickens, also known as Venom Spider. It has been offered as a malware-as-a-service toolset and has been used both by its operators and by other criminal groups, including FIN6, Cobalt Group, and Evilnum. Security practitioners also encounter the aliases SKID, SpicyOmelette, and Terra Loader in reporting tied to the same malware ecosystem or closely related components.
The malware is primarily used to gain initial footholds, profile compromised systems, steal sensitive information, and deliver follow-on payloads. Documented capabilities include collecting host and user information, identifying installed security products, checking internet connectivity, establishing persistence, executing arbitrary JavaScript, creating reverse-shell style access through supporting loaders, and downloading or launching additional malware. Variants and related components have also been described as capable of reconnaissance in payment-processing and ATM-related environments. More_eggs communications have been observed using encrypted traffic with basE91 encoding.
More_eggs is strongly associated with socially engineered intrusion chains, especially fake job and recruiter-themed campaigns. Common delivery patterns include phishing emails, malicious links, password-protected or lure-bearing archives, shortcut files, malicious documents, and staged JavaScript loaders. Campaigns have frequently targeted human resources and recruiting workflows, with attackers impersonating job applicants or staffing firms to build trust before delivering the malware. Victims have included organizations in retail, entertainment, pharmacy, financial services, fintech, and other sectors involved in online payments.
Operationally, More_eggs often relies on living-off-the-land and signed-binary proxy execution techniques to reduce detection. Reported infection chains have abused legitimate Windows utilities and binaries to launch scriptlets, process malicious configuration data, execute DLLs, and maintain stealth. Associated loaders and DLL stages have incorporated anti-sandbox, anti-analysis, and anti-debugging measures before decrypting and deploying the backdoor. The malware’s modular design and use by multiple financially motivated actors have made it a recurring initial-access and post-compromise tool in credential theft, fraud, and broader intrusion activity.
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6 CVEs Mallory has correlated with this family across public research and vendor advisories. Each row links to the full Mallory page for that vulnerability.
VenomKit We use this name to describe documents generated by a builder purchased from the same seller as Taurus builder. Depending on the variant it may exploit CVE-2017-0199, CVE-2017-8570, CVE-2017-8759, CVE-2017-11882, CVE-2018-0802, and/or CVE-2018-8174.
VenomKit We use this name to describe documents generated by a builder purchased from the same seller as Taurus builder. Depending on the variant it may exploit CVE-2017-0199, CVE-2017-8570, CVE-2017-8759, CVE-2017-11882, CVE-2018-0802, and/or CVE-2018-8174.
VenomKit We use this name to describe documents generated by a builder purchased from the same seller as Taurus builder. Depending on the variant it may exploit CVE-2017-0199, CVE-2017-8570, CVE-2017-8759, CVE-2017-11882, CVE-2018-0802, and/or CVE-2018-8174.
VenomKit We use this name to describe documents generated by a builder purchased from the same seller as Taurus builder. Depending on the variant it may exploit CVE-2017-0199, CVE-2017-8570, CVE-2017-8759, CVE-2017-11882, CVE-2018-0802, and/or CVE-2018-8174.
VenomKit We use this name to describe documents generated by a builder purchased from the same seller as Taurus builder. Depending on the variant it may exploit CVE-2017-0199, CVE-2017-8570, CVE-2017-8759, CVE-2017-11882, CVE-2018-0802, and/or CVE-2018-8174.
VenomKit We use this name to describe documents generated by a builder purchased from the same seller as Taurus builder. Depending on the variant it may exploit CVE-2017-0199, CVE-2017-8570, CVE-2017-8759, CVE-2017-11882, CVE-2018-0802, and/or CVE-2018-8174.
3 distinct threat actors attributed by public researchers. Open in Mallory to see the full evidence chain and overlapping campaigns.
With the possibility that it could be More_Eggs, we began analyzing reports... As you can see, not all milestones in this case are covered... We tried to recover the More_Eggs but it was not possible.
The More_Eggs malware, operated by the financially motivated Venom Spider (aka Golden Chickens) group, is a potent JavaScript backdoor sold as Malware-as-a-Service (MaaS) to threat actors like FIN6 and Cobalt Group.
Among the tools used by the Evilnum group are More_eggs, TerraPreter, TerraStealer, and TerraTV.
31 distinct techniques documented for this family, organized by ATT&CK tactic.
The URLs link to a landing page that spoofs a real talent and staffing management company... The landing page initiates a download of a Microsoft Word file.
These campaigns demonstrated considerable variability... Completely benign emails without a malicious attachment or URL attempting to further establish rapport.
Known for targeting human resources (HR) departments, it exploits the trust in job application emails to deliver malicious payloads.
it attempts to create a new regsrv32 process to execute the DLL using Windows Management Instrumentation (WMI) ... Subsequently, it initiates the creation of the MSXSL process using the WMI service.
download and execute a scriptlet from a location stored in the "ie4uinit.inf" file
During the 2016 Ukraine Electric Power Attack, Sandworm Team used the xp_cmdshell command in MS-SQL. During the 2025 Poland Wiper Attacks, the adversaries leveraged PsExec to run cmd.exe commands on multiple victim machines. Numerous malware families and groups are described as using cmd.exe, cmd /c, Windows command shell, or command-line interfaces to execute commands, payloads, reconnaissance, persistence, cleanup, and ransomware actions.
Figure 4: Example malicious Microsoft Word document that uses macros to download More_eggs.
The extracted command line argument contains heavily obfuscated batch script code... through variable fragmentation, redundant code, and syntactic manipulation.
The ieuinit.inf file mimics a Windows INF file, complete with fake sections like [version]. In reality, it’s a playbook for ieuinit.exe , packed with encoded data.
The content repeatedly describes threat actors and malware deleting files, tools, scripts, logs, droppers, staged data, and artifacts from compromised systems to cover tracks, remove evidence, or self-delete.
The content repeatedly describes malware and threat actors decoding, decrypting, deobfuscating, or unpacking payloads, strings, configuration data, commands, and C2 responses prior to execution or use.
A legitimate Windows binary, ieuinit.exe , is abused by More_Eggs to execute malicious tasks without raising alarms.
it attempts to create a new regsrv32 process to execute the DLL using Windows Management Instrumentation (WMI)
an execution of msxsl launching another txt with a similar pattern was observed, abusing this LOLBAS to execute malicious code
The content repeatedly describes malware and threat actors using commands and APIs such as ipconfig /all, ifconfig, arp -a, route print, nbtstat, netsh, GetAdaptersInfo, and GetIpNetTable to gather IP addresses, MAC addresses, DNS, DHCP, gateways, routing tables, ARP cache, proxy settings, domains, and network adapter/interface details.
The content repeatedly describes malware and threat actors collecting usernames, identifying logged-in users, running whoami/query user/quser, checking whether the current user is an administrator, enumerating user sessions, and gathering account details from compromised hosts.
The content is a long ATT&CK-style listing of malware and threat actors that collect host details such as OS version, hostname, architecture, CPU, memory, BIOS, language, and other basic system characteristics; examples include use of commands like systeminfo, ver, uname, sw_vers, and WMI queries.
Digging into the JS file proved tricky due to its anti-debugging features...
...a modular payload that steals system info and contacts C2 servers.
The content repeatedly describes threat actors and malware using HTTP and HTTPS for command and control, such as: "Sandworm Team used BlackEnergy to communicate between compromised hosts and their command-and-control servers via HTTP post requests."
71 indicators attributed across vendor reports, sandbox runs, and researcher write-ups. Full values are available in Mallory.
IPs, domains, and DNS infrastructure linked to this family.
File hashes (MD5, SHA-1, SHA-256) from samples and reports.
Other indicator types observed in public reporting.
61 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
A backdoor used in social-media spearphishing campaigns, delivered via malicious resumes/ZIPs to provide remote access/control of victim systems.
A malware suite observed using obfuscated batch/command content in .lnk-based execution chains; shown using variable substitution to construct C2 URLs and commands.
"...including the Kaseya MSP breach and the more_eggs malware."
Malware suspected and later correlated in the FIN6 case; used in a campaign involving msxsl, scripts disguised as .txt/.js, LNK-triggered execution, ZIP-delivered payloads, and job-themed lures.
Match every observed IP, domain, and hash against your live telemetry.
Named campaigns wielding this family, with evidence pinned to each claim.
CVEs this family uses for access and lateral movement.
YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.
Every documented technique, ranked by evidence weight.
Reddit, Mastodon, and CTI community discussion around this family.