TF-1933819
high
📛 Threat Title
Unknown Loader: Domain name that delivers a malware payload themovementprinciple.com
Description
Indicator that identifies a malware distribution server (payload delivery). IOC type: Domain name that delivers a malware payload. Attributed malware: Unknown Loader. Confidence: 75. First seen: 2026-09-25 16:07:29 UTC. Reporter: varysz. Tags: etherhiding, victim.
Indicators of Compromise (1)
Each indicator is enriched from the IOC database, threat-intel feed corroboration (Threat Hunt) and VirusTotal. Click one to expand.
domain
themovementprinciple.com
VT 1 / 91
UrlVoid 3 / 36
IOC database
- Type
- domain
- Value
themovementprinciple.com- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
- Description
- Ingested from IOC source: https://threatfox.abuse.ch/downloads/hostfile/
Threat Hunt — feed corroboration
Not present in any configured threat-intel feed.
Flagged by 1 of 91 VirusTotal vendors
| Vendor | Verdict | Detection |
|---|---|---|
| SOCRadar | suspicious | suspicious |
Details From VirusTotal
Basic Properties
| Registrar | ENOM, INC. |
| TLD | com |
History
| Creation date | 2021-05-14 21:19 UTC |
| Last analysis | 2026-09-25 17:18 UTC |
| Last modified on VirusTotal | 2026-09-25 23:05 UTC |
| Last WHOIS update | 2026-08-28 11:50 UTC |
| WHOIS record date | 2026-08-28 11:50 UTC |
References (2)
- Malpedia profile ThreatFox IOCs
-
ThreatFox IOC page
ThreatFox IOCs
Indicator that identifies a malware distribution server (payload delivery). IOC type: Domain name that delivers a malware payload. Attributed malware: Unknown Loader. Confidence: 75. First seen: 2026-09-25 16:07:29 UTC. Reporter: varysz. Tags: etherhiding, victim.
Remediations (10)
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web:blog.sicuranext.com
EtherHiding: blockchain-based payload delivery Two seconds after the page loaded, the injected JavaScript initiated outbound queries to the BNB Smart Chain (BSC) Testnet. The BSC Testnet (Chain ID 97) is a free-to-use Ethereum Virtual Machine-compatible blockchain.
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web:darkwebinformer.com
A new domain -based indicator has been identified associated with payload delivery activity tied to the malware unknown_loader . This domain , advertised under the guise of a mobile advertising and monetization platform, poses a high-confidence threat to users and organizations.
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web:reliaquest.com
"DeepLoad" malware has arrived in enterprise environments via "ClickFix" delivery, turning one user action into rapid, fileless compromise. It likely uses AI-assisted obfuscation and process injection to evade static scanning, while credential theft starts immediately and captures passwords and sessions even if the primary loader is ...
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web:thehackernews.com
Microsoft details a new ClickFix variant abusing DNS nslookup commands to stage malware , enabling stealthy payload delivery and RAT deployment.
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web:thehackernews.com
ClickFix attacks are delivering BabaDeda, Lorem Ipsum, and Potemkin loaders to deploy stealers, RATs, and ransomware-linked tooling.
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web:www.elastic.co
Elastic Security Labs detected a surge in ClickFix campaigns, using GHOSTPULSE to deploy Remote Access Trojans and data-stealing malware .
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web:www.huntress.com
A ClickFix infection drops Potemkin loader and RMMProject RAT, leading to browser theft, hidden remote desktop, and lateral movement across over 11 hosts.
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web:www.malwarebytes.com
We uncovered ClickFix attacks using fake Google and Cloudflare pages to deliver everything from infostealers to a newly discovered malware loader .
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web:www.microsoft.com
The retrieved content is executed directly in memory. Steganography-based payload delivery A notable technique in this campaign is the use of steganography to conceal malicious content inside a publicly hosted image. Instead of downloading a secondary script ( as in Campaign 1), the malware retrieves a JPEG image from an image-hosting service.
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web:www.seqrite.com
Unlike simple payloads , loaders are engineered with a dedicated purpose: to circumvent security defenses, establish persistence, and create a favorable environment for the hidden execution of the final-stage malware . This makes them a more significant and relevant threat that demands focused analysis.
AI Forensic Analysis
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