TF-1932109
high
📛 Threat Title
Unknown Loader: Domain name that delivers a malware payload usaimmersion.org
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: 2026-09-24 07:38:11 UTC. Last seen: 2026-09-24 07:55:37 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
usaimmersion.org
UrlVoid 3 / 36
IOC database
- Type
- domain
- Value
usaimmersion.org- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
- Description
- Domain name that delivers a malware payload attributed to Unknown Loader
Threat Hunt — feed corroboration
Not present in any configured threat-intel feed.
Details From VirusTotal
No VirusTotal details cached for this IOC. Open the IOC page to query VirusTotal.
References (2)
- Malpedia profile ThreatFox IOCs
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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: 2026-09-24 07:38:11 UTC. Last seen: 2026-09-24 07:55:37 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
Learn about the role of malware loaders in cybercriminal campaigns, their distribution methods, and strategies for detection and mitigation .
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web:socradar.io
Multiple independent ClickFix social engineering campaigns observed between April and June 2026 are delivering three distinct malware loaders BabaDeda Loader , Lorem Ipsum Loader , and Potemkin that fetch information stealers, remote access trojans, and ransomware-linked tooling onto Windows hosts. Victims are lured into pasting attacker supplied commands into the Run dialog or terminal, after ...
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web:thehackernews.com
WordlistLoader delivers Amatera via ClearFake ClickFix attacks, while SynkLoader uses Teams phishing to steal Windows login credentials.
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web:undercodetesting.com
Introduction: Cybercriminals are increasingly abusing DNS TXT records to deliver malware and command-and-control (C2) payloads covertly. A recent investigation by DomainTools revealed how attackers fragment, hex-encode, and distribute malicious code across multiple DNS queries, evading traditional security measures.
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web:urlhaus.abuse.ch
URLhaus URLhaus is a platform from abuse.ch and Spamhaus dedicated to sharing malicious URLs that are being used for malware distribution. Report URLs and explore the database for valuable intelligence. Use the APIs, to seamlessly push and pull signals, and automate bulk queries. With this intelligence, gain insights into malware behavior, to help identify, track, and mitigate against malware ...
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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
Threat actors are targeting macOS users with fake utility fixes that trick them into running malicious Terminal commands. This campaign evades traditional defenses by stealing credentials, wallets, and sensitive data.
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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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