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TF-2019833 high

📛 Threat Title

Unknown Loader: Domain name that delivers a malware payload lustigewitze.net

Category: Unknown Loader Published: Source updated: First seen: Last updated: Source: ThreatFox IOCs

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: 2026-11-08 00:26:31 UTC. Last seen: 2026-11-08 00:27:24 UTC. Reporter: varysz. Tags: etherhiding.

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 lustigewitze.net UrlVoid 2 / 36

IOC database

Type
domain
Value
lustigewitze.net
First seen
Last seen
Attached to this threat
Appears in
1 threat
Description
Domain name that delivers a malware payload attributed to Unknown Loader

Open the full IOC page →

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
  • 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: 2026-11-08 00:26:31 UTC. Last seen: 2026-11-08 00:27:24 UTC. Reporter: varysz. Tags: etherhiding.

Remediations (10)

  • 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.

  • web:github.com

    This repository documents a malware investigation of an unknown Windows executable named Unknown .exe. The sample was handled inside an isolated lab, first through static analysis and then through controlled dynamic analysis to understand its file structure, indicators, network behavior, file activity, registry activity, and likely purpose.

  • web:ismalicious.com

    13,980 indicators of compromise attributed to the Unknown Loader malware family — domains , IPs, URLs and file hashes, plus 1 exploited CVEs, from abuse.ch feeds.

  • web:netapi.com

    Domain names flagged by our sources as compromised within the last 24 hours — sites observed in malicious activity during that window. Domains from CERT-Bund (BSI) sinkhole notifications are malware command-and-control domains taken over by a sinkhole. They stay in the current list until a removal request is approved.

  • web:radar.cloudflare.com

    Understand the security, performance, technology, and network details of a URL with a publicly shareable report.

  • 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 ...

  • web:urlhaus.abuse.ch

    Here you can propose new malware urls or just browse the URLhaus database. If you are looking for a parsable list of the dataset, you might want to check out the URLhaus API.

  • web:www.forescout.com

    Threat hunting researchers at Forescout's Vedere Labs uncover a new multi- payload ClickFix delivery platform. See how it works and how to detect.

  • web:www.microsoft.com

    Microsoft Threat Intelligence tracks a fake-download campaign that uses trojanized Inno installers to deliver multiple monetization offers and provides detection and investigation guidance across the complete installer session.

  • web:www.threatlog.com

    ThreatLog tracks 380,000+ malicious domains linked to malware , phishing, scams and fraud. A continuously growing database of malicious domains .

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