TF-1933752
high
📛 Threat Title
Unknown Loader: Domain name that delivers a malware payload shirozaki.adv.br
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 16:07:21 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
shirozaki.adv.br
VT 2 / 91
UrlVoid 3 / 36
IOC database
- Type
- domain
- Value
shirozaki.adv.br- 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 2 of 91 VirusTotal vendors
| Vendor | Verdict | Detection |
|---|---|---|
| Gridinsoft | suspicious | suspicious |
| SOCRadar | suspicious | suspicious |
Details From VirusTotal
Basic Properties
| TLD | adv.br |
History
| Last analysis | 2026-09-25 17:17 UTC |
| Last modified on VirusTotal | 2026-09-25 23:59 UTC |
| WHOIS record date | 2026-09-01 12:17 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 16:07:21 UTC. Reporter: varysz. Tags: etherhiding, victim.
Remediations (10)
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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:ismalicious.com
4,553 indicators of compromise attributed to the Unknown Loader malware family — domains , IPs, URLs and file hashes, from abuse.ch feeds.
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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: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: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.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.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 ClickFix social engineering technique has been growing in popularity, with campaigns targeting thousands of enterprise and end-user devices daily. This technique exploits users' tendency to resolve technical issues by tricking them into running malicious commands. These commands, in turn, deliver payloads that ultimately lead to information theft and exfiltration.
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web:www.microsoft.com
From late April 2026 to mid-June 2026, Microsoft Defender Experts observed increased ACR Stealer activity across customer environments. These campaigns are successfully using ClickFix lures to steal browser credentials, authentication tokens, and sensitive documents from enterprise environments.
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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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