TF-1933768
high
📛 Threat Title
Unknown Loader: Domain name that delivers a malware payload snamimessina.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: 2026-09-25 16:07:23 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
snamimessina.org
VT: VT base fetch failed: HTTPError: 401 Client Error: Unauthorized for url: https://www.virustotal.com/api/v3/domains/snamimessina.org
UrlVoid 3 / 36
IOC database
- Type
- domain
- Value
snamimessina.org- 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.
Details From VirusTotal
VirusTotal: VT base fetch failed: HTTPError: 401 Client Error: Unauthorized for url: https://www.virustotal.com/api/v3/domains/snamimessina.org
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: 2026-09-25 16:07:23 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:femtosec.io
Analysis of the ClickFix loader emerging on underground forums. Learn how this malware deployment tool impacts enterprise security and how to mitigate the risk.
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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
"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:rhisac.org
The malware provides operators with persistence, system reconnaissance, command execution, payload delivery, and resilient command and control capabilities. Key Takeaways DOUBLECUP is a Russian Loader - as -a-Service developed for ClickFix campaigns and has operated since early June 2026.
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web:socprime.com
The initial malware communicated with a command-and-control server at 89.110.110.119 over TCP port 443 using encoded traffic. The campaign, tracked as SmartApeSG ClickFix, relied on malicious scripts and a CAB archive to install the NetSupport RAT on victim systems.
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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
WordlistLoader delivers Amatera via ClearFake ClickFix attacks, while SynkLoader uses Teams phishing to steal Windows login credentials.
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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.
AI Forensic Analysis
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