TF-1931099
high
📛 Threat Title
Remus: URL that is used for botnet Command&control (C&C) http://spiohop.shop:9932/images
Description
Indicator that identifies a botnet command&control server (C&C). IOC type: URL that is used for botnet Command&control (C&C). Attributed malware: Remus. Confidence: 75. First seen: 2026-09-23 22:58:23 UTC. Reporter: Myrtus0x0. Tags: Remus.
Indicators of Compromise (1)
Each indicator is enriched from the IOC database, threat-intel feed corroboration (Threat Hunt) and VirusTotal. Click one to expand.
url
http://spiohop.shop:9932/images
IOC database
- Type
- url
- Value
http://spiohop.shop:9932/images- First seen
- Last seen
- Attached to this threat
- Appears in
- 1 threat
- Description
- URL that is used for botnet Command&control (C&C) attributed to Remus
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 botnet command&control server (C&C). IOC type: URL that is used for botnet Command&control (C&C). Attributed malware: Remus. Confidence: 75. First seen: 2026-09-23 22:58:23 UTC. Reporter: Myrtus0x0. Tags: Remus.
Remediations (10)
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web:any.run
Remus Stealer is a sophisticated 64-bit information stealer operating under a Malware-as-a-Service (MaaS) model. Identified as a direct evolution of the infamous Lumma Stealer, Remus specializes in harvesting credentials, cookies, and cryptocurrency wallets while utilizing blockchain technology for command-and-control (C2) resilience.
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web:feodotracker.abuse.ch
Here you can browse the list of botnet Command&Control servers ( C&Cs ) tracked by Feodo Tracker, associated with Dridex, TrickBot, QakBot (aka QuakBot/Qbot), BazarLoader (aka BazarBackdoor) and Emotet (aka Heodo). When Feodo Tracker was launched in 2010, it was meant to track Feodo botnet C&Cs .
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web:flashpoint.io
Remus stealer represents a sophisticated continuation of the MaaS infostealer model left behind by Lumma's collapse. While the developer asserts independence, the overwhelming code overlaps, matching obfuscation techniques, and administrative panels indicate that Remus is either heavily inspired by, or derived from the Lumma codebase.
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web:portal.vyprsec.ai
A new information-stealing malware, Remus , is employing an Ethereum smart contract to dynamically retrieve its command and control server address, making it harder to block.
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web:threatfox.abuse.ch
You are viewing the ThreatFox database entry for url http ://spiohop.shop:9932/posts.
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web:threatfox.abuse.ch
You are viewing the ThreatFox database entry for url http ://spiohop.shop:9932/tasks.
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web:www.geeksforgeeks.org
At this point, the infected devices are connected and controlled remotely through a central command-and-control (C&C) server. The attacker can command these devices, to perform tasks like sending spam, participating in distributed denial-of-service (DDoS) attacks, or stealing data. How to Prevent Botnet Attacks?
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web:www.spamhaus.com
What is the extended Botnet Controller List (eBCL)? This dataset contains single IPv4 addresses used by miscreants to control infected devices, otherwise known as Botnet Command and Controllers, C&Cs , or C2s. At its heart, the eBCL is a "drop all traffic" list detailing the worst of the worse.
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web:www.spamhaus.org
The Spamhaus Botnet Controller List (BCL) is a specialized, advisory "drop all traffic" list. It consists of IP addresses that are actively used by cybercriminals to control malware-infected computers (bots). This is a high-confidence list, with false positives being extremely rare, to block as much high-risk, malicious traffic as possible.
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web:www.spamhaus.org
Introduction What is Spamhaus CERT Insight Portal? Enriched data: Botnet C&C activity in your region Using the portal: Even better functionality How can I access the portal? In 2025, botnet command & controller (C&C) activity detected by Spamhaus increased 56% - a stark reminder that the botnet threat landscape is evolving faster than ever.
AI Forensic Analysis
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