ThreatFox: Unknown malware IOCs

Hunt Hypothesis

This hunt detects adversary behavior involving newly identified unknown malware indicators that have not yet been incorporated into standard threat intelligence feeds. Proactively hunting for these specific IOCs in Azure Sentinel is critical to identify early-stage infections and mitigate potential lateral movement before the malware becomes widely recognized or actively exploited by other organizations.

IOC Summary

Malware Family: Unknown malware Total IOCs: 23 IOC Types: ip:port, url, domain

Type	Value	Threat Type	First Seen	Confidence
ip:port	`82[.]197[.]65[.]206:7443`	botnet_cc	2026-08-20	75%
ip:port	`169[.]58[.]75[.]138:8000`	botnet_cc	2026-08-20	100%
domain	`smokingstationhub.com`	botnet_cc	2026-08-20	100%
ip:port	`185[.]212[.]44[.]47:1010`	botnet_cc	2026-08-20	75%
url	`hxxps://taliy.sbs/auth`	payload_delivery	2026-08-20	100%
url	`hxxps://tradegenius.sbs/auth`	payload_delivery	2026-08-20	100%
ip:port	`45[.]92[.]16[.]135:5480`	botnet_cc	2026-08-20	75%
ip:port	`37[.]120[.]214[.]122:2090`	botnet_cc	2026-08-20	75%
ip:port	`187[.]87[.]138[.]158:43260`	botnet_cc	2026-08-20	75%
ip:port	`124[.]198[.]132[.]79:2023`	botnet_cc	2026-08-20	75%
ip:port	`188[.]126[.]90[.]11:7777`	botnet_cc	2026-08-20	75%
ip:port	`129[.]226[.]174[.]180:443`	botnet_cc	2026-08-20	50%
ip:port	`78[.]186[.]49[.]17:1337`	botnet_cc	2026-08-20	50%
ip:port	`193[.]233[.]130[.]223:80`	botnet_cc	2026-08-20	50%
ip:port	`94[.]249[.]230[.]177:80`	botnet_cc	2026-08-20	50%
ip:port	`84[.]71[.]50[.]253:8443`	botnet_cc	2026-08-20	50%
ip:port	`34[.]134[.]90[.]188:8089`	botnet_cc	2026-08-20	50%
ip:port	`35[.]254[.]102[.]75:8089`	botnet_cc	2026-08-20	50%
ip:port	`45[.]198[.]55[.]168:8089`	botnet_cc	2026-08-20	50%
ip:port	`141[.]125[.]158[.]53:8089`	botnet_cc	2026-08-20	50%
ip:port	`130[.]61[.]239[.]223:8089`	botnet_cc	2026-08-20	50%
ip:port	`172[.]236[.]7[.]224:8089`	botnet_cc	2026-08-20	50%
ip:port	`91[.]134[.]62[.]41:8089`	botnet_cc	2026-08-20	50%

KQL: Ip Hunt

// Hunt for network connections to known malicious IPs
// Source: ThreatFox - Unknown malware
let malicious_ips = dynamic(["188.126.90.11", "78.186.49.17", "35.254.102.75", "124.198.132.79", "172.236.7.224", "169.58.75.138", "130.61.239.223", "45.92.16.135", "187.87.138.158", "45.198.55.168", "82.197.65.206", "37.120.214.122", "185.212.44.47", "193.233.130.223", "129.226.174.180", "34.134.90.188", "91.134.62.41", "94.249.230.177", "84.71.50.253", "141.125.158.53"]);
CommonSecurityLog
| where DestinationIP in (malicious_ips) or SourceIP in (malicious_ips)
| project TimeGenerated, SourceIP, DestinationIP, DestinationPort, DeviceAction, Activity
| order by TimeGenerated desc

KQL: Ip Hunt Device

// Hunt in Defender for Endpoint network events
let malicious_ips = dynamic(["188.126.90.11", "78.186.49.17", "35.254.102.75", "124.198.132.79", "172.236.7.224", "169.58.75.138", "130.61.239.223", "45.92.16.135", "187.87.138.158", "45.198.55.168", "82.197.65.206", "37.120.214.122", "185.212.44.47", "193.233.130.223", "129.226.174.180", "34.134.90.188", "91.134.62.41", "94.249.230.177", "84.71.50.253", "141.125.158.53"]);
DeviceNetworkEvents
| where RemoteIP in (malicious_ips)
| project Timestamp, DeviceName, RemoteIP, RemotePort, InitiatingProcessFileName, ActionType
| order by Timestamp desc

KQL: Domain Hunt

// Hunt for DNS queries to known malicious domains
// Source: ThreatFox - Unknown malware
let malicious_domains = dynamic(["smokingstationhub.com"]);
DnsEvents
| where Name has_any (malicious_domains)
| project TimeGenerated, Computer, Name, IPAddresses, QueryType
| order by TimeGenerated desc

KQL: Url Hunt

// Hunt for access to known malicious URLs
// Source: ThreatFox - Unknown malware
let malicious_urls = dynamic(["https://taliy.sbs/auth", "https://tradegenius.sbs/auth"]);
UrlClickEvents
| where Url has_any (malicious_urls)
| project Timestamp, AccountUpn, Url, ActionType, IsClickedThrough
| order by Timestamp desc

Required Data Sources

Sentinel Table	Notes
`CommonSecurityLog`	Ensure this data connector is enabled
`DeviceNetworkEvents`	Ensure this data connector is enabled
`DnsEvents`	Ensure this data connector is enabled
`UrlClickEvents`	Ensure this data connector is enabled

References

ThreatFox — Unknown malware

False Positive Guidance

Here are 5 specific false positive scenarios for the ThreatFox: Unknown malware IOCs rule, along with targeted exclusion strategies suitable for an enterprise environment:

Scenario: Automated Antivirus Definition Updates via GPO
- Context: Enterprise endpoints running Microsoft Defender or CrowdStrike often trigger new hash generation events when a Group Policy Object (GPO) pushes fresh definition updates. These updates introduce thousands of new file hashes that may not yet be in the ThreatFox IOC database, triggering “Unknown” alerts for every updated client machine.
- Filter/Exclusion: Exclude IOCs where the source process is mpcmdrun.exe (Microsoft Defender) or CrowdStrikeService.exe and the event origin is a scheduled GPO task (e.g., Task Name: Antivirus Definition Update).
Scenario: CI/CD Pipeline Artifact Deployment
- Context: During nightly builds, DevOps tools like Jenkins or Azure Dev Agents deploy new container images and binary artifacts to staging servers. These freshly compiled binaries possess unique hashes that have not been ingested into the threat intelligence platform yet, causing a spike in “Unknown” detections across build agents.
- Filter/Exclusion: Create an exclusion for IOCs originating from specific CI/CD service accounts (e.g., jenkins-build-svc, azdo-agent) and restrict the scope to IP ranges dedicated to the DevOps subnet (e.g., 10.20.50.x).
Scenario: Third-Party Software Patching via SCCM
- Context: System Center Configuration Manager (SCCM) or Ivanti executes monthly patching cycles for applications like Adobe Creative Cloud, Zoom, and Java. The installation of these patches generates new executable hashes that the detection engine flags as unknown until manually curated into the IOC library.
- **Filter/Ex