IndicatorPublished 5 Dec 2025Updated 6 Dec 2025

ThreatFox IOCs for 2025-12-05

Source ThreatFox MISP Feed

TLP:WHITE, disclosure is not limited

Indicators of compromise

Domains 204

nova.brightf1eld.ruClearFake payload delivery domain (confidence level: 100%)
x5ust.windshift.ruClearFake payload delivery domain (confidence level: 100%)
ma.windshift.ruClearFake payload delivery domain (confidence level: 100%)
frost.windshift.ruClearFake payload delivery domain (confidence level: 100%)
i2.windshift.ruClearFake payload delivery domain (confidence level: 100%)
mist.riverl1ght.ruClearFake payload delivery domain (confidence level: 100%)
ox.riverl1ght.ruClearFake payload delivery domain (confidence level: 100%)
b0.riverl1ght.ruClearFake payload delivery domain (confidence level: 100%)
crest.riverl1ght.ruClearFake payload delivery domain (confidence level: 100%)
ss7e.softr1ver.ruClearFake payload delivery domain (confidence level: 100%)

URLs 50

https://theharadamethod.com/Unknown malware payload delivery URL (confidence level: 90%)
https://lcontrols6.ru/videos.htmlUnknown malware payload delivery URL (confidence level: 90%)
https://coinmarketsap.com/Unknown malware payload delivery URL (confidence level: 90%)
https://giooga.com/Unknown malware payload delivery URL (confidence level: 90%)
https://eso.fwf.temporary.site/Unknown malware payload delivery URL (confidence level: 90%)
https://mail.heartofthepiedmont.com/Unknown malware payload delivery URL (confidence level: 90%)
https://bn.automanpk.com/Vidar botnet C2 (confidence level: 100%)
https://bn.btreena.com/Vidar botnet C2 (confidence level: 100%)
https://www.vyaparionline.org/Unknown malware payload delivery URL (confidence level: 90%)
https://tcsecurity.top/SpyNote botnet C2 (confidence level: 50%)

IP addresses 247

195.2.70.190AdaptixC2 botnet C2 server (confidence level: 99%)
176.117.107.18Remcos botnet C2 server (confidence level: 100%)
162.243.28.13AsyncRAT botnet C2 server (confidence level: 100%)
134.122.200.237DCRat botnet C2 server (confidence level: 100%)
212.11.64.108Unknown malware botnet C2 server (confidence level: 100%)
93.113.180.31AdaptixC2 botnet C2 server (confidence level: 100%)
45.138.16.81Mirai botnet C2 server (confidence level: 75%)
194.26.192.195Mirai botnet C2 server (confidence level: 75%)
23.132.164.55PureLogs Stealer botnet C2 server (confidence level: 100%)
116.230.254.66Cobalt Strike botnet C2 server (confidence level: 75%)

Description

ThreatFox IOCs for 2025-12-05

Impact

For European organizations, the impact of this threat is potentially moderate due to its classification as malware involving payload delivery via network activity. If exploited, it could lead to unauthorized access, data exfiltration, or disruption of services depending on the payload's nature. However, the lack of known exploits in the wild and absence of specific affected software versions reduce immediate risk. Organizations relying heavily on OSINT tools or those with extensive network exposure may face increased risk of targeted payload delivery attempts. The threat could impact confidentiality and integrity if successful payload delivery leads to malware execution. Availability impact appears limited based on current information. The medium severity suggests that while the threat is not critical, it warrants attention to prevent escalation or exploitation in the future. European sectors such as finance, government, and critical infrastructure, which are frequent targets of malware campaigns, should remain vigilant.

Defensive guidance

1. Integrate ThreatFox and other OSINT-based threat intelligence feeds into Security Information and Event Management (SIEM) systems to detect and respond to emerging IOCs promptly. 2. Enhance network monitoring to identify unusual payload delivery attempts, including anomalous traffic patterns and suspicious connections. 3. Implement strict email and web filtering policies to reduce the risk of phishing or watering hole attacks that could deliver malware payloads. 4. Conduct regular threat hunting exercises focusing on network activity and payload delivery vectors to identify potential compromises early. 5. Maintain updated endpoint detection and response (EDR) solutions capable of detecting unknown or emerging malware behaviors. 6. Educate staff on recognizing social engineering tactics that may be used to facilitate payload delivery. 7. Employ network segmentation to limit lateral movement if a payload is successfully delivered. 8. Since no patches are available, focus on detection and containment strategies rather than remediation via updates. 9. Collaborate with national cybersecurity centers and information sharing organizations to stay informed about evolving threats and mitigation best practices.

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