149.50.106.25 Threat Intelligence - Poland | IP Address Lookup
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General
IP Address
149.50.106.25
Location
🇵🇱 Warsaw, Poland
Network
AS201814
Threat Score
50/100
Attack Intelligence
MITRE ATT&CK Techniques
T1041 - Exfiltration Over C2 Channel, T1059.001 - PowerShell, T1072 - Software Deployment Tools, T1110.001 - Password Guessing, T1110.002 - Password Cracking, T1110.003 - Password Spraying, T1110.004 - Credential Stuffing, T1110 - Brute Force, T1583.005 - Botnet, T1590.004 - Network Topology, T1590.005 - IP Addresses, T1595.001 - Scanning IP Blocks, T1595.002 - Vulnerability Scanning, TA0011 - Command and Control
Noticed
11 times
Protocols Attacked
openwrt
Countries Attacked
Indonesia, United States of America
Geographic Location
Country
Poland
City
Warsaw
Region
Mazovia
Coordinates
52.2299, 21.0093
Network Information
ASN
AS201814
Organization
MEVSPACE sp. z o.o.
Network
AS201814 MEVSPACE sp. z o.o.
Associated CVEs
WHOIS Information
NetRange
149.50.0.0 - 149.50.255.255
CIDR
149.50.0.0/16
NetName
COGENT-149-50-16
NetHandle
NET-149-50-0-0-1
Parent
NET149 (NET-149-0-0-0-0)
NetType
Direct Allocation
Organization
Cogent Communications, LLC (COGC)
RegDate
1992-01-28
Updated
2025-09-23
Ref
https://rdap.arin.net/registry/ip/149.50.0.0
OrgName
Cogent Communications, LLC
OrgId
COGC
Address
2450 N Street NW
City
Washington
StateProv
DC
PostalCode
20037
Country
US
Comment
Geofeed https://geofeed.cogentco.com/geofeed.csv
OrgTechHandle
IPALL-ARIN
OrgTechName
IP Allocation
OrgTechPhone
+1-877-875-4311
OrgTechEmail
ipalloc@cogentco.com
OrgTechRef
https://rdap.arin.net/registry/entity/IPALL-ARIN
OrgNOCHandle
ZC108-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-19 | Webexploit Openwrt Luci Rce Ip List 2026 10 19 | Multiple | View Log |
| 2026-10-19 | Cve 2023 1389 Attacker Ip List 2026 10 19 | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 149.50.106.25 and was generated either as a result of observed malicious activity or as an information gathering exercise to assist with enrichment of security events and context. All information is gathered passively through aggregation of public sources, or observations through activity upon honeynets. The host score is calculated through a series of statistically weighted values and machine learning which takes into account metadata such as host information, frequency, volume and global distribution of malicious activity, association with other known malicious hosts or networks, proxying or anonymising behaviour such as with tor exit nodes, residential proxies or VPN services, and many other attributes. These values are historical and indicative only, and should not be taken to be an accurate representation of the users, businesses or networks in which they reside.