104.249.19.120 Threat Intelligence - Türkiye | IP Address Lookup

Share on:

General

IP Address
104.249.19.120
IPv4 Address
Location
🇹🇷 Türkiye
TR
Network
AS214854
Vulut Bilisim Teknolojileri Limited Sirk...
Threat Score
32/100
Medium Risk
brute-forcecowriedionaeaexploitation-attemptfatthoneytrapmailoneyp0f
Attack Intelligence
Noticed
4 times
Protocols Attacked
combined portscan
Open Ports Detected
11014320772082208320862087214435358780993995
Geographic Location
Country
Türkiye
City
Unknown
Region
Unknown
Coordinates
41.0214, 28.9948
Network Information
ASN
AS214854
Organization
Vulut Bilisim Teknolojileri Limited Sirketi
Network
AS214854 Vulut Bilisim Teknolojileri Limited Sirketi
Associated CVEs
WHOIS Information
NetRange
104.249.0.0 - 104.249.63.255
CIDR
104.249.0.0/18
NetName
RIPE
NetHandle
NET-104-249-0-0-1
Parent
NET104 (NET-104-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
2021-12-09
Updated
2025-02-10
Ref
https://rdap.arin.net/registry/ip/104.249.0.0
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
PostalCode
1001EB
Country
NL
OrgAbuseHandle
ABUSE3850-ARIN
OrgAbuseName
Abuse Contact
OrgAbusePhone
+31205354444
OrgAbuseEmail
abuse@ripe.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE3850-ARIN
OrgTechHandle
RNO29-ARIN
OrgTechName
RIPE NCC Operations
OrgTechPhone
+31 20 535 4444
Attack Logs
DateTarget LocationProtocolLink
2026-09-24 Vultrtokyo Combined Multiple View Log
2026-09-23 Vultrtokyo Combined Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 104.249.19.120 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.