149.13.62.239 Threat Intelligence - Türkiye | IP Address Lookup

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General

IP Address
149.13.62.239
IPv4 Address
Location
🇹🇷 Istanbul, Türkiye
TR
Network
AS199724
TeknoDC Bilisim Teknolojileri A.S.
Threat Score
40/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
7 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
44346580993995
Geographic Location
Country
Türkiye
City
Istanbul
Region
Istanbul
Coordinates
41.0146, 28.9532
Network Information
ASN
AS199724
Organization
TeknoDC Bilisim Teknolojileri A.S.
Network
AS199724 TeknoDC Bilisim Teknolojileri A.S.
WHOIS Information
NetRange
149.13.0.0 - 149.13.255.255
CIDR
149.13.0.0/16
NetName
COGENT-149-13-16
NetHandle
NET-149-13-0-0-1
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/149.13.0.0
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
OrgAbuseHandle
COGEN-ARIN
Attack Logs
DateTarget LocationProtocolLink
2026-09-03 Digitaloceantoronto Combined Multiple View Log
2026-09-03 Toronto, Canada SSH View Log
2026-09-02 Digitaloceantoronto Combined Multiple View Log
2026-09-02 Toronto, Canada SSH View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 149.13.62.239 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.