23.83.90.69 Threat Intelligence and Host Information
Jul 04, 2025
ipinfopage
General
IP Address
23.83.90.69
Location
🇺🇸 Hoffman, United States
Network
AS27411
Threat Score
9/100
Attack Intelligence
Open Ports Detected
4444
Geographic Location
Country
United States
City
Hoffman
Region
New Jersey
Coordinates
40.3172, -74.4304
Network Information
ASN
AS27411
Organization
LEASEWEB-USA-CHI
Network
AS27411 LEASEWEB-USA-CHI
WHOIS Information
NetRange
23.83.80.0 - 23.83.95.255
CIDR
23.83.80.0/20
NetName
23-83-80-0
NetHandle
NET-23-83-80-0-1
Parent
LU (NET-23-83-72-0-1)
NetType
Reallocated
OriginAS
Organization
LeaseWeb USA, Inc. Chicago (LUC-11)
RegDate
2017-07-26
Updated
2018-11-19
Ref
https://rdap.arin.net/registry/entity/LUC-11
OrgName
LeaseWeb USA, Inc. Chicago
OrgId
LUC-11
Address
1850 Springer Drive
City
Chicago
StateProv
IL
PostalCode
60148
Country
US
Comment
www.leaseweb.com
OrgTechHandle
LUNOD-ARIN
OrgTechName
LeaseWeb USA, Inc Network Operations Department
OrgTechPhone
+1-480-212-1710
OrgTechEmail
netops@us.leaseweb.com
OrgTechRef
https://rdap.arin.net/registry/entity/LUNOD-ARIN
- Country: United States
- Network:
- Noticed: 2 times
- Protocols Attacked: spam
Disclaimer
This page contains threat intelligence information for the IPv4 address 23.83.90.69 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.