23.105.110.232 Threat Intelligence - United States | IP Address Lookup
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General
IP Address
23.105.110.232
Location
🇺🇸 San Jose, United States
Network
AS7203
Threat Score
31/100
Attack Intelligence
Noticed
3 times
Protocols Attacked
webshell
Passive DNS
fahd2010.ddns.net
Geographic Location
Country
United States
City
San Jose
Region
California
Coordinates
37.3388, -121.8916
Network Information
ASN
AS7203
Organization
Leaseweb USA, Inc.
Network
AS7203 Leaseweb USA, Inc.
WHOIS Information
NetRange
23.104.0.0 - 23.105.191.255
CIDR
23.105.0.0/17, 23.104.0.0/16, 23.105.128.0/18
NetName
LU
NetHandle
NET-23-104-0-0-1
Parent
NET23 (NET-23-0-0-0-0)
NetType
Direct Allocation
Organization
Leaseweb USA, Inc. (LU)
RegDate
2013-07-24
Updated
2021-02-15
Ref
https://rdap.arin.net/registry/ip/23.104.0.0
OrgName
Leaseweb USA, Inc.
OrgId
LU
Address
9480 Innovation Dr
City
Manassas
StateProv
VA
PostalCode
20109
Country
US
Comment
www.leaseweb.com
OrgTechHandle
LEASE-ARIN
OrgTechName
Leaseweb ARIN
OrgTechPhone
+1-571-814-3777
OrgTechEmail
netops@us.leaseweb.com
OrgTechRef
https://rdap.arin.net/registry/entity/LEASE-ARIN
OrgAbuseHandle
LUAD3-ARIN
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-10-21 | Webexploit Webshell Filename Probe Ip List 2026 10 21 | Multiple | View Log |
| 2022-02-23 | Webexploit Webshell Filename Probe Ip List 2022 02 23 | Multiple | View Log |
Additional Intelligence
Threat Feeds / IP Sets
- stopforumspam_180d
- stopforumspam_1d
- stopforumspam_30d
- stopforumspam_365d
- stopforumspam_7d
- stopforumspam_90d
Disclaimer
This page contains threat intelligence information for the IPv4 address 23.105.110.232 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.