209.58.142.220 Threat Intelligence - United States | IP Address Lookup

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General

IP Address
209.58.142.220
IPv4 Address
Location
🇺🇸 San Jose, United States
US
Network
AS7203
Leaseweb USA, Inc.
Threat Score
29/100
Medium Risk
Attack Intelligence
Noticed
2 times
Protocols Attacked
webshell
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
209.58.128.0 - 209.58.143.255
CIDR
209.58.128.0/20
NetName
LEASEWEB-USA-SFO-12
NetHandle
NET-209-58-128-0-1
Parent
NET209 (NET-209-0-0-0-0)
NetType
Direct Allocation
Organization
Leaseweb USA, Inc. (LU-76)
RegDate
1999-04-29
Updated
2017-01-13
Comment
Please send all abuse notifications to the following email address: abuse@us.leaseweb.com. To ensure proper processing of your abuse notification, please visit the website www.leaseweb.com/abuse for notification requirements. All police and other government agency requests must be sent to subpoenas@us.leaseweb.com.
Ref
https://rdap.arin.net/registry/ip/209.58.128.0
OrgName
Leaseweb USA, Inc.
OrgId
LU-76
Address
1735 Lundy Ave
City
San Jose
StateProv
CA
PostalCode
95131
Country
US
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
DateTarget LocationProtocolLink
2026-10-21 Webexploit Webshell Filename Probe Ip List 2026 10 21 Multiple View Log
2022-02-06 Webexploit Webshell Filename Probe Ip List 2022 02 06 Multiple View Log
Additional Intelligence
Threat Feeds / IP Sets
  • stopforumspam_180d
  • stopforumspam_30d
  • stopforumspam_365d
  • stopforumspam_7d
  • stopforumspam_90d
  • stopforumspam
Disclaimer
This page contains threat intelligence information for the IPv4 address 209.58.142.220 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.