155.159.91.137 Threat Intelligence and Host Information
Mar 17, 2024
ipinfopage
General
IP Address
155.159.91.137
Location
🇺🇸 Chicago, United States
Network
AS137951
Threat Score
5/100
Attack Intelligence
Open Ports Detected
80
Geographic Location
Country
United States
City
Chicago
Region
Illinois
Coordinates
41.8874, -87.6318
Network Information
ASN
AS137951
Organization
Clayer Limited
Network
AS137951 Clayer Limited
WHOIS Information
NetRange
155.159.0.0 - 155.159.255.255
CIDR
155.159.0.0/16
NetName
AFRINIC-155-159-0-0
NetHandle
NET-155-159-0-0-1
Parent
NET155 (NET-155-0-0-0-0)
NetType
Transferred to AfriNIC
OriginAS
Organization
African Network Information Center (AFRINIC)
RegDate
2004-05-17
Updated
2015-05-04
Comment
The African & Indian Ocean Internet Registry
Ref
https://rdap.arin.net/registry/entity/AFRINIC
OrgName
African Network Information Center
OrgId
AFRINIC
Address
Lot 19, Cybercity
City
Ebene
StateProv
PostalCode
Country
MU
OrgTechHandle
GENER11-ARIN
OrgTechName
Generic POC
OrgTechPhone
+230 4666616
OrgTechEmail
abusepoc@afrinic.net
OrgTechRef
https://rdap.arin.net/registry/entity/GENER11-ARIN
- Country: United States
- Network: AS137951 clayer limited
- Noticed: 1 times
- Protocols Attacked: SSH
- Passive DNS Results: dagniabruvere.com merrillbooks.com world-cosplay.com samsonestopauto.com briangraetz.com mitchellteamsells.com masyitech.com tnbellydance.com tennesseeworkerscompensationlawyer.com a-taste-of-scotland.com wiconcept.com bolsiuscandles.com chargecup.com pcspropertyservices.com m.925041.cn 925041.cn www.925041.cn molssgov.cn www.molssgov.cn m.molssgov.cn
Disclaimer
This page contains threat intelligence information for the IPv4 address 155.159.91.137 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.