149.202.28.110 Threat Intelligence and Host Information

General

IP Address
149.202.28.110
IPv4 Address
Location
🇫🇷 Peypin, France
FR
Network
AS16276
OVH SAS
Threat Score
10/100
Low Risk
Attack Intelligence
Open Ports Detected
53
Geographic Location
Country
France
City
Peypin
Region
Provence-Alpes-Côte d'Azur
Coordinates
43.3843, 5.5806
Network Information
ASN
AS16276
Organization
OVH SAS
Network
AS16276 OVH SAS
WHOIS Information
inetnum
149.202.28.104 - 149.202.28.111
netname
OVH_308471937
country
GB
descr
OVH
org
ORG-MAMR2-RIPE
admin-c
OK217-RIPE
tech-c
GM84-RIPE
status
ASSIGNED PA
mnt-by
OVH-MNT
created
2015-03-24T22:02:19Z
last-modified
2015-03-24T22:02:19Z
organisation
ORG-MAMR2-RIPE
org-name
Moghareh Abed Mohammad reza
org-type
OTHER
address
UK
phone
+44.07828550048
mnt-ref
OVH-MNT
role
OVH UK Technical Contact
nic-hdl
OTC14-RIPE
abuse-mailbox
abuse@ovh.net
route
149.202.0.0/16
origin
AS16276

  • Country: France
  • Network: AS16276 ovh sas
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Passive DNS Results: astrocrack.com ns4.shivahost.net mahtabgsm.top quicklearn.ir pebico.com batisweb.com isunteb.com icansoft.net anars.ir ns1.ahmadianweb.ir milkyway.sali.city ns2.olapour.ir ns2.dayanweb.com ns2.kermanwebdesign.ir turn-table.ir pishroo-tamin.com kamcogroup.com ns2.balootagency.com ns1.serverlive.ir learningthelanguage.com longtake.ir ns2.ghoch.com 4mrmovie.xyz ns2.shalakserver.ir ns2.achareto.com ns1.bopco.ir ns1.pay724.site ns2.kgg.ir da2.ranginweb.com ns2.arzunkadeh.com ns1.infusionverte.com ns2.patifa.ir irns2.ertebathost.com ns2.daramadepaydar.com ns1.anahidcms.ir ns20.sitesazz.com ns2.rayandesign.com ns2.irihost.ir ns2.gt-server.ir ns2.caroob.ir ns2.tarahan-shomal.ir ns2.lent.ir ir2.farazdns.com ns1.gheshmonline.ir ns1.netafraz.com ns.netafraz.com irns2.netafraz.com
Disclaimer
This page contains threat intelligence information for the IPv4 address 149.202.28.110 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.