31.31.196.34 Threat Intelligence and Host Information
Jul 09, 2025
ipinfopage
General
IP Address
31.31.196.34
Location
🇷🇺 Russia
Network
AS197695
Threat Score
29/100
Attack Intelligence
Open Ports Detected
33060
Geographic Location
Country
Russia
City
Unknown
Region
Unknown
Coordinates
55.7386, 37.6068
Network Information
ASN
AS197695
Organization
Domain names registrar REG.RU, Ltd
Network
AS197695 Domain names registrar REG.RU, Ltd
- Country: Russia
- Network:
- Noticed: 2 times
- Protocols Attacked: SSH
- Passive DNS Results: ns2.hosting.reg.ru www.sadpalitra.com www.latinstarsfactory.com smallvacuumcleaners.net alenafot.ru ns1.hosting.reg.ru ns1.hosting.hub8.com kaledoniya.ru asn-group.ru medspravki63.ru www.kompas-avto.ru uvdrzn.ru s-dvor.ru kompas-avto.ru sale.na45.ru wp31.ru ratiomaster.ru xn–80aaalivalp6bdgclj4aa7q.xn–p1ai eco-flash.net posuda-tlt.ru eko-spa.su avtolyubiteli.com ru-style.spb.ru vpozolote.ru auction-a.ru top-training.ru alexsan.ru alferbpla.ru ag-polovinka.ru yulialuneva.ru aaa-avtoresurs.ru autoexpertum.ru uroki-auto.ru 100bet.ru 12brendov.ru inetkino.ru ttmedia.ru justworld.ru 3-ndfl.com printni.ru blaik-pipes.ru www.ltk-nn.ru ltk-nn.ru luxuryhouse.biz www.ilasstroy.ru www.ecodg.ru auto-line.org xn–80aaglioc0afimnho5e.xn–p1ai modamania-online.ru book-magazin.ru rielprof.ru astrologiagoroskop.ru kamen-64.ru www.pozvonimastery.ru kalyon-shop.ru avtogamma54.ru vipusk-expo.ru www.ecoscale.ru bet-express.ru lev-tours.ru ilasstroy.ru
Malware Detected on Host
Count: 1 45e46775c32fc05b870b9043d986f212de5e8c49ac77cafa5460c45937ba53f8
Disclaimer
This page contains threat intelligence information for the IPv4 address 31.31.196.34 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.