31.130.206.122 Threat Intelligence and Host Information

General

IP Address
31.130.206.122
IPv4 Address
Location
🇧🇾 Belarus
BY
Network
AS56740
DataHata Ltd
Threat Score
33/100
Medium Risk
BruteforceBrute-ForceSSH
Attack Intelligence
Open Ports Detected
111
Geographic Location
Country
Belarus
City
Unknown
Region
Unknown
Coordinates
53.0011, 28.0065
Network Information
ASN
AS56740
Organization
DataHata Ltd
Network
AS56740 DataHata Ltd
WHOIS Information
inetnum
31.130.200.0 - 31.130.207.255
netname
DATAHATA-NET
country
BY
geoloc
53.88511870311267 27.452988624572754
org
ORG-DL127-RIPE
admin-c
IP3975-RIPE
tech-c
AKSA-RIPE
status
ASSIGNED PI
mnt-by
MNT-DH
mnt-routes
MNT-DH
mnt-domains
MNT-DH
created
2014-10-29T17:21:57Z
last-modified
2014-10-29T17:21:57Z
sponsoring-org
ORG-RSL39-RIPE
organisation
ORG-DL127-RIPE
org-name
DataHata Ltd
org-type
OTHER
address
2-B Kolkhoznaya street
abuse-c
AR19189-RIPE
mnt-ref
MNT-DH
person
Iryna Palyshenkava
phone
+375 29 308 66 66
fax-no
+375 17 388 66 55
nic-hdl
IP3975-RIPE
Attack Logs
Date Target Location Protocol Link
2026-03-12 Vultrmelbournetest SSH View Log

  • Country: Belarus
  • Network:
  • Noticed: 4 times
  • Protocols Attacked: portscan ssh
  • Passive DNS Results: crm.studio8.by pokupay.by

Malware Detected on Host

Count: 1 149979213411fcac20f7cbc1a26e1521b80073aff05d4c0f967046ef5f23b13a

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2025-26465 CVE-2025-32728

Disclaimer
This page contains threat intelligence information for the IPv4 address 31.130.206.122 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.