109.107.161.172 Threat Intelligence and Host Information

General

IP Address
109.107.161.172
IPv4 Address
Location
🇩🇪 Germany
DE
Network
AS52000
MIRholding B.V.
Threat Score
43/100
Medium Risk
BruteforceBrute-ForcescansipsipvicioussshSSH
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
110
Geographic Location
Country
Germany
City
Unknown
Region
Hesse
Coordinates
50.1169, 8.6837
Network Information
ASN
AS52000
Organization
MIRholding B.V.
Network
AS52000 MIRholding B.V.
WHOIS Information
inetnum
109.107.161.0 - 109.107.161.255
geofeed
https://landvps.ru/ls_geofeed.csv
org
ORG-NHTL5-RIPE
netname
RU-landvps-1
country
RU
admin-c
ND7805-RIPE
tech-c
ND7805-RIPE
status
ASSIGNED PA
mnt-by
NHT-MNT
created
2023-09-20T10:28:11Z
last-modified
2023-10-20T17:55:38Z
organisation
ORG-NHTL5-RIPE
org-name
New Hosting Technologies LLC
org-type
OTHER
address
298000, RUSSIA, SUDAK, str. Gvardeyskaya, d. 3, kv. 63
abuse-c
ACRO55260-RIPE
mnt-ref
interlir-mnt
role
Network department
nic-hdl
ND7805-RIPE
route
109.107.161.0/24
origin
AS216334
Attack Logs
Date Target Location Protocol Link
2026-02-09 Perth, Australia MULTIPLE View Log

  • Country: Germany
  • Network:
  • Noticed: 4 times
  • Protocols Attacked: SSH
  • Countries Attacked: Australia

CVEs Detected

CVE-2007-4723 CVE-2009-0796 CVE-2009-1390 CVE-2009-2299 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2019-0190 CVE-2021-38371 CVE-2022-3559 CVE-2022-37451 CVE-2022-37452 CVE-2023-42114 CVE-2023-42115 CVE-2023-42116 CVE-2023-42117 CVE-2023-42119 CVE-2023-51766 CVE-2023-5678 CVE-2024-0727 CVE-2024-39929 CVE-2025-55753 CVE-2025-58098 CVE-2025-59775 CVE-2025-65082 CVE-2025-66200 CVE-2025-67896 CVE-2025-68160 CVE-2025-69418 CVE-2025-69419 CVE-2025-69420 CVE-2025-69421 CVE-2026-22795 CVE-2026-22796

Disclaimer
This page contains threat intelligence information for the IPv4 address 109.107.161.172 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.