91.108.226.144 Threat Intelligence and Host Information
Nov 03, 2025
ipinfopage
General
IP Address
91.108.226.144
Location
🇦🇺 Sydney, Australia
Network
AS213296
Threat Score
45/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
22
Geographic Location
Country
Australia
City
Sydney
Region
New South Wales
Coordinates
-33.8715, 151.2006
Network Information
ASN
AS213296
Organization
SIA Singularity Telecom
Network
AS213296 SIA Singularity Telecom
WHOIS Information
inetnum
91.108.226.0 - 91.108.226.255
netname
DPKGSOFT
geofeed
https://geo.nodowntime.net/subnet.csv
country
GB
org
ORG-DPKG2-RIPE
admin-c
DPKG1-RIPE
tech-c
DPKG1-RIPE
status
ASSIGNED PA
mnt-by
DPKG-MNT
created
2024-03-21T21:56:46Z
last-modified
2024-03-24T11:09:42Z
organisation
ORG-DPKG2-RIPE
org-name
DpkgSoft International Limited
org-type
OTHER
address
3 Hornton Place, London, England, W8 4LZ
abuse-c
DPKG2-RIPE
mnt-ref
interlir-mnt
person
DpkgSoft Abuse contact
phone
+1
nic-hdl
DPKG1-RIPE
route
91.108.226.0/24
origin
AS215590
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2025-11-03 | Singapore | SSH | View Log |
- Country: Australia
- Network:
- Noticed: 5 times
- Protocols Attacked: ssh
- Countries Attacked: Australia
Malware Detected on Host
Count: 1 57abf49cf6689a70a4c34f613628cde975020fd9bd5b7c2ca5046195ac497afc
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2016-20012 CVE-2019-16905 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 91.108.226.144 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.