89.33.44.231 Threat Intelligence and Host Information
Mar 06, 2026
ipinfopage
General
IP Address
89.33.44.231
IPv4 Address
Network
AS205275
ROMARG SRL
Threat Score
20/100
Low Risk
Geographic Location
Coordinates
45.9968, 24.9970
Network Information
Network
AS205275 ROMARG SRL
WHOIS Information
inetnum
89.33.44.0 - 89.33.44.255
netname
RO-ROMARGSRL-20051129
mnt-routes
ro-romargsrl-1-mnt
created
2017-10-17T16:50:38Z
last-modified
2017-10-17T16:50:38Z
organisation
ORG-RS168-RIPE
mnt-ref
ro-romargsrl-1-mnt
- Country: Romania
- Network:
- Noticed: 1 times
- Protocols Attacked: SSH
- Passive DNS Results: ns6.simplenet.ro
ns8.simplenet.ro
dns-02.simplenet.ro
ns2.fasterwp.com
ns4.fasterwp.com
ns4.simplenet.ro
ns2.fasterwp.net
NS2.SIMPLENET.RO
CVEs Detected
CVE-2007-2768
CVE-2008-3844
CVE-2010-4478
CVE-2010-4755
CVE-2010-5107
CVE-2011-4327
CVE-2011-5000
CVE-2012-0814
CVE-2014-1692
CVE-2014-2532
CVE-2014-2653
CVE-2015-5352
CVE-2015-5600
CVE-2015-6563
CVE-2015-6564
CVE-2016-0777
CVE-2016-10009
CVE-2016-10010
CVE-2016-10011
CVE-2016-10012
CVE-2016-10708
CVE-2016-1908
CVE-2016-20012
CVE-2016-3115
CVE-2017-15906
CVE-2018-15473
CVE-2018-20685
CVE-2019-6109
CVE-2019-6110
CVE-2019-6111
CVE-2020-12783
CVE-2020-15778
CVE-2020-28007
CVE-2020-28008
CVE-2020-28009
CVE-2020-28010
CVE-2020-28011
CVE-2020-28012
CVE-2020-28013
CVE-2020-28014
CVE-2020-28015
CVE-2020-28016
CVE-2020-28017
CVE-2020-28018
CVE-2020-28019
CVE-2020-28021
CVE-2020-28022
CVE-2020-28023
CVE-2020-28024
CVE-2020-28025
CVE-2020-28026
CVE-2020-8015
CVE-2021-27216
CVE-2021-36368
CVE-2021-38371
CVE-2022-3559
CVE-2022-37451
CVE-2022-37452
CVE-2023-38408
CVE-2023-42114
CVE-2023-42115
CVE-2023-42116
CVE-2023-42117
CVE-2023-42119
CVE-2023-48795
CVE-2023-51385
CVE-2023-51766
CVE-2023-51767
CVE-2024-39929
CVE-2025-67896
Disclaimer
This page contains threat intelligence information for the IPv4 address 89.33.44.231 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.