94.249.192.198 Threat Intelligence and Host Information

General

IP Address
94.249.192.198
IPv4 Address
Location
🇩🇪 Schotten, Germany
DE
Network
AS12586
GHOSTnet GmbH
Threat Score
15/100
Low Risk
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
Germany
City
Schotten
Region
Hesse
Coordinates
50.5075, 9.1223
Network Information
ASN
AS12586
Organization
GHOSTnet GmbH
Network
AS12586 GHOSTnet GmbH
WHOIS Information
inetnum
94.249.192.0 - 94.249.192.255
netname
DE-GHOSTNET-FRA01-CUST-NeuPrime-01
descr
GHOSTnet GmbH IP Space
country
DE
admin-c
GNSG-RIPE
tech-c
GNSG-RIPE
status
ASSIGNED PA
mnt-by
GHOSTNET-MNT
created
2013-10-24T00:24:15Z
last-modified
2013-10-24T00:24:15Z
role
GHOSTnet GmbH
address
Deutschland
phone
+49 6172 185025
fax-no
+49 6172 185029
nic-hdl
GN-RIPE
abuse-mailbox
abuse@ghostnet.de
route
94.249.192.0/24
origin
AS12586
Attack Logs
Date Target Location Protocol Link
2026-03-25 Singapore SSH View Log

  • Country: Germany
  • Network:
  • Noticed: times
  • Protocols Attacked: portscan ssh

CVEs Detected

CVE-2004-1653 CVE-2005-2666 CVE-2005-2798 CVE-2006-0225 CVE-2006-0883 CVE-2006-4924 CVE-2006-5051 CVE-2006-5052 CVE-2006-5794 CVE-2007-2243 CVE-2007-2768 CVE-2007-4752 CVE-2008-3259 CVE-2008-3844 CVE-2008-4109 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-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-1908 CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-15778 CVE-2021-36368 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767 CVE-2024-6387

Disclaimer
This page contains threat intelligence information for the IPv4 address 94.249.192.198 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.