178.16.53.62 Threat Intelligence and Host Information

General

IP Address
178.16.53.62
IPv4 Address
Location
🇩🇪 Germany
DE
Network
AS40999
dus.net GmbH
Threat Score
40/100
Medium Risk
BlocklistcloudflareMalicious-IPmalwareransomwareScannerThreat-Intelweb
Attack Intelligence
Open Ports Detected
135
Geographic Location
Country
Germany
City
Unknown
Region
Unknown
Coordinates
51.2993, 9.4910
Network Information
ASN
AS40999
Organization
dus.net GmbH
Network
AS40999 dus.net GmbH
WHOIS Information
inetnum
178.16.53.0 - 178.16.53.255
netname
OMEGATECH
country
SC
geofeed
https://omegatech.sc/geofeed.csv
descr
OMEGATECH
org
ORG-OL329-RIPE
abuse-c
CA12141-RIPE
admin-c
CA12141-RIPE
tech-c
CA12141-RIPE
mnt-domains
omegatechsc-mnt
mnt-lower
omegatechsc-mnt
mnt-routes
omegatechsc-mnt
status
ASSIGNED PA
mnt-by
lir-tr-mgn-1-MNT
created
2026-01-21T12:34:45Z
last-modified
2026-01-21T12:34:45Z
organisation
ORG-OL329-RIPE
org-name
Omegatech LTD
org-type
OTHER
address
abuse@omegatech.sc
reg-nr
410583
mnt-ref
lir-tr-mgn-1-MNT
role
Abuse Contact
nic-hdl
CA12141-RIPE
Attack Logs
Date Target Location Protocol Link
2026-06-10 Cfglobal-Web MULTIPLE View Log

  • Country: Germany
  • Network:
  • Noticed: 5 times
  • Protocols Attacked: web
  • Countries Attacked: China, Germany, Russian Federation, United Kingdom of Great Britain and Northern Ireland, United States of America

Malware Detected on Host

Count: 8 618161c88170729e228fdee517a139c89bf01cde6c0557fdb1ccc784b000711e 9ab40801a287a162451db841a734ffc7c4b6cb487f09ce8fbc494eb1acc81a3e 3adfdbfb35767368f43cabd81ff33c977e0e8f0fef586e284e6355a4928136a4 65ea17ac9357d0b302cf12ac5b5b6249576af074a9998d2c67d6ba6072e906b1 6c044dac764c264296fba642bf106d534278589ea459525335046e42f0a22114 7ecd3c1f3b4db2d5002c330506df3acb6f54d3cb570b4b02697ed601d7f50185 d06dacd58e7d5e720be77109ceeb2974a644415a8b523cf167f2adcfb0a88a45 9c1359f1a42cecc9a72685b84ffc1a87eb4ae979495e53f2fa4c89b767a53743

Disclaimer
This page contains threat intelligence information for the IPv4 address 178.16.53.62 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.