176.100.37.142 Threat Intelligence and Host Information
Nov 21, 2025
ipinfopage
General
IP Address
176.100.37.142
Location
🇩🇪 Germany
Network
AS41944
Threat Score
15/100
Attack Intelligence
Open Ports Detected
1723
Geographic Location
Country
Germany
City
Unknown
Region
Unknown
Coordinates
51.2993, 9.4910
Network Information
ASN
AS41944
Organization
dataforest GmbH
Network
AS41944 dataforest GmbH
WHOIS Information
inetnum
176.100.37.128 - 176.100.37.143
netname
DATALIX
descr
DATALIX
country
DE
admin-c
FK4477-RIPE
tech-c
FK4477-RIPE
org
ORG-DA1262-RIPE
mnt-by
MNT-INTERCOLO
status
ASSIGNED PA
created
2023-09-24T10:56:35Z
last-modified
2023-09-24T10:56:35Z
organisation
ORG-DA1262-RIPE
org-name
Datalix
org-type
OTHER
address
Theodor-Heuss-Str. 1, 97230 Estenfeld, Deutschland
abuse-c
ACRO47748-RIPE
mnt-ref
DATALIX-MNT
person
Florian Kolb
phone
+4993674088974
nic-hdl
FK4477-RIPE
route
176.100.37.0/24
origin
AS62454
- Country: Germany
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2019-12519 CVE-2020-11945 CVE-2020-14058 CVE-2020-15049 CVE-2020-15810 CVE-2020-15811 CVE-2020-24606 CVE-2020-25097 CVE-2021-28116 CVE-2021-28651 CVE-2021-28652 CVE-2021-28662 CVE-2021-31806 CVE-2021-31807 CVE-2021-31808 CVE-2021-33620 CVE-2021-46784 CVE-2022-41317 CVE-2022-41318 CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-5824 CVE-2024-25111 CVE-2024-25617 CVE-2024-37894 CVE-2024-45802 CVE-2025-54574 CVE-2025-59362 CVE-2025-62168
Disclaimer
This page contains threat intelligence information for the IPv4 address 176.100.37.142 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.