141.76.72.140 Threat Intelligence - Germany | IP Address Lookup
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General
IP Address
141.76.72.140
Location
🇩🇪 Dresden, Germany
Network
AS680
Threat Score
35/100
Attack Intelligence
Noticed
7 times
Protocols Attacked
exit
Open Ports Detected
44380
Geographic Location
Country
Germany
City
Dresden
Region
Saxony
Coordinates
51.0540, 13.7447
Network Information
ASN
AS680
Organization
Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
Network
AS680 Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
Associated CVEs
WHOIS Information
inetnum
141.76.0.0 - 141.76.255.255
netname
TUDINF-LAN
org
ORG-TUD6-RIPE
descr
Technische Universitaet Dresden
country
DE
admin-c
TUD-RIPE
tech-c
TUD-RIPE
abuse-c
TUD1-RIPE
status
LEGACY
mnt-by
RIPE-NCC-LEGACY-MNT
mnt-irt
IRT-DFN-CERT
mnt-domains
TUD-HOSTMASTER-MNT
mnt-lower
DFN-LIR-MNT
mnt-routes
DFN-MNT
created
1970-01-01T00:00:00Z
last-modified
2024-02-15T13:58:52Z
organisation
ORG-TUD6-RIPE
org-name
Technische Universitaet Dresden
reg-nr
Not Applicable
org-type
LIR
address
Helmholtzstr. 10
phone
+4935146335450
mnt-ref
TU-DRESDEN-MNT
role
TU Dresden / ZIH
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-08-24 | Tor Exit Node Ip List 2026 08 24 | Multiple | View Log |
| 2026-08-23 | Tor Exit Node Ip List 2026 08 23 | Multiple | View Log |
| 2026-08-22 | Tor Exit Node Ip List 2026 08 22 | Multiple | View Log |
| 2026-08-21 | Tor Exit Node Ip List 2026 08 21 | Multiple | View Log |
| 2026-08-20 | Tor Exit Node Ip List 2026 08 20 | Multiple | View Log |
| 2026-08-19 | Tor Exit Node Ip List 2026 08 19 | Multiple | View Log |
| 2026-08-18 | Tor Exit Node Ip List 2026 08 18 | Multiple | View Log |
Additional Intelligence
Tor Exit Node
Yes
Disclaimer
This page contains threat intelligence information for the IPv4 address 141.76.72.140 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.