178.13.91.167 Threat Intelligence - Germany | IP Address Lookup
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General
IP Address
178.13.91.167
Location
🇩🇪 Frankfurt am Main, Germany
Network
AS3209
Threat Score
50/100
Attack Intelligence
Noticed
12 times
Protocols Attacked
combined portscan ssh
Passive DNS
m-pathie.com
Open Ports Detected
11014325443465587808443
Geographic Location
Country
Germany
City
Frankfurt am Main
Region
Hesse
Coordinates
50.1234, 8.6119
Network Information
ASN
AS3209
Organization
Vodafone GmbH
Network
AS3209 Vodafone GmbH
Associated CVEs
WHOIS Information
inetnum
178.0.0.0 - 178.15.255.255
netname
DE-ARCOR-20100112
country
DE
org
ORG-MAT1-RIPE
admin-c
ANOC1-RIPE
tech-c
ANOC1-RIPE
status
ALLOCATED PA
mnt-by
RIPE-NCC-HM-MNT
mnt-lower
ARCOR-MNT
mnt-domains
ARCOR-MNT
mnt-routes
ARCOR-MNT
created
2010-01-12T09:01:45Z
last-modified
2016-09-02T06:24:49Z
organisation
ORG-MAT1-RIPE
org-name
Vodafone GmbH
reg-nr
District court Düsseldorf HRB 38062
org-type
LIR
address
Ferdinand-Braun-Platz 1
phone
+496921690
fax-no
+496921695663
abuse-c
ANOC1-RIPE
mnt-ref
RIPE-NCC-HM-MNT
role
Vodafone Germany IP Core Backbone
nic-hdl
ANOC1-RIPE
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-04 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-02 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-09-02 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Toronto, Canada | SSH | View Log |
| 2026-09-01 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Digitaloceantoronto Combined | Multiple | View Log |
| 2026-08-31 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Toronto, Canada | SSH | View Log |
| 2026-08-30 | Digitaloceantoronto Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 178.13.91.167 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.