141.95.156.38 Threat Intelligence - France | IP Address Lookup

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General

IP Address
141.95.156.38
IPv4 Address
Location
🇫🇷 France
FR
Network
AS16276
OVH SAS
Threat Score
55/100
High Risk
betsecowriedionaeafatthoneytrapmailoneyp0fRimbaSiber
Attack Intelligence
Noticed
5 times
Protocols Attacked
exit
Countries Attacked
Malaysia
Open Ports Detected
223121044380808443
Geographic Location
Country
France
City
Unknown
Region
Unknown
Coordinates
48.8582, 2.3387
Network Information
ASN
AS16276
Organization
OVH SAS
Network
AS16276 OVH SAS
Associated CVEs
WHOIS Information
inetnum
141.95.156.0 - 141.95.156.255
netname
SD-GRA-gra3-sdagg17ab-n93
country
FR
org
ORG-OS3-RIPE
geoloc
50.98721 2.120542
admin-c
OTC2-RIPE
tech-c
OTC2-RIPE
status
ASSIGNED PA
mnt-by
OVH-MNT
created
2021-11-26T08:08:53Z
last-modified
2021-11-26T08:08:53Z
organisation
ORG-OS3-RIPE
org-name
OVH SAS
reg-nr
424 761 419 R.C.S. LILLE METROPOLE
org-type
LIR
address
2 rue Kellermann
phone
+33972101007
abuse-c
AR15333-RIPE
mnt-ref
OVH-MNT
role
OVH Technical Contact
nic-hdl
OTC2-RIPE
abuse-mailbox
abuse@ovh.net
route
141.95.128.0/17
origin
AS16276
Attack Logs
DateTarget LocationProtocolLink
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
2026-08-17 Tor Exit Node Ip List 2026 08 17 Multiple View Log
2026-08-16 Tor Exit Node Ip List 2026 08 16 Multiple View Log
2026-08-15 Tor Exit Node Ip List 2026 08 15 Multiple View Log
Additional Intelligence
Tor Exit Node
Yes
Disclaimer
This page contains threat intelligence information for the IPv4 address 141.95.156.38 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.