45.178.1.251 Threat Intelligence - Argentina | IP Address Lookup

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General

IP Address
45.178.1.251
IPv4 Address
Location
🇦🇷 San Luis, Argentina
AR
Network
AS267882
AGENCIA DE CIENCIA, TECNOLOGIA Y SOCIEDA...
Threat Score
31/100
Medium Risk
blacklistbotnethttpimageMalicious IPmirairangescan
Attack Intelligence
Noticed
3 times
Protocols Attacked
fake mitre
Geographic Location
Country
Argentina
City
San Luis
Region
San Luis
Coordinates
-33.2991, -66.3547
Network Information
ASN
AS267882
Organization
AGENCIA DE CIENCIA, TECNOLOGIA Y SOCIEDAD SAN LUIS
Network
AS267882 AGENCIA DE CIENCIA, TECNOLOGIA Y SOCIEDAD SAN LUIS
WHOIS Information
inetnum
45.178.0.0/22
status
allocated
aut-num
N/A
owner
AGENCIA DE CIENCIA, TECNOLOGIA Y SOCIEDAD SAN LUIS
ownerid
AR-ASLC-LACNIC
responsible
Franco Videla
address
Avenida Universitaria, 0, Centro de Servicios Tecnológicos (Datacenter)
country
AR
phone
+54 2664452000 [0000]
owner-c
FRV23
tech-c
FRV23
abuse-c
FRV23
inetrev
45.178.0.0/22
nserver
DNS.SANLUIS.GOV.AR
nsstat
20261023 AA
nslastaa
20261023
created
20190604
changed
20211013
nic-hdl
FRV23
person
Franco Videla
e-mail
fvidela@ulp.edu.ar
Attack Logs
DateTarget LocationProtocolLink
2026-10-24 Webexploit Mitre T1593 Ip List 2026 10 24 Multiple View Log
2026-10-24 Webexploit Fake Googlebot Ip List 2026 10 24 Multiple View Log
2026-10-21 Webexploit Mitre T1593 Ip List 2026 10 21 Multiple View Log
2026-10-21 Webexploit Fake Googlebot Ip List 2026 10 21 Multiple View Log
2026-07-12 Webexploit Mitre T1593 Ip List 2026 07 12 Multiple View Log
2026-07-12 Webexploit Fake Googlebot Ip List 2026 07 12 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 45.178.1.251 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.