45.174.94.26 Threat Intelligence and Host Information

General

IP Address
45.174.94.26
IPv4 Address
Location
🇲🇽 San Juan Bautista Tuxtla, Mexico
MX
Network
AS28429
Enlace de Datos y Redes SA de CV
Threat Score
5/100
Low Risk
Attack Intelligence
Open Ports Detected
1701
Geographic Location
Country
Mexico
City
San Juan Bautista Tuxtla
Region
Oaxaca
Coordinates
18.0949, -96.1412
Network Information
ASN
AS28429
Organization
Enlace de Datos y Redes SA de CV
Network
AS28429 Enlace de Datos y Redes SA de CV
WHOIS Information
inetnum
45.174.92.0/22
status
allocated
aut-num
N/A
owner
Enlace de Datos y Redes SA de CV
ownerid
MX-EDYR-LACNIC
responsible
Rafael Nuñez Cuevas
address
683750 - San Juan Bautista, Tuxtepec - OA
country
MX
phone
+52 2878756019 [11111]
owner-c
SYU3
tech-c
SYU3
abuse-c
SYU3
inetrev
45.174.92.0/22
nserver
KS01.KONECTATE.CO
nsstat
20251010 AA
nslastaa
20251010
created
20160120
changed
20190516
nic-hdl
SYU3
person
Sattlink Internet
e-mail
rafael.nunez@sattlink.com

  • Country: Mexico
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: Anonymous Proxy

Malware Detected on Host

Count: 1 e8e80af036ef79951fc17ee011894e93cbf22fa2b124b55f9fab9376b444e6a1

Disclaimer
This page contains threat intelligence information for the IPv4 address 45.174.94.26 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.