200.105.169.70 Threat Intelligence and Host Information
Jun 19, 2024
ipinfopage
General
IP Address
200.105.169.70
Location
🇧🇴 La Paz, Bolivia
Network
AS26210
Threat Score
28/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
2000
Geographic Location
Country
Bolivia
City
La Paz
Region
Departamento de La Paz
Coordinates
-16.5002, -68.1493
Network Information
ASN
AS26210
Organization
AXS Bolivia S. A.
Network
AS26210 AXS Bolivia S. A.
WHOIS Information
inetnum
200.105.160.0/19
status
allocated
aut-num
N/A
owner
AXS Bolivia S. A.
ownerid
BO-ACBS1-LACNIC
responsible
Richard Sandoval
address
00000 - La Paz - LP
country
BO
phone
+591 2 2971111 [1113]
owner-c
RLG2
tech-c
RLG2
abuse-c
RLG2
inetrev
200.105.160.0/19
nserver
NS2.ACELERATE.COM
nsstat
20240629 AA
nslastaa
20240629
created
20090730
changed
20220303
nic-hdl
RLG2
person
Roberto Loza Guachalla
e-mail
rloza@acelerate.com
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2024-02-15 | Vultrparis | SSH | View Log |
- Country: Bolivia
- Network: AS26210 axs bolivia s a
- Noticed: 3 times
- Protocols Attacked: ssh
- Countries Attacked: Australia, France
Disclaimer
This page contains threat intelligence information for the IPv4 address 200.105.169.70 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.