186.122.11.85 Threat Intelligence - Argentina | IP Address Lookup
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General
IP Address
186.122.11.85
Location
🇦🇷 San Miguel de Tucumán, Argentina
Network
AS11664
Threat Score
49/100
Attack Intelligence
MITRE ATT&CK Techniques
T1005 - Data from Local System, T1016 - System Network Configuration Discovery, T1041 - Exfiltration Over C2 Channel, T1046 - Network Service Scanning, T1050 - New Service, T1057 - Process Discovery, T1059 - Command and Scripting Interpreter, T1069 - Permission Groups Discovery, T1082 - System Information Discovery, T1083 - File and Directory Discovery, T1087 - Account Discovery, T1105 - Ingress Tool Transfer, T1110 - Brute Force, T1190 - Exploit Public-Facing Application, T1213 - Data from Information Repositories, T1512 - Capture Camera, T1539 - Steal Web Session Cookie, T1592 - Gather Victim Host Information, T1595 - Active Scanning
Noticed
2 times
Protocols Attacked
combined portscan
Geographic Location
Country
Argentina
City
San Miguel de Tucumán
Region
Tucuman
Coordinates
-26.8160, -65.2154
Network Information
ASN
AS11664
Organization
Techtel LMDS Comunicaciones Interactivas S.A.
Network
AS11664 Techtel LMDS Comunicaciones Interactivas S.A.
WHOIS Information
inetnum
186.122.0.0/16
status
allocated
aut-num
N/A
owner
AMX Argentina S.A.
ownerid
AR-CCTI1-LACNIC
responsible
Administrador de Direcciones IP
address
Av. de Mayo, 878,
country
AR
phone
+54 11 41098823
owner-c
ADL82
tech-c
SAD3
abuse-c
CAT66
inetrev
186.122.0.0/16
nserver
NS1.TELMEX.NET.AR
nsstat
20261004 AA
nslastaa
20261004
created
20090723
changed
20210316
nic-hdl
ADL82
person
Administrador Lacnic
e-mail
adm_lacnic@claro.com.ar
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2026-09-26 | Vultrtokyo Combined | Multiple | View Log |
Disclaimer
This page contains threat intelligence information for the IPv4 address 186.122.11.85 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.