157.92.188.30 Threat Intelligence - Argentina | IP Address Lookup

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General

IP Address
157.92.188.30
IPv4 Address
Location
🇦🇷 Recoleta, Argentina
AR
Network
AS3449
Universidad Nacional de Buenos Aires
Threat Score
40/100
Medium Risk
Aggressive-DetectionbruteforceBruteforceBrute-ForceConnection-Resetdigital oceanportscanProtocol-Probing
Attack Intelligence
Noticed
7 times
Protocols Attacked
combined portscan ssh
Open Ports Detected
2544358780
Geographic Location
Country
Argentina
City
Recoleta
Region
Buenos Aires F.D.
Coordinates
-34.5828, -58.3955
Network Information
ASN
AS3449
Organization
Universidad Nacional de Buenos Aires
Network
AS3449 Universidad Nacional de Buenos Aires
WHOIS Information
NetRange
157.92.0.0 - 157.92.255.255
CIDR
157.92.0.0/16
NetName
LACNIC-ERX-157-92-0-0
NetHandle
NET-157-92-0-0-1
Parent
NET157 (NET-157-0-0-0-0)
NetType
Transferred to LACNIC
Organization
Latin American and Caribbean IP address Regional Registry (LACNIC)
RegDate
2004-04-07
Updated
2007-12-17
Comment
This IP address range is under LACNIC responsibility
Ref
https://rdap.arin.net/registry/ip/157.92.0.0
OrgName
Latin American and Caribbean IP address Regional Registry
OrgId
LACNIC
Address
Rambla Republica de Mexico 6125
City
Montevideo
PostalCode
11400
Country
UY
OrgTechHandle
LACNIC-ARIN
OrgTechName
LACNIC Whois Info
OrgTechPhone
+598-2604-2222
OrgTechRef
https://rdap.arin.net/registry/entity/LACNIC-ARIN
OrgAbuseHandle
LWI100-ARIN
OrgAbuseName
LACNIC Whois Info
OrgAbusePhone
+598-2604-2222
Attack Logs
DateTarget LocationProtocolLink
2026-08-31 Digitaloceantoronto Combined Multiple View Log
2026-08-31 Toronto, Canada SSH View Log
2026-08-30 Toronto, Canada SSH View Log
2026-08-30 Digitaloceantoronto Combined Multiple View Log
Additional Intelligence
Threat Feeds / IP Sets
  • php_commenters_30d
Disclaimer
This page contains threat intelligence information for the IPv4 address 157.92.188.30 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.