107.148.92.70 Threat Intelligence and Host Information

General

IP Address
107.148.92.70
IPv4 Address
Location
🇺🇸 United States
US
Network
AS54600
PEGTECHINC
Threat Score
10/100
Low Risk
Attack Intelligence
Open Ports Detected
21
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS54600
Organization
PEGTECHINC
Network
AS54600 PEGTECHINC
WHOIS Information
NetRange
107.148.92.0 - 107.148.93.255
CIDR
107.148.92.0/23
NetName
PEG-LA-803
NetHandle
NET-107-148-92-0-1
Parent
PT-82-10 (NET-107-148-0-0-1)
NetType
Reassigned
OriginAS
AS398823
Organization
PEG TECH INC (PT-82)
RegDate
2023-08-03
Updated
2023-08-03
Comment
Geofeed https://www.raksmart.com/ip2location.csv
Ref
https://rdap.arin.net/registry/entity/C09924993
OrgName
PEG TECH INC
OrgId
PT-82
Address
624 S Grand Ave
City
Los Angeles
StateProv
CA
PostalCode
90017
Country
US
OrgAbuseHandle
ABUSE3497-ARIN
OrgAbuseName
Abuse
OrgAbusePhone
+1-408-692-5581
OrgAbuseEmail
abuse@petaexpress.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE3497-ARIN

  • Country: United States
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: SSH
  • Passive DNS Results: pop-tour.com

CVEs Detected

CVE-2006-20001 CVE-2007-4723 CVE-2009-0796 CVE-2009-1390 CVE-2009-2299 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2019-0190 CVE-2022-2097 CVE-2022-36760 CVE-2022-37436 CVE-2022-4304 CVE-2022-4450 CVE-2023-0215 CVE-2023-0286 CVE-2023-0464 CVE-2023-0465 CVE-2023-0466 CVE-2023-25690 CVE-2023-2650 CVE-2023-27522 CVE-2023-31122 CVE-2023-3817 CVE-2023-45802 CVE-2023-4807 CVE-2023-5678 CVE-2024-0727 CVE-2024-27316 CVE-2024-38474 CVE-2024-38475 CVE-2024-38476 CVE-2024-38477 CVE-2024-40898

Disclaimer
This page contains threat intelligence information for the IPv4 address 107.148.92.70 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.