137.175.105.68 Threat Intelligence and Host Information
Mar 17, 2024
ipinfopage
General
IP Address
137.175.105.68
Location
🇺🇸 United States
Network
AS54600
Threat Score
5/100
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
137.175.105.64 - 137.175.105.127
CIDR
137.175.105.64/26
NetName
199-180-100-0-1
NetHandle
NET-137-175-105-64-1
Parent
PT-82-8 (NET-137-175-0-0-1)
NetType
Reassigned
OriginAS
AS54600
Organization
PEG TECH INC (PT-82)
RegDate
2013-07-12
Updated
2013-07-12
Ref
https://rdap.arin.net/registry/entity/C04632617
OrgName
PEG TECH INC
OrgId
PT-82
Address
Guangzhou
City
Guangzhou
StateProv
GUANGDONG
PostalCode
610023
Country
CN
OrgAbuseHandle
ABUSE3497-ARIN
OrgAbuseName
Abuse
OrgAbusePhone
+1-657-206-5036
OrgAbuseEmail
abuse@petaexpress.com
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE3497-ARIN
OrgTechHandle
NOC12550-ARIN
- Country: United States
- Network: AS54600 peg tech inc
- Noticed: 1 times
- Protocols Attacked: SSH
- Passive DNS Results: lfsy.org youman4.com 16hongpang.com zhibin35.icu www.minger14.icu minger14.icu www.ranxin45.icu ranxin45.icu www.jida30.icu jida30.icu www.kuomian12.icu kuomian12.icu www.duanbian4.icu duanbian4.icu www.binyu14.icu binyu14.icu www.9houdu.icu 9houdu.icu www.42shouxiao.icu 42shouxiao.icu www.45xibei.icu 45xibei.icu www.12hongpang.icu 12hongpang.icu www.11nuanzi.icu 11nuanzi.icu www.35shanhui.icu 35shanhui.icu www.14dongye.icu 14dongye.icu www.15jiudeng.icu 15jiudeng.icu www.30chabo.icu 30chabo.icu gggjs.com ddd.quhubei.com www.tonghuacun.net www.gggjs.com www.junshi81.com 2828dy.com
Disclaimer
This page contains threat intelligence information for the IPv4 address 137.175.105.68 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.