173.82.13.226 Threat Intelligence and Host Information
Aug 30, 2023
ipinfopage
General
IP Address
173.82.13.226
Location
🇺🇸 United States
Network
AS35916
Threat Score
15/100
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
United States
City
Unknown
Region
Unknown
Coordinates
37.7510, -97.8220
Network Information
ASN
AS35916
Organization
MULTA-ASN1
Network
AS35916 MULTA-ASN1
WHOIS Information
NetRange
173.82.9.224 - 173.82.26.255
CIDR
173.82.26.0/24, 173.82.12.0/22, 173.82.9.224/27, 173.82.24.0/23, 173.82.16.0/21, 173.82.10.0/23
NetName
AWS-MULTA
NetHandle
NET-173-82-9-224-1
Parent
AMAZO-140 (NET-173-82-0-0-1)
NetType
Reassigned
OriginAS
Organization
MULTACOM CORPORATION (MULTA)
RegDate
2005-03-23
Updated
2017-01-28
Ref
https://rdap.arin.net/registry/entity/MULTA
OrgName
MULTACOM CORPORATION
OrgId
MULTA
Address
410 Terry Ave N.
City
Canyon Country
StateProv
CA
PostalCode
91387
Country
US
OrgTechHandle
NOC1793-ARIN
OrgTechName
Network Operations Center
OrgTechPhone
+1-661-977-9436
OrgTechEmail
noc@multacom.com
OrgTechRef
https://rdap.arin.net/registry/entity/NOC1793-ARIN
OrgAbuseHandle
ABUSE898-ARIN
- Country: United States
- Network: AS35916 multacom corporation
- Noticed: 1 times
- Protcols Attacked: SSH
- Passive DNS Results: haokanye.com shikareess.com kesehatanvegan.com 51maihou.com xmjxt.com hszczx.com dymzp.com ppp307.com gxlqt.com ccsitong.com gxgjean.com eqianling.com
CVEs Detected
CVE-2016-20012 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-14145 CVE-2020-15778 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408
Share on:Disclaimer
This page contains threat intelligence information for the IPv4 address 173.82.13.226 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.