157.245.107.81 Threat Intelligence and Host Information

General

IP Address
157.245.107.81
IPv4 Address
Location
🇮🇳 Bengaluru, India
IN
Network
AS14061
DIGITALOCEAN-ASN
Threat Score
45/100
Medium Risk
cybersecurityiocmaliciousNextrayphishingprobingScanner
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
India
City
Bengaluru
Region
Karnataka
Coordinates
12.9634, 77.5855
Network Information
ASN
AS14061
Organization
DIGITALOCEAN-ASN
Network
AS14061 DIGITALOCEAN-ASN
WHOIS Information
NetRange
157.245.0.0 - 157.245.255.255
CIDR
157.245.0.0/16
NetName
DIGITALOCEAN-157-245-0-0
NetHandle
NET-157-245-0-0-1
Parent
NET157 (NET-157-0-0-0-0)
NetType
Direct Allocation
OriginAS
AS14061
Organization
DigitalOcean, LLC (DO-13)
RegDate
2012-05-14
Updated
2023-10-23
Comment
Ref
https://rdap.arin.net/registry/entity/DO-13
OrgName
DigitalOcean, LLC
OrgId
DO-13
Address
FL2
City
New York
StateProv
NY
PostalCode
10013
Country
US
OrgNOCHandle
NOC32014-ARIN
OrgNOCName
Network Operations Center
OrgNOCPhone
+1-347-875-6044
OrgNOCEmail
noc@digitalocean.com
OrgNOCRef
https://rdap.arin.net/registry/entity/NOC32014-ARIN

  • Country: India
  • Network: AS14061 digitalocean llc
  • Noticed: 50 times
  • Protocols Attacked: SSH
  • Countries Attacked: Canada, Czechia, Denmark, Estonia, France, Germany, Latvia, Lithuania, Norway, Poland, Romania, Turkey, Ukraine, United Kingdom of Great Britain and Northern Ireland, United States of America
  • Passive DNS Results: www.yuum.in yuum.in app.yummylandfastfood.com admin.yummylandfastfood.com mybat11.com

CVEs Detected

CVE-2007-2768 CVE-2008-3844 CVE-2023-28531 CVE-2023-38408 CVE-2023-48795 CVE-2023-51384 CVE-2023-51385 CVE-2023-51767

Disclaimer
This page contains threat intelligence information for the IPv4 address 157.245.107.81 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.