103.60.102.99 Threat Intelligence and Host Information

General

IP Address
103.60.102.99
IPv4 Address
Location
🇮🇳 Ludhiana, India
IN
Network
AS134040
Vayutel Technology Services Private Limi...
Threat Score
36/100
Medium Risk
blacklistbruteforcebruteforceBruteforceBrute-ForceMaliciousIP
Attack Intelligence
MITRE ATT&CK Techniques
T1110 - Brute Force
Open Ports Detected
3128
Geographic Location
Country
India
City
Ludhiana
Region
Punjab
Coordinates
31.0048, 75.9463
Network Information
ASN
AS134040
Organization
Vayutel Technology Services Private Limited
Network
AS134040 Vayutel Technology Services Private Limited
WHOIS Information
inetnum
103.60.100.0 - 103.60.103.255
netname
VAYUTEL
descr
Vayutel Technology Services Private Limited
admin-c
MK1188-AP
tech-c
MK1188-AP
country
IN
mnt-by
MAINT-IN-VAYUTEL
mnt-lower
MAINT-IN-VAYUTEL
mnt-irt
IRT-VAYUTEL-IN
mnt-routes
MAINT-IN-VAYUTEL
status
ALLOCATED PORTABLE
last-modified
2020-07-05T02:18:25Z
irt
IRT-VAYUTEL-IN
address
B-31-1138/80-B, Mundian Kalan, Guru Teg Bahadur Nagar, Ludhiana 141010,Ludhiana,Punjab-141010
e-mail
admin@vayutel.com
abuse-mailbox
admin@vayutel.com
role
Manager Admin
phone
+91 01615020600
nic-hdl
MK1188-AP
person
Manoj Kumar
route
103.60.102.0/24
origin
AS134040
notify
admin@vayutel.com
Attack Logs
Date Target Location Protocol Link
2024-10-03 London, UK SSH View Log

  • Country: India
  • Network: AS134040 vayutel technology services private limited
  • Noticed: 3 times
  • Protocols Attacked: ssh
  • Countries Attacked: Australia

CVEs Detected

CVE-2020-25097 CVE-2021-28116 CVE-2021-28651 CVE-2021-28652 CVE-2021-28662 CVE-2021-31806 CVE-2021-31807 CVE-2021-31808 CVE-2021-33620 CVE-2021-46784 CVE-2022-41317 CVE-2022-41318 CVE-2023-46724 CVE-2023-46728 CVE-2023-46846 CVE-2023-46847 CVE-2023-49285 CVE-2023-49286 CVE-2023-49288 CVE-2023-50269 CVE-2023-5824

Disclaimer
This page contains threat intelligence information for the IPv4 address 103.60.102.99 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.