103.158.138.179 Threat Intelligence and Host Information
Jun 02, 2024
ipinfopage
General
IP Address
103.158.138.179
Location
🇮🇳 Mumbai, India
Network
AS137166
Threat Score
32/100
Attack Intelligence
MITRE ATT&CK Techniques
T1110.001 - Password Guessing, T1110.003 - Password Spraying, T1110 - Brute Force, T1583.005 - Botnet
Open Ports Detected
22
Geographic Location
Country
India
City
Mumbai
Region
Maharashtra
Coordinates
19.0748, 72.8856
Network Information
ASN
AS137166
Organization
Digital Satellite Connect Pvt Ltd
Network
AS137166 Digital Satellite Connect Pvt Ltd
WHOIS Information
inetnum
103.158.138.0 - 103.158.139.255
netname
SNEHAS
descr
SNEHA SALES AND SERVICES PRIVATE LIMITED
admin-c
NG265-AP
tech-c
NG265-AP
country
IN
mnt-by
MAINT-IN-SNEHAS
mnt-lower
MAINT-IN-SNEHAS
mnt-irt
IRT-SNEHAS-IN
mnt-routes
MAINT-IN-SNEHAS
status
ALLOCATED PORTABLE
last-modified
2020-11-16T07:53:54Z
irt
IRT-SNEHAS-IN
address
F-209,KAILASH INDUSTRIAL COMPLEX ,VIKHROLI PARK SIDE (WEST),Mumbai,Maharashtra-400079
e-mail
nagesh.g@digitalsatellite.in
abuse-mailbox
nagesh.gavas@hotmail.com
person
NAGESH GAVAS
phone
+91 02267241515
nic-hdl
NG265-AP
route
103.158.138.0/24
origin
AS141251
Attack Logs
| Date | Target Location | Protocol | Link |
|---|---|---|---|
| 2024-05-29 | Perth, Australia | MULTIPLE | View Log |
- Country: India
- Network: AS137166 digital satellite connect pvt ltd
- Noticed: 1 times
- Protocols Attacked: SSH
- Countries Attacked: Belgium
CVEs Detected
CVE-2007-2768 CVE-2008-3844 CVE-2012-6708 CVE-2015-9251 CVE-2016-10009 CVE-2016-10010 CVE-2016-10011 CVE-2016-10012 CVE-2016-10708 CVE-2016-20012 CVE-2016-8858 CVE-2017-15906 CVE-2018-15473 CVE-2018-15919 CVE-2018-20685 CVE-2019-11358 CVE-2019-6109 CVE-2019-6110 CVE-2019-6111 CVE-2020-11022 CVE-2020-11023 CVE-2020-14145 CVE-2020-15778 CVE-2020-7656 CVE-2021-36368 CVE-2021-41617 CVE-2023-38408 CVE-2023-48795 CVE-2023-51385 CVE-2023-51767
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.158.138.179 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.