103.206.247.227 Threat Intelligence and Host Information
Dec 01, 2023
ipinfopage
General
IP Address
103.206.247.227
IPv4 Address
Location
🇮🇩 Jakarta, Indonesia
ID
Network
AS131111
PT Mora Telematika Indonesia
Threat Score
20/100
Low Risk
BruteforceBrute-ForceSSH
Geographic Location
Coordinates
-6.2114, 106.8446
Network Information
Organization
PT Mora Telematika Indonesia
Network
AS131111 PT Mora Telematika Indonesia
WHOIS Information
inetnum
103.206.244.0 - 103.206.247.255
mnt-routes
MAINT-ID-INDOCEN
last-modified
2020-11-12T05:53:41Z
address
Jl. KH. Noer Alie RT.001 RW.003
abuse-mailbox
dwiutha@live.com
Attack Logs
| Date |
Target Location |
Protocol |
Link |
| 2023-12-01 |
Toronto, Canada |
SSH |
View Log |
- Country: Indonesia
- Network: AS131111 mora telematika indonesia
- Noticed: 1 times
- Protcols Attacked: ssh
CVEs Detected
CVE-2006-20001
CVE-2008-0455
CVE-2010-1452
CVE-2010-1623
CVE-2010-2068
CVE-2011-0419
CVE-2011-3192
CVE-2011-3348
CVE-2011-3368
CVE-2011-3607
CVE-2011-3639
CVE-2011-4317
CVE-2011-4415
CVE-2012-0031
CVE-2012-0053
CVE-2012-0883
CVE-2012-2687
CVE-2012-3499
CVE-2012-4557
CVE-2012-4558
CVE-2013-1862
CVE-2013-1896
CVE-2013-5704
CVE-2013-6438
CVE-2014-0098
CVE-2014-0118
CVE-2014-0226
CVE-2014-0231
CVE-2015-0228
CVE-2015-3183
CVE-2016-4975
CVE-2016-5387
CVE-2016-8612
CVE-2016-8743
CVE-2017-3167
CVE-2017-3169
CVE-2017-7679
CVE-2017-9788
CVE-2017-9798
CVE-2018-1301
CVE-2018-1302
CVE-2018-1303
CVE-2021-34798
CVE-2021-39275
CVE-2021-40438
CVE-2021-44790
CVE-2022-22719
CVE-2022-22720
CVE-2022-22721
CVE-2022-28330
CVE-2022-28614
CVE-2022-28615
CVE-2022-29404
CVE-2022-30556
CVE-2022-31813
CVE-2022-37436
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.206.247.227 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.