101.255.82.126 Threat Intelligence and Host Information

General

IP Address
101.255.82.126
IPv4 Address
Location
🇮🇩 Bandung, Indonesia
ID
Network
AS38511
PT Remala Abadi
Threat Score
32/100
Medium Risk
scansipsipviciousssh
Attack Intelligence
MITRE ATT&CK Techniques
T1595 - Active Scanning
Open Ports Detected
1433
Geographic Location
Country
Indonesia
City
Bandung
Region
West Java
Coordinates
-6.9217, 107.6071
Network Information
ASN
AS38511
Organization
PT Remala Abadi
Network
AS38511 PT Remala Abadi
WHOIS Information
inetnum
101.255.82.120 - 101.255.82.127
netname
TACHYON-SUBNET-CLIENT
descr
Jakarta Selatan
country
ID
admin-c
BA96-AP
tech-c
MNP2-AP
mnt-by
MAINT-ID-TACHYON
mnt-lower
MAINT-ID-TACHYON
mnt-irt
IRT-ID-TACHYON
status
ASSIGNED NON-PORTABLE
last-modified
2024-01-25T16:14:30Z
irt
IRT-ID-TACHYON
address
DKI - Jakarta, Indonesia
phone
+62-21-8611746
fax-no
+62-21-84994564
e-mail
hostmaster@tachyon.net.id
abuse-mailbox
abuse@tachyon.net.id
irt-nfy
irt@tachyon.net.id
person
M Novel Parisi
nic-hdl
MNP2-AP
route
101.255.80.0/20
origin
AS38511
notify
noc@tachyon.net.id
Attack Logs
Date Target Location Protocol Link
2025-05-07 Warsaw, Poland MSSQL View Log

  • Country: Indonesia
  • Network:
  • Noticed: 1 times
  • Protocols Attacked: mssql
  • Countries Attacked: Australia

CVEs Detected

CVE-2007-4723 CVE-2009-0796 CVE-2009-1390 CVE-2009-2299 CVE-2009-3765 CVE-2009-3766 CVE-2009-3767 CVE-2011-1176 CVE-2011-2688 CVE-2012-3526 CVE-2012-4001 CVE-2012-4360 CVE-2013-0941 CVE-2013-0942 CVE-2013-2765 CVE-2013-4365 CVE-2019-0190 CVE-2024-27316 CVE-2024-38474 CVE-2024-38475 CVE-2024-38476 CVE-2024-38477 CVE-2024-40898

Disclaimer
This page contains threat intelligence information for the IPv4 address 101.255.82.126 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.