103.165.245.146 Threat Intelligence and Host Information
Mar 14, 2025
ipinfopage
General
IP Address
103.165.245.146
IPv4 Address
Location
🇮🇩 Jember, Indonesia
ID
Network
AS58369
PT. Fiber Networks Indonesia
Threat Score
15/100
Low Risk
Geographic Location
Coordinates
-8.1716, 113.7052
Network Information
Organization
PT. Fiber Networks Indonesia
Network
AS58369 PT. Fiber Networks Indonesia
WHOIS Information
inetnum
103.165.244.0 - 103.165.245.255
descr
Route Object 103.165.244.0/23
mnt-routes
MAINT-ID-PIRELLI
last-modified
2021-05-05T06:58:42Z
address
Subang, Jawa Barat 41261
e-mail
khairuman.irham@evoluzione-tyres.com
abuse-mailbox
khairuman.irham@evoluzione-tyres.com
- Country: Indonesia
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2006-20001
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-2015-9251
CVE-2019-0190
CVE-2019-11358
CVE-2020-11022
CVE-2020-11023
CVE-2021-32785
CVE-2021-32786
CVE-2021-32791
CVE-2021-32792
CVE-2021-33193
CVE-2021-34798
CVE-2021-36160
CVE-2021-39275
CVE-2021-40438
CVE-2021-4160
CVE-2021-44224
CVE-2021-44790
CVE-2022-0778
CVE-2022-1292
CVE-2022-2068
CVE-2022-2097
CVE-2022-22719
CVE-2022-22720
CVE-2022-22721
CVE-2022-23943
CVE-2022-26377
CVE-2022-28330
CVE-2022-28614
CVE-2022-28615
CVE-2022-29404
CVE-2022-30556
CVE-2022-31813
CVE-2022-36760
CVE-2022-37436
CVE-2022-4304
CVE-2022-4450
CVE-2023-0215
CVE-2023-0286
CVE-2023-0464
CVE-2023-0465
CVE-2023-0466
CVE-2023-25690
CVE-2023-2650
CVE-2023-27522
CVE-2023-31122
CVE-2023-3817
CVE-2023-45802
CVE-2023-4807
CVE-2023-5678
CVE-2024-0727
CVE-2024-27316
CVE-2024-38474
CVE-2024-38476
CVE-2024-38477
CVE-2024-40898
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.165.245.146 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.