103.82.195.114 Threat Intelligence and Host Information
Aug 21, 2026
ipinfopage
General
IP Address
103.82.195.114
IPv4 Address
Network
AS149089
CLOUDFLY CORPORATION
Threat Score
44/100
Medium Risk
cowriedigitaloceandionaeafatthoneytrapmailoneyp0f
Geographic Location
Coordinates
16.1667, 107.8333
Network Information
Organization
CLOUDFLY CORPORATION
Network
AS149089 CLOUDFLY CORPORATION
WHOIS Information
inetnum
103.82.192.0 - 103.82.195.255
last-modified
2024-04-08T07:51:20Z
address
247 Cau Giay, Dich Vong Ward, Cau Giay District, Ha Noi
e-mail
support@CloudFly.vn
abuse-mailbox
hm-changed@vnnic.vn
- Country: Vietnam
- Network:
- Noticed: 2 times
- Protocols Attacked: combined portscan
CVEs Detected
CVE-2019-12519
CVE-2019-12520
CVE-2019-12521
CVE-2019-12522
CVE-2019-12523
CVE-2019-12524
CVE-2019-12525
CVE-2019-12526
CVE-2019-12527
CVE-2019-12528
CVE-2019-12529
CVE-2019-12854
CVE-2019-13345
CVE-2019-18676
CVE-2019-18677
CVE-2019-18678
CVE-2019-18679
CVE-2019-18860
CVE-2020-11945
CVE-2020-14058
CVE-2020-15049
CVE-2020-15810
CVE-2020-15811
CVE-2020-24606
CVE-2020-25097
CVE-2020-8449
CVE-2020-8450
CVE-2020-8517
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-2022-41318
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
CVE-2024-25111
CVE-2024-25617
CVE-2024-37894
CVE-2024-45802
CVE-2025-54574
CVE-2025-59362
CVE-2025-62168
CVE-2026-32748
CVE-2026-33515
CVE-2026-33526
CVE-2026-47729
CVE-2026-50012
Disclaimer
This page contains threat intelligence information for the IPv4 address 103.82.195.114 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.