110.39.161.62 Threat Intelligence and Host Information
Sep 24, 2024
ipinfopage
General
IP Address
110.39.161.62
Location
🇵🇰 Sialkot, Pakistan
Network
AS38264
Threat Score
17/100
Attack Intelligence
Open Ports Detected
1701
Geographic Location
Country
Pakistan
City
Sialkot
Region
Punjab
Coordinates
32.5087, 74.5416
Network Information
ASN
AS38264
Organization
National WiMAXIMS environment
Network
AS38264 National WiMAXIMS environment
WHOIS Information
inetnum
110.39.161.0 - 110.39.161.255
netname
WATEEN-TEL
descr
wateen
country
PK
admin-c
MA1104-AP
tech-c
MA1104-AP
abuse-c
AW997-AP
status
ASSIGNED NON-PORTABLE
mnt-by
MAINT-PK-WATEEN
mnt-irt
IRT-WATEENTEL-PK
geoloc
31.457933501 74.252230242
last-modified
2017-06-08T09:36:19Z
irt
IRT-WATEENTEL-PK
address
Wateen Telecom Limited Main Walton Road, Opp. Bab-e-Pakistan, Walton Cantt., Lahore
e-mail
Muhammad.Ashraf2@wateen.com
abuse-mailbox
Muhammad.Ashraf2@wateen.com
role
ABUSE WATEENTELPK
phone
+92-321-4497383
nic-hdl
MA1104-AP
person
Muhammad Ashraf
route
110.39.161.0/24
origin
AS38264
mnt-lower
MAINT-PK-WATEEN
mnt-routes
MAINT-PK-WATEEN
- Country: Pakistan
- Network: AS38264 national wimax/ims environment
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
CVEs Detected
CVE-2018-1156 CVE-2018-1157 CVE-2018-1158 CVE-2018-1159 CVE-2018-14847 CVE-2018-5951 CVE-2018-7445 CVE-2019-13074 CVE-2019-13954 CVE-2019-13955 CVE-2019-15055 CVE-2019-16160 CVE-2019-3924 CVE-2019-3943 CVE-2019-3976 CVE-2019-3977 CVE-2019-3978 CVE-2019-3979 CVE-2019-3981 CVE-2020-10364 CVE-2020-20021 CVE-2020-20217 CVE-2020-20220 CVE-2020-20221 CVE-2020-20225 CVE-2020-20230 CVE-2020-20247 CVE-2020-20249 CVE-2020-20250 CVE-2020-20252 CVE-2020-20253 CVE-2020-20254 CVE-2020-20262 CVE-2020-20264 CVE-2020-20265 CVE-2020-20266 CVE-2020-20267 CVE-2021-3014 CVE-2021-36613 CVE-2021-36614 CVE-2022-36522 CVE-2022-45313 CVE-2022-45315 CVE-2023-30799 CVE-2023-30800
Disclaimer
This page contains threat intelligence information for the IPv4 address 110.39.161.62 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.