139.99.40.155 Threat Intelligence and Host Information
Mar 14, 2025
ipinfopage
General
IP Address
139.99.40.155
Location
🇸🇬 Singapore, Singapore
Network
AS16276
Threat Score
5/100
Attack Intelligence
Open Ports Detected
22
Geographic Location
Country
Singapore
City
Singapore
Region
Unknown
Coordinates
1.2868, 103.8503
Network Information
ASN
AS16276
Organization
OVH SAS
Network
AS16276 OVH SAS
WHOIS Information
NetRange
139.99.40.0 - 139.99.47.255
CIDR
139.99.40.0/21
NetName
VPS-SGP
NetHandle
NET-139-99-40-0-1
Parent
OVH-SG-1 (NET-139-99-0-0-2)
NetType
Reassigned
OriginAS
AS16276
Organization
OVH Singapore PTE. LTD (OSPL-8)
RegDate
2016-09-15
Updated
2016-09-15
Ref
https://rdap.arin.net/registry/entity/OSPL-8
OrgName
OVH Singapore PTE. LTD
OrgId
OSPL-8
Address
800-1801 McGill College
City
SINGAPORE
StateProv
PostalCode
069536
Country
SG
OrgTechHandle
NOC11876-ARIN
OrgTechName
NOC
OrgTechPhone
+1-855-684-5463
OrgTechEmail
noc@ovh.net
OrgTechRef
https://rdap.arin.net/registry/entity/NOC11876-ARIN
OrgAbuseHandle
NOC11876-ARIN
- Country: Singapore
- Network:
- Noticed: 1 times
- Protocols Attacked: Anonymous Proxy
- Passive DNS Results: fly1.hostlive.org fly2.hostlive.org violet.eanglemail.com www.violet.eanglemail.com brety.eanglemail.com www.brety.eanglemail.com smtp.eanglemail.com www.smtp.eanglemail.com shared.eanglemail.com www.shared.eanglemail.com www.eanglemail.com eanglemail.com 139-99-40-155.cprapid.com www.139-99-40-155.cprapid.com www.lwsf2021.com lwsf2021.com sstgaming.com
Malware Detected on Host
Count: 1 2ad8b9bd18f607f61392d8d6a79837013328644915e090901eeb09b6c460d616
Disclaimer
This page contains threat intelligence information for the IPv4 address 139.99.40.155 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.