157.143.132.32 Threat Intelligence - France | IP Address Lookup

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General

IP Address
157.143.132.32
IPv4 Address
Location
🇫🇷 Paris, France
FR
Network
AS8399
SEWAN SAS
Threat Score
50/100
Medium Risk
automatedb2bbankingblacklistbotnetbot_scannerbrute-forcecommand_injection
Attack Intelligence
MITRE ATT&CK Techniques
T1059.004 - Unix Shell, T1059 - Command and Scripting Interpreter, T1070.004 - File Deletion, T1098.003 - Add Office 365 Global Administrator Role, T1105 - Ingress Tool Transfer, T1555.004 - Windows Credential Manager, T1595 - Active Scanning
Noticed
8 times
Protocols Attacked
SSH
Countries Attacked
Australia
Open Ports Detected
4433
Geographic Location
Country
France
City
Paris
Region
ÃŽle-de-France
Coordinates
48.8558, 2.3494
Network Information
ASN
AS8399
Organization
SEWAN SAS
Network
AS8399 SEWAN SAS
WHOIS Information
NetRange
157.143.128.0 - 157.143.255.255
CIDR
157.143.128.0/17
NetName
RIPE
NetHandle
NET-157-143-128-0-1
Parent
NET157 (NET-157-0-0-0-0)
NetType
Early Registrations, Transferred to RIPE NCC
Organization
RIPE Network Coordination Centre (RIPE)
RegDate
2021-08-02
Updated
2025-02-10
Ref
https://rdap.arin.net/registry/ip/157.143.128.0
OrgName
RIPE Network Coordination Centre
OrgId
RIPE
Address
P.O. Box 10096
City
Amsterdam
PostalCode
1001EB
Country
NL
OrgAbuseHandle
ABUSE3850-ARIN
OrgAbuseName
Abuse Contact
OrgAbusePhone
+31205354444
OrgAbuseEmail
abuse@ripe.net
OrgAbuseRef
https://rdap.arin.net/registry/entity/ABUSE3850-ARIN
OrgTechHandle
RNO29-ARIN
OrgTechName
RIPE NCC Operations
OrgTechPhone
+31 20 535 4444
Attack Logs
DateTarget LocationProtocolLink
2026-08-31 Cve 2019 5418 Attacker Ip List 2026 08 31 Multiple View Log
2026-08-31 Cve 2021 42013 Attacker Ip List 2026 08 31 Multiple View Log
2026-08-31 Cve 2021 41773 Attacker Ip List 2026 08 31 Multiple View Log
Disclaimer
This page contains threat intelligence information for the IPv4 address 157.143.132.32 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.