IP to Abuser Database
IP to Abuser Database
Abuser Detection
IP Abuse Prevention
The IP to Abuser Database is a database that contains IP
addresses known for abusive behavior. The database is updated on a regular basis and is
available for purchase in CSV or MMDB format.
Abusive IP addresses can be used for various malicious activities, including spam, hacking attempts, and
DDoS
attacks.
The IP to Abuser Database is a valuable tool for businesses that want to detect and prevent abuse on their
website or
app and to take appropriate measures to protect their services.
IP to Abuser Database
Price
49$ per month
Filesize
96MB
Format
CSV and MMDB
Total Abuser IPs
2,401,377
Last Updated
November 20, 2024
#
Purchase Database
To purchase the database, you need to create a free account. Database subscriptions are billed monthly and can be
canceled at any time. Learn more about the pricing and the terms. If you purchase the database, you will receive a download link to the database file
for all formats.
The file format of the IP to Abuser Database is either in CSV or MMDB format and contains the following
fields:
ipVersion
- Either 4
(IPv4) or 6
(IPv6), determining
the IP type of the network.
startIp
- The start IP address of the range in string format. Example:
45.86.210.31
endIp
- The end IP address of the range in string format. Example:
45.86.210.31
isAbuser
- A boolean value indicating whether the IP is known for abusive behavior.
Example:
true
The following example contains a small excerpt of the entire database:
startIp,endIp,ipVersion,isAbuser
1.10.16.0,1.10.31.255,4,true
1.19.0.0,1.19.255.255,4,true
1.32.128.0,1.32.191.255,4,true
1.52.110.186,1.52.110.187,4,true
1.52.185.38,1.52.185.39,4,true
1.53.17.162,1.53.17.163,4,true
1.54.7.132,1.54.7.133,4,true
1.55.211.114,1.55.211.115,4,true
1.55.216.162,1.55.216.163,4,true
1.192.12.0,1.192.15.255,4,true
1.196.136.0,1.196.139.255,4,true
1.197.203.0,1.197.203.255,4,true
1.197.204.0,1.197.204.255,4,true
1.198.72.0,1.198.73.255,4,true
1.199.157.0,1.199.157.255,4,true
1.204.114.92,1.204.114.92,4,true
1.227.83.30,1.227.83.31,4,true
1.227.83.32,1.227.83.33,4,true
#
How to use the IP to Abuser Database?
This example shows how to work with the IP to Abuser Database in MMDB format. First, you have to download
the
database sample:
curl -O https://ipapi.is/data/samples/Abuser-Database-Sample.mmdb
And then you can read the database with mmdbctl:
mmdbctl read -f json-pretty 1.69.21.133 Abuser-Database-Sample.mmdb
which outputs:
{
"ipVersion": "4",
"isAbuser": "true",
"network": "1.69.21.133-1.69.21.133"
}
#
Why is Abuser Detection Important?
Abuser detection is the process of identifying IP addresses that are known for malicious or abusive
behavior.
It is crucial for maintaining the security and integrity of online services.
The IP to Abuser Database includes information about IP addresses known for abusive behavior. This helps in
identifying and mitigating potential threats to your online services.
There are many good reasons why websites or apps want to detect abusive IP addresses:
- Prevent spam and unwanted automated activities
- Protect against DDoS attacks
- Reduce the risk of fraud and malicious activities
- Improve overall security of online services
- Maintain the quality of user experience for legitimate users
#
How does Abuser Detection Work?
Abuser detection involves various methods to identify IP addresses associated with malicious activities.
These
methods may include:
- Historical Data Analysis: Examining past behavior and patterns associated with IP
addresses.
- Real-time Monitoring: Continuously tracking IP activities for suspicious behavior.
- Machine Learning Algorithms: Using AI to predict and identify potentially abusive IP
addresses based on various factors.
- Collaborative Databases: Sharing information about known abusive IP addresses across
multiple platforms and services.
By utilizing these methods, the IP to Abuser Database provides a comprehensive list of IP addresses that
have
been identified as potentially abusive, helping you protect your online services more effectively.