IPQS
Java Database Reader
About the Java Database Reader

The Java database reader allows your Java application to use the on-premise IPQS IP reputation database and make informed decisions about IP addresses.

Installation

Install Manually

You can manually install the Java database reader from source available on the IPQS GitHub.

 

Install via Maven

Alternatively, you can use the IPQS Maven repository to install the Java database reader automatically.

  1. Add a dependency for the Java database reader to your pom.xml file. You will need to add a parent tag if none exists:

     

  2. Add the IPQS Maven repository to your pom.xml file. You will need to add a parent tag if none exists:

  3. Update your dependencies by running:

    mvn dependency:resolve

     

     

Usage

The following example shows how you can use the Java database reader in your application to determine if an IP address is a proxy:

Note: Each database only holds either IPv4 or IPv6 data. Therefore, you may need two instances of the reader available depending on your use case.

 

Methods

Some of these methods may be unavailable depending on which database file you receive. If the method in question is unavailable in your database, the method will default to Java's default value for that type or false.

Method Type Description
record.isProxy() bool Is this IP address suspected to be a proxy? (SOCKS, Elite, Anonymous, VPN, Tor, etc.)
record.isVPN() bool Is this IP suspected of being a VPN connection? This can include data center ranges which can become active VPNs at any time. The "proxy" status will always be true when this value is true.
record.isTOR() bool Is this IP suspected of being a TOR connection? This can include previously active TOR nodes and exits which can become active TOR exits at any time. The "proxy" status will always be true when this value is true.
record.isCrawler() bool Is this IP associated with a confirmed crawler from any of the following search engines: Baidu, Google, Bing, Yahoo, Yandex, Sogou, Exabot, DuckDuckGo, Facebook, Twitter, Pinterest, Naver, UptimeRobot, AppleBot, ArchiveBot, CoccocBot, YisouBot, PetalBot, ByteDance, or MailRU.
record.isBot() bool Indicates if bots or non-human traffic has recently used this IP address to engage in automated fraudulent behavior. Provides stronger confidence that the IP address is suspicious.
record.hasRecentAbuse() bool This value will indicate if there has been any recently verified abuse across our network for this IP address. Abuse could be a confirmed chargeback, compromised device, fake app install, or similar malicious behavior within the past few days.
record.isBlacklisted() bool This value will indicate if the IP has been blocklisted by multiple third-party agencies for spam, abuse or fraud.
record.isPrivate() bool This value will indicate if the IP is a private, non-routable IP address.
record.isMobile() bool This value will indicate if the IP is likely owned by a mobile carrier.
record.hasOpenPorts() bool This value will indicate if the IP has recently had open (listening) ports.
record.isHostingProvider() bool This value will indicate if the IP is likely owned by a hosting provider or is leased to a hosting company.
record.isActiveVPN() bool Identifies active VPN connections used by popular VPN services and private VPN servers.
record.isActiveTOR() bool Identifies active TOR exits on the TOR network.
record.isPublicAccessPoint() bool Indicates if this IP is likely to be a public access point such as a coffee shop, college or library.
record.getConnectionType().getRaw() int

A numerical representation for the suspected type of connection for this IP address. It is generally recommended you call the toString() function listed below instead of using this value, but it is available as an option.

# Enum
1 Residential IP
2 Mobile IP
3 Corporate IP
4 Data Center IP
5 Educational IP
record.getConnectionType.toString() int

A string representation for the suspected type of connection for this IP address. (Residential, Mobile, Corporate, Data Center, Education or Unknown)

record.getAbuseVelocity().getRaw() int

How frequently the IP address is engaging in abuse across the IPQS threat network. Can be used in combination with the Fraud Score to identify bad behavior. It is generally recommended you call the toString() function listed below instead of using this value, but it is available as an option.

# Enum Description
0 No Recent Abuse
1 Low Recent Abuse IP
2 Medium Recent Abuse IP
3 High Recent Abuse IP
record.getAbuseVelocity().toString() int

How frequently the IP address is engaging in abuse across the IPQS threat network. Values can be "high", "medium", "low", or "none".

record.getCountry() string

Two character country code of IP address or "N/A" if unknown.

record.getCountryName() string

A full text representation of the country name. NOTE: Calling this function requires network access or a valid countrylist.raw updated within the last week. See Country List API for details.

record.getCity() string

City of IP address if available or "N/A" if unknown.

record.getISP() string

ISP if one is known. Otherwise "N/A".

record.getOrganization() string

Organization if one is known. Can be parent company or sub company of the listed ISP. Otherwise "N/A".

record.getASN() int

Autonomous System Number if one is known. Zero if nonexistent.

record.getTimezone() string

Timezone of IP address if available or "N/A" if unknown.

record.getLatitude() float32

Latitude of IP address if available or 0.00 if unknown.

record.getLongitude() float32

Longitude of IP address if available or 0.00 if unknown.

record.getFraudScore().forStrictness(int) int

Returns a fraud score for this IP address based on a strictness level. This method requires an int for the "strictness level" of the query and can be 0, 1 or 2. Some databases may contain 1 entry, others all 3. It is recommended that you use the lowest strictness for Fraud Scoring. Increasing this value will expand the tests we perform. Levels 2+ have a higher risk of false-positives.

Update

If you already have the Java database reader installed, you can update it by running:

mvn dependency:resolve

 

Ready to eliminate fraud?

Start fighting fraud now with 5,000 Free Lookups!

We're happy to answer any questions or concerns.

Chat with our fraud detection experts any day of the week.

Call us at: (800) 713-2618