Advanced IP Intelligence & Risk Analyzer

Geolocation, threat scoring, and network context for any IP address.

IP Intelligence runs a full passive investigation on any IPv4 or IPv6 address. It pulls geolocation data, ISP and ASN details, reverse DNS records, RDAP registration data, and threat intelligence from AbuseIPDB and Shodan InternetDB in one lookup.

IP Address Intelligence

How to Use

Work through these steps in order. Use this tool for educational and ethical purposes only.

1 Open the Recosint plugin and select IP Intelligence from the tool menu.
2 Enter the target IPv4 or IPv6 address into the input field.
3 Click Run Analysis. The tool queries geolocation, reverse DNS, RDAP, AbuseIPDB, and Shodan simultaneously.
4 Review the Leaflet map showing the IP’s physical location.
5 Check the Threat Intelligence panel for the AbuseIPDB confidence score, total abuse reports, and usage type classification.
6 Review the Shodan InternetDB panel for open ports, known CVEs, and associated hostnames.
7 Use the RDAP section to verify network registration details, CIDR block, and the responsible abuse contact.
8 Use the Risk Score to decide whether the IP needs further investigation or should be blocked.

How IP Addresses Work

Every internet-connected device gets an IP address, a numerical label identifying the device and its network location. Understanding how addresses are assigned helps you interpret the data this tool returns.

Allocation: IANA manages the global IP address pool and distributes blocks to five Regional Internet Registries (RIRs): ARIN (North America), RIPE NCC (Europe/Middle East), APNIC (Asia-Pacific), LACNIC (Latin America), and AFRINIC (Africa). RIRs allocate smaller blocks to ISPs and organizations, who assign individual addresses to their customers. When the tool shows Organization: HOSTINGER DE and ASN: AS47583, it is reading the registration record that RIPE NCC holds for that block.

Routing: Autonomous systems exchange routing information via BGP (Border Gateway Protocol). Geolocation databases map IP ranges to physical locations by combining RIR registration data, BGP announcements, and active probing. That is how the tool can display Frankfurt am Main, Hesse, 60313 alongside coordinates 50.1169, 8.6837 without accessing the device itself.

NAT and CGNAT: Most residential and mobile users share a public IP through Network Address Translation. Carriers extend this further with Carrier-Grade NAT (CGNAT), where thousands of subscribers share one public address. An IP in your logs may represent one device or an entire apartment block. The Usage Type field helps you set the right expectation before drawing conclusions.

IP Intelligence Myths Worth Correcting

Myth 1: An IP gives you an exact location. It does not. IP geolocation provides city-level approximation. Data center IPs often resolve close to the actual server because hosting providers register precise ranges with the RIR. Residential IPs, however, frequently resolve to the ISP’s regional exchange, not the subscriber’s address. Treating a map pin as a street address has caused documented real-world harm.

Myth 2: An IP identifies a person. It identifies a network endpoint. NAT, CGNAT, VPNs, Tor exit nodes, and proxies mean the device behind an IP can change by the hour. A Data Center / Hosting usage type strongly suggests traffic does not originate from a single person at all. Attribution to an individual requires a subpoena to the ISP plus corroborating evidence.

Myth 3: A blacklisted IP means the source is malicious. Blacklists are imprecise. Cloud and hosting IPs rotate frequently between legitimate workloads and abusive ones. An IP that sent spam six months ago may now serve a legitimate application. The tool’s risk labels reflect infrastructure type and behavioral patterns, not intent. Use them as signals to investigate further.

How Analysts Use IP Intelligence

Fraud Detection: Payment processors use Usage Type as a first-pass fraud signal. A checkout from a Data Center / Hosting IP is statistically more likely to be automated or anonymized than one from a Residential ISP. Risk teams combine usage type with velocity checks and behavioral signals to build scoring models.

Incident Response: During a security incident, knowing a C2 callback originates from AS47583 Hostinger International Limited in Frankfurt tells a SOC analyst exactly which provider to contact for abuse reporting and takedown requests. IP intelligence narrows the search space and feeds into correlation with threat intel feeds, domain registrations, and passive DNS.

Threat Modeling: If server logs show consistent inbound connections from data center ASNs with no legitimate business justification, that pattern warrants investigation. Mapping ASNs against geolocation data helps identify whether activity clusters around a specific country or provider, a useful input for firewall policy and access controls.

Journalism and OSINT: Journalists use IP intelligence to verify whether a site’s claimed location matches its actual hosting infrastructure. A local news outlet hosted on a server registered abroad raises questions worth pursuing. Country, City, Organization, and ASN in a single view accelerates that verification step.

Bug Bounty and Pentesting: Within scope, the ASN block identifies which IP ranges belong to the target organization versus third-party infrastructure like CDNs or cloud providers. This prevents wasted effort on out-of-scope IPs and confirms findings map to the right organization.

Technical Details & Use Cases

IP Intelligence builds a threat profile from passive sources only, without touching the target system.

Geolocation data covers country, region, city, latitude and longitude, ISP name, organization, and ASN. Reverse DNS resolves PTR records to surface hostnames tied to the address. RDAP queries the authoritative registry (ARIN, RIPE, or APNIC) and returns network name, CIDR block, registration dates, and abuse contact.

AbuseIPDB (API key required) returns a confidence score built from community abuse reports, the total report count, and last reported date. Shodan InternetDB (no key needed) adds open ports, CVE references, and hostname associations from passive scan data.

The Risk Score combines ISP type, abuse confidence, open port count, and CVE presence into a weighted indicator. Security teams can use this for fast triage without running an active scan.

Typical use cases: investigating suspicious login attempts, vetting third-party service IPs, triaging firewall alerts, and incident response workflows.

Pros & Cons

ProsCons
Combines six data sources into one report without any active scanning Geolocation accuracy drops sharply for VPN and proxy addresses
Shodan InternetDB surfaces real CVE references and open ports at no cost AbuseIPDB confidence score requires a free API key to activate
Weighted Risk Score gives analysts a fast triage indicator on first glance Shodan InternetDB reflects passive scan history, not current port state

Related Network Intelligence Tools

Frequently Asked Questions

The IP block is registered to a hosting provider, cloud platform, or colocation facility rather than a residential or mobile ISP. Traffic likely originates from a server, virtual machine, or automated process. Security teams treat these IPs with elevated scrutiny because bots, VPN exit nodes, and scrapers commonly use hosting infrastructure to mask their origin.

No. IP geolocation resolves to a city or region tied to the ISP’s infrastructure, not a physical address. Residential accuracy typically falls within a 25-100 km radius. Pinpointing a street address requires a court-ordered subpoena to the ISP, which links the IP to an account holder (not a location) for a specific time window.

An ASN (Autonomous System Number) is a unique identifier assigned to a network that manages its own routing policy. Each ISP, hosting provider, or large enterprise receives one from a Regional Internet Registry. AS47583, for example, belongs to Hostinger International Limited. Analysts use ASNs to identify all IP ranges controlled by a specific organization and to route abuse reports correctly.

For usage type and country-level signals, yes. The Usage Type field is highly reliable and forms the backbone of most IP-based fraud scoring. Country-level accuracy exceeds 99% in commercial databases. City-level accuracy runs between 60-80% depending on the ISP and region. IP intelligence works best as one signal among many, alongside device fingerprinting, behavioral analytics, and transaction history.

A domain name maps to one or more IP addresses via DNS. When you enter a domain (e.g., recosint.com), the tool performs a DNS A-record lookup to resolve it to its current IP, then runs the full analysis against that IP. The result reflects the actual hosting infrastructure behind the domain, regardless of what the site claims about its location.

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