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Glossary

Residential IP

An IP address assigned by an Internet Service Provider to a home or mobile user, generally considered more trustworthy than datacenter IPs but increasingly exploited through residential proxy networks.

What Is a Residential IP?

A residential IP is an IP address assigned by an Internet Service Provider (ISP) to a home broadband or mobile subscriber. These addresses are tied to real physical locations and registered under ISP-owned Autonomous System Numbers (ASNs). When you connect to the internet from your home Wi-Fi or mobile data plan, your device uses a residential IP. This is the most common type of IP address on the internet, and it is the type that websites and online services encounter most frequently from legitimate human visitors.

Residential IPs vs. Datacenter IPs

The distinction between residential and datacenter IPs is fundamental to IP intelligence. The key differences include:

  • ASN classification: Residential IPs belong to ASNs registered by ISPs (e.g., Comcast, Vodafone, AT&T), while datacenter IPs belong to hosting companies like AWS, DigitalOcean, or Hetzner.
  • Allocation: ISPs assign residential IPs dynamically to individual subscribers, often rotating them periodically. Datacenter IPs are allocated in bulk subnets to organizations.
  • Trust level: Security systems generally treat residential IPs with higher trust because they are overwhelmingly associated with real human users. Datacenter IPs raise suspicion because legitimate consumers rarely browse the web from a server rack.
  • Volume: A single residential IP typically generates modest traffic from one household. Datacenter IPs frequently produce high volumes of automated requests.

For a deeper comparison, see our blog post on datacenter IPs vs. residential IPs.

Why Residential IPs Are Trusted

Most security systems and anti-fraud platforms start from the assumption that a residential IP represents a genuine user. This trust exists for good reason: the vast majority of residential IP traffic is legitimate. Residential IPs pass CAPTCHA challenges less frequently, face fewer blocks from rate limiting systems, and receive higher IP reputation scores by default. E-commerce platforms, banks, and social networks all rely on IP classification as one of their first signals for evaluating risk.

The Residential Proxy Problem

The inherent trust placed in residential IPs has created an entire industry built around exploiting it. Residential proxy networks recruit millions of real devices, often through SDKs embedded in free mobile apps, browser extensions, or VPN applications. Users may unknowingly opt in to having their device serve as a relay node. Providers then sell access to these IPs through backconnect proxy gateways, allowing customers to route traffic through genuine residential connections in virtually any country. The result is that malicious traffic arrives at your platform looking indistinguishable from a real user on a home connection.

How Residential IPs Are Exploited

Attackers use residential IPs to bypass traditional defenses across a wide range of abuse scenarios:

  • Credential stuffing: Rotating through residential IPs avoids IP-based rate limits and blocklists, allowing attackers to test stolen credentials at scale. Read more in our analysis of the anatomy of a credential stuffing attack.
  • Multi-accounting: Fraudsters create dozens of accounts that each appear to originate from different households, defeating IP-based duplicate detection.
  • Ad fraud: Click fraud operations generate fake impressions and clicks from residential IPs to make the traffic appear human and organic.
  • Web scraping: Scrapers route requests through residential pools to avoid detection, harvesting pricing data, content, or user information at scale.

Detection Challenges

Identifying abused residential IPs is one of the hardest problems in online security. Unlike datacenter IPs, you cannot simply block entire residential ASN ranges without cutting off real customers. The same IP address that a fraudster uses through a proxy network at 10 AM might belong to a legitimate shopper at 2 PM. Static blocklists are ineffective because residential IPs rotate frequently, as explained in our post on why static IP blocklists are failing.

Identifying Abused Residential IPs

Effective detection requires a layered approach that goes beyond simple IP classification:

  • Known proxy network detection: Maintaining intelligence on which residential IPs are currently enrolled in proxy networks through active probing and data partnerships.
  • Behavioral analysis: Flagging residential IPs that exhibit non-human patterns such as impossibly fast request rates, geographic inconsistencies, or connections from IPs with no browsing history.
  • IP reputation scoring: Combining connection-type classification with historical abuse data to assign dynamic risk scores.
  • Device fingerprinting: Layering browser and device signals on top of IP intelligence to catch proxy users whose fingerprints betray automation.

AntiProxies provides real-time residential proxy detection across millions of IPs, identifying devices enrolled in known proxy networks even when the underlying IP appears clean on a standard ASN check. Explore our residential proxy glossary entry to learn more about how these networks operate, or visit our threat detection page for the full set of signals available.

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