Online fraud has evolved significantly over the last few years. Fraudsters no longer rely on a single IP address or a basic VPN to hide their identity. Today, sophisticated attackers use massive proxy networks to bypass security systems, automate abuse, create fake accounts, scrape websites, and commit payment fraud at scale.

Two of the most commonly used tools in this ecosystem are residential proxies and datacenter proxies.

If you work in fraud prevention, cybersecurity, fintech, ecommerce, or SaaS security, understanding the difference between these two proxy types is essential. More importantly, knowing how fraudsters use them can help you build better defenses.

In this article, we’ll break down:

• What residential and datacenter proxies are
• How they differ
• Why fraudsters use them
• Which one is harder to detect
• How businesses can identify proxy-based fraud using IP reputation intelligence

What Is a Proxy Server?

A proxy server acts as an intermediary between a user and the internet.

Instead of connecting directly to a website or API, the user routes traffic through another IP address. This helps hide the original IP address and location.

Proxies are widely used for legitimate purposes such as:

• Privacy protection
• Ad verification
• Market research
• Web scraping
• Testing geo-restricted content

However, they are also heavily abused in fraud operations.

Fraudsters use proxies to:

• Mask their identity
• Rotate IP addresses
• Avoid bans
• Circumvent rate limits
• Create fake accounts
• Bypass fraud detection systems

The two main categories are residential proxies and datacenter proxies.

What Are Residential Proxies?

Residential proxies use IP addresses assigned by Internet Service Providers (ISPs) to real households and devices.

These IP addresses belong to actual consumers using broadband or mobile internet connections.

When traffic comes through a residential proxy, it appears to websites as if it originated from a normal home user.

For example:

• A fraudster in another country may appear as a user browsing from New York
• A bot may appear as a normal mobile customer on a telecom network
• Automated traffic may blend in with legitimate users

Residential proxy networks are often built using:

• Peer-to-peer applications
• Browser extensions
• Mobile SDKs
• Compromised devices
• Paid proxy-sharing networks

Because the traffic looks legitimate, residential proxies are extremely effective for evading detection.

What Are Datacenter Proxies?

Datacenter proxies use IP addresses hosted in cloud environments or data centers instead of residential ISP networks.

These IPs usually originate from:

• AWS
• Google Cloud
• Azure
• OVH
• DigitalOcean
• Hetzner
• Other hosting providers

Datacenter proxies are faster, cheaper, and easier to scale compared to residential proxies.

They are commonly used for:

• Web scraping
• Automation
• SEO monitoring
• Bulk account creation
• Credential stuffing attacks

Unlike residential IPs, datacenter IPs are not tied to physical households or mobile subscribers.

This makes them easier to identify.

Residential Proxies vs Datacenter Proxies

Here’s a simple comparison:

Why Fraudsters Prefer Residential Proxies

Over the last few years, fraud operations have increasingly shifted toward residential proxies.

The reason is simple:
Residential traffic looks real.

Most fraud prevention systems heavily scrutinize:

• Hosting provider IPs
• Known VPN networks
• Cloud infrastructure

But residential IPs blend into normal consumer traffic.

This gives attackers several advantages.

1. Lower Detection Rates

A login attempt from a cloud server in another country is suspicious.

A login attempt from what appears to be a normal broadband user is much less suspicious.

Residential proxies help attackers bypass:

• CAPTCHA systems
• IP-based bans
• Device restrictions
• Velocity checks

2. Better Success in Account Farming

Many fake account operations depend on appearing like real users.

Social platforms, ecommerce sites, and fintech applications often block datacenter IPs quickly.

Residential proxies significantly improve:

• Signup success rates
• SMS verification success
• Ad account creation
• Marketplace fraud operations

3. Geo-Targeting Capabilities

Residential proxy providers allow users to select:

• Country
• City
• ISP
• Mobile carrier

This helps attackers mimic legitimate local traffic.

For example:

• A fraudster targeting UK banking users can appear as a local British ISP customer
• A sneaker bot can simulate thousands of local users during product drops

Why Datacenter Proxies Are Still Widely Used

Even though residential proxies are harder to detect, datacenter proxies remain extremely common.

That’s because they are:

• Cheap
• Fast
• Scalable
• Easy to automate

Large bot attacks often rely on datacenter proxies for:

• Credential stuffing
• Scraping
• Spam
• DDoS preparation
• Inventory hoarding

Attackers frequently rotate between thousands of cloud-hosted IPs.

Some operations use hybrid setups:

• Datacenter proxies for scale
• Residential proxies for bypassing security checks

Which Proxy Type Is Harder to Detect?

Residential proxies are significantly harder to detect.

Traditional fraud systems often rely on:

• Hosting ASN detection
• VPN databases
• Known proxy blacklists

Residential proxy networks bypass many of these methods because:

• The IPs belong to legitimate ISPs
• The traffic patterns resemble normal users
• The infrastructure changes constantly

Modern fraud detection therefore requires more advanced signals.

How Businesses Detect Proxy Fraud

Detecting proxy abuse today requires layered analysis rather than relying on simple blacklists.

Here are some of the most important signals.

1. IP Reputation Analysis

IP reputation systems analyze:

• Abuse history
• Spam activity
• Bot traffic
• Proxy usage
• Fraud associations

A high-risk reputation score often indicates suspicious behavior even if the IP looks residential.

2. ASN and Hosting Detection

Datacenter proxies are commonly associated with:

• Cloud providers
• Hosting ASNs
• VPS infrastructure

Identifying hosting providers helps detect automated traffic quickly.

3. Behavioral Analysis

Fraud detection systems monitor:

• Mouse movement
• Session timing
• Login velocity
• Device switching
• Request frequency

Even if the IP looks legitimate, abnormal behavior patterns can expose automation.

4. Device Fingerprinting

Many fraud systems combine IP analysis with:

• Browser fingerprinting
• Device IDs
• Operating system data
• Sensor data

This helps identify users rotating through multiple IPs.

5. VPN and Proxy Intelligence

Modern IP intelligence APIs can identify:

• VPN usage
• Tor exit nodes
• Open proxies
• Hosting providers
• Residential proxy patterns

These signals improve fraud scoring significantly.

The Growing Problem of Residential Proxy Abuse

Residential proxy abuse has become a major concern across industries.

Affected sectors include:

• Ecommerce
• Banking
• Travel
• Gaming
• Social media
• Ticketing platforms
• Crypto exchanges

Some common fraud scenarios include:

Common Fraud Scenarios	Description
Fake Account Creation	Attackers rotate residential IPs to create thousands of accounts without triggering detection systems.
Sneaker and Ticket Bots	Bots use residential IPs to bypass rate limits and purchase limited inventory.
Ad Fraud	Fraudsters simulate real users clicking ads through residential networks.
Credential Stuffing	Attackers test stolen passwords using rotating proxy networks to avoid bans.

Best Practices for Preventing Proxy-Based Fraud

As a best practice Businesses should avoid relying on a single signal. Instead, use layered fraud prevention approaches.

Recommended Security Measures

Fraud Prevention Security Measure	Description
Use IP Reputation APIs	Analyze risk signals in real time.
Detect Hosting Providers	Flag suspicious cloud infrastructure traffic.
Monitor Velocity	Detect rapid account creation or login attempts.
Combine Device Intelligence	Correlate IP behavior with browser and device fingerprints.
Use Risk Scoring	Avoid outright blocking users unless multiple signals indicate fraud.
Monitor Behavioral Anomalies	Look for automation patterns instead of relying only on IP data.

Final Thoughts

Residential proxies and datacenter proxies are both heavily used in online fraud, but the landscape is shifting rapidly.

Datacenter proxies remain popular for large-scale automation because they are cheap and fast. However, residential proxies have become the preferred option for sophisticated fraud operations because they blend in with legitimate user traffic.

For businesses, this means traditional IP blacklists are no longer enough.

Modern fraud prevention requires:

• IP reputation intelligence
• Behavioral analysis
• Device fingerprinting
• Proxy detection
• Real-time risk scoring

As attackers continue to evolve, organizations need smarter ways to identify suspicious traffic without blocking legitimate users.

Platforms like Antideo help businesses detect:

• Proxy usage
• VPN traffic
• Hosting providers
• Tor nodes
• High-risk IP addresses

allowing fraud teams to make more accurate risk decisions in real time.

Frequently Asked Questions