Do Proxy Providers Share the Same Datacenter Subnets and ASNs?

When buying proxies, most users compare speed, locations, pricing, bandwidth, and success rates. However, fewer people ask where the IPs actually come from.

That matters because two different providers can sometimes sell access to IPs from the same network range. If that range already has a poor reputation, your results can suffer even if your own activity is clean.

In this article, we’ll explain what subnets and ASNs are, why sharing happens, why it matters, and what reliable providers do to reduce the risk.

What Subnets and ASNs Actually Are

A subnet is a smaller section of a larger IP network. In plain language, it’s a group of IP addresses that share the same routing prefix. You’ll often see this written in CIDR notation, such as:

192.0.2.0/24

The /24 indicates the block’s size.

An ASN, or Autonomous System Number, identifies a network operated by an organization such as an ISP, hosting company, or cloud provider. Anti-bot systems care about ASNs because they show where traffic comes from at the network level, not just at the individual IP level.

Together, subnets and ASNs help websites group “trust.” One clean IP may still reside in a risky subnet or ASN.

This isn’t just a technical detail. It’s often the layer where bans, reputation, CAPTCHA prompts, and access limits actually live.

Do Different Proxy Providers Share the Same Subnets?

Yes, different providers often share the same subnets, especially with datacenter proxies.

This surprises buyers who assume every proxy provider has fully isolated infrastructure. In reality, many providers rely on the same upstream hosting networks, IP leasing markets, or reseller chains.

The overlap is more common than marketing pages suggest. The issue of proxy providers shared subnets may not be visible in a dashboard, but it can affect real-world performance.

Why Subnet Sharing Happens Across Proxy Providers

Many providers source datacenter IPs from the same hyperscalers and hosting companies, including AWS, GCP, Azure, OVH, and Hetzner. This means different brands can hold IPs from the same announced ranges.

Common reasons include:

• Limited IP availability in specific countries or cities
• Cost pressure pushing providers toward shared hosting infrastructure
• ISP-level consolidation
• Reseller relationships passing the same pools through multiple brands
• High demand for the same popular locations

This is more noticeable in less common locations where only a few datacenters operate. If there are fewer networks available, providers have fewer sourcing options.

A similar dynamic can appear with ISP proxies, though usually to a lesser degree. Residential and mobile pools follow different sourcing patterns, but ASN-level overlap can still happen.

Why Subnet Sharing Matters for Your Workflow

Modern anti-bot systems often block at the subnet or ASN level rather than only blocking one proxy server. That means one flagged neighbor can damage a wider range.

Practical impacts include:

• Entire ranges getting banned
• Websites flagging all proxies from a specific ASN
• Reputation damage spreading across clients
• Sudden access loss with no warning
• Higher CAPTCHA rates across a proxy pool

This often appears when buyers switch providers but see the same blocks. The dashboard, price, and support change, but the underlying IPs may still come from nearby ranges.

That’s why subnet overlap is one of the most underappreciated risks in proxy acquisition, especially for web scraping, monitoring, QA testing, and account workflows.

The “Bad Neighbor” Effect Across Providers

Subnet reputation is not tied to a single company’s clients. It is tied to everyone who uses or announces IPs in that range.

An abusive user from one service can harm paying clients who use another if both services rely on the same subnet. This is the cross-provider version of the bad neighbor problem.

It also means changing your proxy provider alone may not fix these issues. If the new service provides IP addresses from the same range, the target website may treat your traffic the same way.

Shared proxies are commonly used for web scraping and data collection, allowing users to gather public web data from various sources while distributing requests to maintain uptime and reduce CAPTCHA triggers.

The performance of shared proxies is influenced by the number of concurrent users sharing the same IP address, which can lead to variability in speed and reliability.

Shared proxies can experience significant performance drops during high-traffic periods, with speeds potentially decreasing by 50-80% as users compete for bandwidth.

Multi-tenant usage means that multiple unrelated users are assigned IPs from the same pool or range.

Which Proxy Types Are Most Affected by Subnet Overlap

Different proxy types carry different levels of subnet risk. The right choice depends on your target, volume, location needs, and tolerance for blocks.

Datacenter Proxies

These proxies are the most exposed because cloud and hosting IP ranges are well-documented and easier to classify. They are fast, affordable, and useful for many tasks, but websites can often identify their origin.

Shared proxies are IP addresses used concurrently by multiple users, which lowers the per-IP price and allows for flexible infrastructure scaling, while dedicated proxies provide exclusive access to a single user, ensuring better control and performance.

If you need stable sessions and predictable performance, dedicated proxies can still work well. However, subnet diversity matters just as much as the number of IPs in your plan.

ISP Proxies

ISP proxies are less exposed than cloud-hosted IPs, but supply is still limited. Since ISP IP space is harder to source, some providers may rely on similar upstream relationships.

They are often a good middle ground between speed, trust, and stability.

Residential Proxies

Residential proxies are usually less affected at the subnet level because they come from real consumer networks across many locations. Still, ASN-level overlap can happen when pools are sourced through similar apps, SDKs, or partners.

These proxies are useful when normal-looking traffic matters more than raw speed.

Mobile Proxies

Mobile proxies are generally the least exposed. Carrier networks, CGNAT, and constantly changing user traffic make it significantly more challenging to group requests into a small subnet.

Rule of thumb: if subnet purity matters most, mobile and residential options are usually safer, ISP proxies are the middle ground, and datacenter options need the most testing.

How High-Quality Providers Minimize Subnet Overlap

While providers cannot remove every overlap, they can manage it much better than basic resellers.

Top providers usually focus on:

• Proactive subnet diversity sourcing
• Lower subnet reuse frequency
• Monitoring block rates at the subnet level
• Rotating away from flagged ranges
• Limiting clients per subnet
• Vetting risky use cases
• Faster replacement of compromised ranges
• Better hygiene across the proxy network

Transparency matters here. An enterprise-grade provider should be able to discuss subnet count, ASN diversity, refresh policies, and what happens when a range’s reputation degrades.

IP management discipline matters more than raw pool size. A smaller, cleaner, better-managed pool can outperform a large pool with poor reputation control.

How to Check Whether Your Proxies Share Subnets With Others

You don’t have to guess. Test a sample before scaling.

Use this checklist:

• Run test IPs through ASN lookup tools
• Check CIDR ranges for overlap
• Compare /24, /20, and larger blocks
• Compare block patterns across providers on the same targets
• Ask providers about subnet diversity policies
• Test shared proxies and dedicated proxies separately
• Track success rates by subnet, not only by IP

If multiple providers show IPs in the same /24, that is a strong overlap signal. It doesn’t always mean the IPs are bad, but it means they share risk.

Free trials are useful because they let you sample a proxy pool before committing. Even a small test can reveal whether shared proxy providers rely on the same upstream networks.

What to Ask Before Buying

Transparent providers should be able to answer practical questions about their infrastructure.

Ask:

• How many subnets are in your pool?
• How many ASNs do you use in my target locations?
• How often are subnets rotated or refreshed?
• Do you monitor subnet-level block rates?
• What happens when a subnet gets compromised?
• Can I get IPs from a specific ASN?
• Can you exclude heavily shared ranges?
• Do you offer upgrade paths to dedicated subnets?
• How are dedicated proxies separated from shared proxies?

Providers that can’t or won’t answer these questions pose a higher risk. They may still work for simple browsing, but they are less reliable for large-scale web scraping, account activity, or long-term reputation-sensitive workflows.

Upgrade paths matter too. As your project grows, moving from shared proxies to dedicated proxies, private proxies, or cleaner subnet allocations can stabilize performance. This is especially important for data collection, social media automation, unlimited bandwidth plans, rotating proxies, or workflows that need to bypass geo restrictions consistently.

Conclusion

Different providers can and often do share datacenter subnets and ASNs. This happens because IP space is limited, many providers source from the same infrastructure companies, and reseller relationships can pass through similar ranges under different brands.

For buyers, the key lesson is simple: don’t judge proxies only by price, location count, or advertised pool size. Look at subnet diversity , ASN spread, rotation policy, and how the provider handles burned ranges.

Shared infrastructure is not automatically a red flag. However, unmanaged overlap can cause repeated blocks, poor reputation, and confusing results when switching providers. The best protection is testing, asking direct questions, and choosing providers that manage their IP space carefully.

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