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Why Mobile Proxy IPs Get Burned:
The CGNAT and Shared-IP Reality
CGNAT is the reason mobile proxies are hard to ban outright. It's also the reason a stranger's bad session can quietly wreck yours. Here's the actual mechanism, with the data behind it.
- The protection and the risk come from the same mechanism. Cloudflare's own detection research found CGNAT IPs get rate-limited about 3x more often than non-CGNAT IPs, even though their bot-traffic rates are statistically about the same (Cloudflare, Oct 29, 2025).
- A single carrier IP can carry hundreds or even thousands of subscribers at once, not a fixed handful, according to the data Cloudflare used to train its CGNAT classifier.
- The "512 to 2,000 ports per subscriber" figure people cite isn't an RFC requirement. RFC 6888 only requires that a CGN device be capable of limiting ports per subscriber; the actual number is a vendor default, not a spec.
- "Burned" and "banned" aren't the same thing. Most CGNAT damage shows up as soft signals, like CAPTCHA spikes or shrinking reach, well before a hard IP block.
- Rotation and pool hygiene measurably help. 2025 independent benchmarking put mobile proxy network success rates at a 99.61% median across providers tested, which is what well-run infrastructure buys you against a structurally shared risk (Proxyway, 2025).
Every mobile proxy pitch leans on the same idea: your traffic rides a real carrier IP alongside real subscribers, so platforms can't block it without collateral damage to actual paying customers. That's a genuine mechanism, not marketing fiction, and it's the same one we covered in detail in our mobile vs. ISP proxies comparison. What that framing usually leaves out is the other half of the trade: the exact thing that makes mobile IPs hard to block outright is what makes them hard to protect individually.
You don't control who else is sharing your carrier IP at any given moment, and you have no way to see their behavior. If one of those subscribers, or one of the thousands of other proxy users a provider is rotating through the same pool, does something that trips a rate limit or a bot-detection threshold, the consequence often lands on the IP as a whole. This is what "getting burned" actually means for a mobile proxy: not a personal ban, but inherited suspicion from a pool you can't see into.
What CGNAT Actually Is, Precisely
CGNAT operates one layer above the NAT most people already know from their home router. A home router maps one public IP to every device on your Wi-Fi. CGNAT does the same thing at carrier scale, mapping one public IP to potentially hundreds of unrelated subscribers' devices across a whole tower or region. The IETF also reserves a dedicated address block, 100.64.0.0/10, specifically for the link between a carrier's NAT and subscriber equipment, separate from ordinary private network space (IETF, RFC 6598, April 2012).
RFC 6888 requires that a CGN device be able to cap how many external ports each subscriber gets, but it deliberately doesn't mandate a specific number, leaving that to the operator's configuration. A commonly cited range in vendor documentation is roughly 512 to 2,000 ports per subscriber, but that's an implementation default, not a spec requirement. Worth doing the math on anyway: a public IPv4 address has 65,535 total ports, and after excluding the reserved 0 to 1023 range, about 64,512 are usable. Divide that by a 2,000-port block and you get roughly 32 subscribers if a carrier allocated fixed, simultaneous blocks. Real deployments don't work that way. Carriers allocate ports dynamically and on demand, which is exactly why Cloudflare's research describes "a single IPv4 address" as capable of representing "hundreds or even thousands of users" over time, not a fixed 32 (Cloudflare, "One IP address, many users," Oct 29, 2025).
Why Platforms Hesitate to Hard-Block a Shared IP
A platform that hard-bans a CGNAT IP risks locking out every real, paying subscriber currently mapped to it, which is a much bigger cost than blocking one datacenter IP that belongs to nobody real. That asymmetry is the entire basis of mobile proxy ban resistance, and it's genuinely effective against outright IP bans. It's a different story once you look at softer enforcement, which is where most of the actual friction lives. We go deeper on how detection vendors score sessions in general in our breakdown of what Cloudflare, DataDome, and Akamai actually check; the short version for CGNAT specifically is that avoiding a hard ban doesn't mean avoiding friction.
Cloudflare's classifier work is useful here because it's a rare case of a major detection vendor publishing its own numbers instead of leaving it to vendor blogs to describe. Rather than treat every shared-looking IP the same, Cloudflare built a model (trained on more than 200,000 labeled CGNAT IPs alongside roughly 180,000 VPN and proxy IPs and about 900,000 non-shared IPs, reaching 0.98 accuracy) specifically to identify which IPs are genuinely CGNAT so it can apply different rules to them (Cloudflare, Oct 29, 2025). That's a platform actively trying to avoid collateral damage. And even with that effort, the data below shows CGNAT IPs still come out worse off on rate limiting than the underlying bot activity would justify.
How One Bad Subscriber Burns Everyone Else
The mechanism is simple: most rate-limiting and reputation systems still score primarily at the IP layer, at least as a first pass, before session or device-level signals get a chance to separate one subscriber's behavior from another's on the same address. When a scraper, a credential-stuffing bot, or just an unusually aggressive automated session shares your carrier IP, the volume and pattern of that traffic gets attributed to the IP as a whole. Your unrelated, well-behaved session is judged against a baseline that a stranger just wrecked.
This is the exact pattern Cloudflare's research surfaces. CGNAT IPs and non-CGNAT IPs showed nearly identical bot-traffic rates: a 4.8% median for CGNAT versus 4.7% for non-CGNAT, and CGNAT actually ran lower on the mean (7.0% versus 13.1%). Despite that, CGNAT IPs were rate-limited roughly three times as often (Cloudflare, Oct 29, 2025). The IPs weren't dirtier. They were punished more anyway, because the rate-limiting logic reacts to combined traffic volume across everyone on the address, not to any individual subscriber's behavior.
Sticky Sessions vs. Full Rotation: How Session Mode Changes Your Exposure
How long you hold a given carrier IP directly changes how much pooled risk you're exposed to. Mobile proxy sessions are typically either sticky, meaning you keep one IP for a set window (commonly 10 to 30 minutes), or fully rotating, meaning you get a new IP from the pool on every request. Neither mode is strictly safer; they trade different kinds of risk, a distinction we cover in more general terms in our static vs. rotating proxies guide.
A sticky session concentrates your traffic on one carrier IP for the full window. If another subscriber on that same IP does something disruptive partway through your session, you inherit whatever reputation damage happens for the remainder of your window, with no way to detect it until your own requests start failing. Full rotation shortens that exposure window per IP, but it introduces a different problem: platforms that fingerprint session continuity can flag an identity that jumps IP on every request as suspicious in its own right, which is a separate detection path from CGNAT-specific rate limiting.
Symptoms You've Been Burned, Not Banned
A hard IP ban is easy to notice: requests fail outright. Getting burned on a shared CGNAT IP is usually quieter, showing up as degraded treatment rather than a flat block. Knowing the difference matters because the fix isn't the same.
| Signal | What It Looks Like | Likely Cause |
|---|---|---|
| CAPTCHA spikes | Challenges appear more often than they did last week, with no change in your own behavior | Soft Pooled traffic on your current IP crossed a risk threshold |
| Reduced reach or visibility | Content posts, searches, or actions succeed but appear to have less effect than expected | Soft Shadow-style deprioritization tied to IP reputation, not a request failure |
| Slow success-rate decay | Success rate drifts down over hours or days rather than dropping suddenly | Soft Gradual reputation erosion on a heavily used or aging pool IP |
| Hard IP block | Requests fail immediately and consistently from that specific IP | Hard The IP itself has been blocklisted, whether by your traffic or a poolmate's |
What Actually Reduces Burn Risk on Mobile
None of this makes mobile proxies a bad choice for the workloads they're genuinely built for, like anything that fingerprints at the carrier or device layer. It does mean "mobile equals safe" is the wrong mental model. What helps in practice:
- Rotate on soft signals, not hard failures. Waiting for a hard block means you've already absorbed the worst of the damage.
- Prefer providers who manage pool freshness actively rather than leaving IPs in rotation indefinitely regardless of how much reputation damage they've accumulated.
- Treat mobile IP access as consumable, not permanent infrastructure. The pooled nature of CGNAT means any given IP's clean status is temporary by design, not a guarantee.
- Monitor your own success rate as a leading indicator, since a slow decay (see the table above) is detectable well before a hard block.
Rotation infrastructure genuinely matters here, and independent testing backs that up. Proxyway's 2025 benchmarking of mobile proxy networks found a 99.61% median success rate across the providers tested, with the top performer, Oxylabs, reaching 99.94% (Proxyway, "Proxy Market Research 2025", data collected Feb to Apr 2025). Well-run pool management doesn't remove pooled risk, but it clearly manages it.
When Shared Risk Isn't Worth It
If your workload specifically needs carrier or app-layer legitimacy, like automation on platforms that fingerprint at the device and network layer directly, mobile's pooled protection is still the right tool despite the pooled risk that comes with it. But a meaningful share of mobile proxy traffic doesn't actually need that. Account management, ad verification, and SEO tracking, for example, generally reward a stable, dedicated identity more than a rotating shared one, which is exactly the territory ISP static proxies are built for. We cover that full decision framework in our mobile vs. ISP proxies guide, and the ASN-level reputation mechanics that affect both proxy types in our IP reputation and ASN scoring breakdown.
TorchProxies runs residential and ISP proxy plans today; mobile is on our roadmap but not live yet. If your use case is genuinely mobile-only, factor that into how you evaluate providers generally. If it isn't, a dedicated ISP static IP sidesteps the entire pooled-reputation problem, because there's no pool to be burned by in the first place.