Current Ad Fraud Rate
The share of global ad impressions flagged as invalid traffic (IVT) over the past 24 hours, measured by the Fraudlogix sensor network. This page updates every day.
Last updated: August 25, 2026, 1:30 AM EDT · Refreshes daily
For reference: the full-year 2025 average was 20.64%. Long-term benchmarks live in the Fraudlogix ad fraud statistics hub.
Today's Ad Fraud Rate by Device
Over the past 24 hours, 19.58% of ad impressions worldwide showed signals of fraudulent or non-human activity. Here is how that breaks down by device type and in the US market.
Highest & Lowest Fraud Markets — Past 24 Hours
Top 20 highest and lowest IVT rates among countries with meaningful volume in the past 24 hours.
Highest IVT Rates Today
Lowest IVT Rates Today
A 24-hour window moves more than a quarterly average — a single large bot campaign can shift a day's rate noticeably. For trend analysis, use the quarterly and annual reports; use this page for the current state of the ecosystem.
Today's Ad Fraud Rate by Browser
Invalid traffic rates across major consumer browsers over the past 24 hours. Self-declared bots and crawlers are excluded.
| Browser | IVT Rate (Past 24h) |
|---|---|
| OS vendor Webview | 20.36% |
| Google Chrome | 19.59% |
| Apple Safari | 14.64% |
| Microsoft Edge | 21.15% |
| Mozilla Firefox | 17.32% |
| Opera | 18.87% |
| Yandex | 39.95% |
| Microsoft Internet | 10.18% |
Today's Ad Fraud Rate by Operating System
Invalid traffic rates by OS and version over the past 24 hours. Newer OS versions consistently carry cleaner traffic; legacy Android remains the highest-risk segment.
| Operating System | IVT Rate (Past 24h) |
|---|---|
| Android 16 | 13.32% |
| iPhone 18.7 | 23.68% |
| Android 10 | 18.14% |
| Windows 10 NT 10.0 | 24.46% |
| Android 15 | 20.63% |
| Android 14 | 23.58% |
| Mac OSX 10.15.7 | 10.28% |
| Windows 11 pv 19.0.0 | 14.95% |
| Android 13 | 21.13% |
| iPhone 26.6 | 14.96% |
| Android 12 | 24.94% |
| Android 11 | 28.00% |
| Windows 10 pv 10.0.0 | 15.61% |
| iPhone 26.6.0 | 18.45% |
| iPad 18.7 | 7.33% |
Version-level rates on a 24-hour window can swing with individual bot campaigns. Persistent patterns — such as elevated rates on legacy Android — are more meaningful than any single day's reading.
Today's Ad Fraud Rate by ISP
Invalid traffic rates across major residential ISPs over the past 24 hours. Consumer internet providers consistently carry the cleanest ad traffic in the Fraudlogix sample — the rates below show where IVT is lowest today.
Cleanest Residential ISPs — Past 24 Hours
| ISP | IVT Rate (Past 24h) |
|---|---|
| T-Mobile Home Internet | 0.00% |
| Free SAS | 0.00% |
| Telmex | 0.00% |
| Vodafone UK | 0.00% |
| iCloud Private Relay | 0.00% |
| Sky Broadband | 0.04% |
| Ziggo | 0.12% |
| O2 Deutschland | 0.12% |
| Bouygues Telecom | 0.13% |
| KPN | 0.15% |
Rates reflect impressions from each network within Fraudlogix's ad impression monitoring — not general internet traffic.
About This Data
These figures are generated daily from the Fraudlogix global sensor network, which monitors over 1 billion unique devices per month — roughly one quarter of the world's internet population — across 300M+ URLs. Traffic is classified as valid or invalid (IVT) using signals including IP reputation, bot signatures, cloud and proxy infrastructure, device spoofing, and behavioral anomalies.
We monitor ad fraud across 200 countries,
in real time.
One of the largest ad-fraud detection sensor networks on the internet — spanning roughly 300 million URLs and monitoring about 25% of the world's internet population, everywhere traffic flows.
Tell bots from humans and clean up the internet economy — so advertisers only pay for what's real.
Frequently Asked Questions
What is the current ad fraud rate?
As of August 25, 2026, 1:30 AM EDT, 19.58% of global ad impressions were flagged as invalid traffic over the past 24 hours.
How often is this updated?
Daily, covering the most recent 24-hour window. For longer-term trends, see the quarterly and annual reports.
How is invalid traffic measured?
Impressions are classified using IP reputation, bot signatures, cloud and proxy infrastructure detection, device spoofing signals, and behavioral anomalies. Unfamiliar terms are defined in the ad fraud glossary.
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