According to Pixalate’s latest research, the app “Pick Me Up 3D: Taxi Game” with App ID (1492626683) had the highest Made-for-Advertising (MFA) traffic on the Apple App Store, as measured by Pixalate. “Fashion Beauty Catwalk” with App ID (com.md.fashion.beauty.catwalk) was at the top for MFA on Google Play Store

LONDON, June 2, 2026 -- Pixalate, an ad fraud and privacy compliance platform, today released the May 2026 Made-For-Advertising Mobile Apps Reports for Apple App Store & Google Play Store, based on its AdFraud Indicators Of Compromise-Database.

The reports surface mobile apps that are associated with Made-for-Advertising fraud, such as unusually high ad refresh rates for video and display ads, and ranks them by open programmatic advertising traffic volume, as measured by Pixalate. It is based on Pixalate’s AdFraud Indicators Of Compromise (IOC)-Database, the ad industry’s first open-source intelligence feed designed to aid fraud researchers, developers, and system administrators in the fight against Invalid Traffic (IVT).

AdFraud IOC-DB - MFA Mobile Apps - Apple App Store (May 2026)

AdFraud IOC-DB - MFA Mobile Apps - Google Play Store (May 2026)

Download the IOC-DB May 2026 Made-For-Advertising Mobile Apps Reports

• Apple App Store
• Google Play Store
  

What is the AdFraud IOC-Database?

The publicly available AdFraud IOC-Database is Pixalate's open-source, weekly-updated list of the top 50 highest-risk ad fraud Indicators of Compromise (IOCs). AdFraud IOC-DB is powered by Pixalate's MRC-accredited ad fraud detection engine, which analyzes 183 billion global data points daily. It filters massive datasets down to the 50 most critical threats, allowing sysadmins to easily integrate high-risk blocklists without overwhelming their infrastructure. The AdFraud IOC-DB reveals the top 50 IOCs observed across multiple supply-path touchpoints, including IP addresses (both IPv4 and IPv6), device IDs (mobile and CTV), datacenters, fraudulent Bundle IDs, MFA publishers, and delisted apps.

How can I access the complete list of IOCs?

The AdFraud IOC-DB is available for free on Pixalate's website, where users can see the weekly top 50 IOCs across 11 risk categories.

About Pixalate

Pixalate is a global platform specializing in privacy compliance, ad fraud prevention, and digital ad supply chain data intelligence. Founded in 2012 and recognized by UNICEF, Pixalate is trusted by regulators, data researchers, advertisers, publishers, ad tech platforms, and financial analysts across the Connected TV (CTV), mobile app, and website ecosystems. Pixalate is accredited by the MRC for the detection and filtration of Sophisticated Invalid Traffic (SIVT). pixalate.com

Disclaimer

The content of this press release, and the May 2026 Made-For-Advertising Mobile Apps Reports for Apple App Store & Google Play Store (the ‘Reports’), reflect Pixalate's opinions with respect to factors that Pixalate believes may be useful to the digital media industry. Any data shared is grounded in Pixalate’s proprietary technology and analytics, which Pixalate is continuously evaluating and updating. Any references to outside sources should not be construed as endorsements. Pixalate's opinions are just that, opinions, which means that they are neither facts nor guarantees. Pixalate's opinions are just that, opinions, which means that they are neither facts nor guarantees. Pixalate is sharing this data not to impugn the standing or reputation of any entity, person or app, but, instead, to report findings and trends pertaining to programmatic advertising activity across in the time period studied. Per the Media Rating Council (MRC), “‘Invalid Traffic’ is defined generally as traffic that does not meet certain ad serving quality or completeness criteria, or otherwise does not represent legitimate ad traffic that should be included in measurement counts. Among the reasons why ad traffic may be deemed invalid is it is a result of non-human traffic (spiders, bots, etc.), or activity designed to produce fraudulent traffic.” Where the traffic characteristics are suggestive of deliberate intent to mislead, such IVT is often referred to as “ad fraud.” Also per the MRC, “'Fraud' is not intended to represent fraud as defined in various laws, statutes and ordinances or as conventionally used in U.S. Court or other legal proceedings, but rather a custom definition strictly for advertising measurement purposes.”