Types of Mobile Ad Frauds

Mobile advertising faces a barrage of challenges, from ad stacking to install frauds. Fraudsters employ sophisticated techniques, disrupting and infecting mobile ad campaigns. Let’s explore the types of mobile ad frauds that plague the mobile advertising ecosystem.

Mobile ad fraud is a kind of deceptive practice that exploits the advertising system of the mobile for financial games and encompasses many fraudulent activities. It comes as a significant challenge for the advertiser, advertising platforms and all the app developers but combatting all magic bid turns out to be an ultimate solution for the same. It helps in filtering and validating all the traffic that is in accordance with the MRC guideline which is related to both general and sophisticated traffics giving you inside from the page visit. 

Different Types of Mobile Ad Frauds

Different Types of Mobile Ad Frauds

Ad Stacking:

  • Multiple ads are stacked upon each other.
  • Users engage with the top ad, but multiple advertisers are billed.
  • Fraudsters benefit numerous times per user, often without user awareness.

Attribution Fraud:

  • Fraudsters take fake credits for an app install using malware.
  • Malware tracks user activity, generating fake click reports and attributing engagement to the fraudster.
  • Fraudster gets paid for organic installs without effort.

Click Farms:

  • Physical locations where mobile ad frauds are committed using a swarm of devices and click farmers.
  • Generates fake impressions on mobile ad campaigns.
  • Evades detection by changing IP addresses through VPNs.

Click Spamming:

  • Generates fake clicks in the name of users who haven’t engaged with the ads.
  • Fraudulent apps present impressions as clicks, claiming a share of the advertiser’s budget.
  • It makes the advertising platform believe that the ads are generating a greater amount of interaction from the user perspective.
  • IVT management solutions like MagicShield offer filters to tackle click spamming.

Click Injection:

  • Fraudster hijacks the app install of real users by listening to install broadcasts.
  • Charges the click to the fraudster even before the installation is completed.
  • Uses a dormant app to inform the fraudster about the app installation.

Device ID Reset Fraud:

  • Exploits the ability of Android and iOS to reset device IDs.
  • Resets device ID after installation, making every reinstall appear as an organic install.
  • Bad actors capitalize on this opportunity to manipulate app installs.

Bundle ID Spoofing:

  • Fraudsters misrepresent ads running on one app by assigning fake identifiers to another.
  • Creates a bundle of IDs that impersonates legitimate apps, deceiving advertisers.

SDK Spoofing:

  • A malware-infused legitimate app generates clicks and impressions for a different app.
  • Engages users without marketing or installing the app.
  • Fraudsters attract engagements and impressions from another app.

Emulated Devices:

  • Simulations of mobile devices and operating systems on computers.
  • Used to generate fake impressions and engagements by creating fake users.
  • Exhausts the advertiser’s budget without genuine user engagement.

Click Redirection:

  • More common on the mobile web.
  • Redirects users to an app install landing page even when the click wasn’t intended for an ad.
  • Fraudster gets attributed for the conversion if the user downloads the app due to redirection.

Conclusion

The fraud makes adds many negative on the website that brings out financial losses which clear out all the resources. Magic Shield comes to your rescue when it comes to mobile ad fraud as it brings out all the insights from the page validating the conversion and being a one stop solution for the prevention of Mobile ad fraud. The magic tag by magicbid uses the fraud detection service that measures your viewability working with a trusted monetization source. This also verifies the IP, domain and the app bundles drilling down the traffic report. It also uses an anti Malware software that protects the page from performing worse, preventing it from any real time attack.