An inside look at our Threat Lab: 24 hours with Evgeny Shmelkov
An inside look at our Threat Lab: 24 hours with Evgeny Shmelkov
Let’s get real: Detecting fraud takes a holistic approach
AdExchanger released an article DoubleVerify And SpotX Flag New Type Of Ad Fraud: ‘Verification Stripping’, in which DoubleVerify claims to have detected a new form of fraud. At the IAS Threat Lab we have a different perspective on what is...
Media Quality Report: Q&A on fraud
Recently, we presented the results of the latest Media Quality Report for H1 2017. We were impressed by the number of insightful questions asked around the topic of ad fraud. Unfortunately, we were unable to respond to every inquiry during...
Climb the ladder to success ads.txt style
As one of the new kids on the block, ads.txt acts as a building block to combat fraud, and more specifically domain spoofing, within the programmatic supply chain. What does this mean for publishers, advertisers, and data providers? While still...
Monetising ad fraud: the fraudsters perspective
The IAB and Ernst & Young estimate that $4.6 billion is lost due to ad fraud / non human traffic annually in the US. This is only one estimate, there are numerous estimates, with some reaching over 10 billion. However,...
Transparency in digital: H1 2017 Media Quality Report
In this webinar we present the results of the Media Quality Report for H1 2017. Learn how to use brand safety, viewability, and ad fraud benchmarks to bring greater transparency to your digital campaigns.
Now’s not the time to brush ad fraud under the carpet
When supposed losses of up to $5 million a day were bandied about the digital advertising industry, it’s safe to say that almost everyone sat up and listened. And maybe the threat of a large financial hit, such as Methbot,...
Bots: a short guide
When most people think of ad fraud, they think of bots. Click below to get your short guide to bots and bot traffic. Want to learn more about the different types of ad fraud? Download the full guide.
The three pillars of ad fraud detection
The three pillars of ad fraud detection: behavioral and network analysis, browser and device analysis, and malware analysis and targeted reconnaissance.
Transparency in digital: a Q&A on ad fraud
In our recent webinar, “Transparency in digital: how did your campaigns stack up?” we received a lot of great questions about the different aspects of media quality. In this blog post, we’re answering your questions about ad fraud.
