A basic assumption in online advertising is that it is possible to attribute a view of a particular ad creative (i.e., an impression) to a particular web page. In practice, however, the seemingly simple task of ad attribution is challenging due to the scale, complexity and diversity of ad delivery systems. In this paper, we describe a new form of fraud that we call placement laundering, which exploits vulnerabilities in attribution mechanisms. Placement laundering allows malicious actors to inflate revenue by making ad calls that appear to originate from high quality publishers. We describe the basic aspects of placement laundering and give details of two instances found in the wild. One of the instances that we describe abuses the intended functionality of the widely-deployed SafeFrame environment. We describe a placement laundering detection method that is capable of identifying a general class of laundering schemes, and provide results on tests with that method.
翻译:在网上广告中,一个基本假设是,可以将某种特定广告创意(即印象)的观点归属于某一网页。然而,在实践中,由于广告提供系统的规模、复杂性和多样性,似乎简单的广告归属任务具有挑战性。在本文中,我们描述了一种我们称之为安置洗钱的新形式的欺诈,这种欺诈利用了归属机制中的脆弱性。安置洗钱使恶意行为者能够通过似乎来自高质量出版商的广告来增加收入。我们描述了安置洗钱的基本方面,并详细介绍了在野外发现的两起案例。我们描述的一个例子滥用了广泛部署的安全网环境的预期功能。我们描述了一种能够确定一般洗钱计划的安置洗钱探测方法,并提供了使用这种方法进行测试的结果。