The Most Effective Way to Stop Malvertising at the Source
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Stop relying on tracking previous bad actors or using a pre-scanning environment for detecting malicious activity. Behavioral analysis tools are more effective at detecting malicious advertising in realtime and preventing users from being affected.
As a Platform, you'll have access to robust data so you can comprehensively understand all attempted threats from all buyers on your platform. Real-time actionable data gives you the tools you need to hold your buyers accountable.
Get access to a full “smoking gun” forensic report of the activity of every malicious attack attempt, or download lite versions within the dashboard.
Because we wait and block malicious code only when it begins to trigger, there is a lower risk of false positives.
Behavioral analysis allows clean.io to prevent new attack attempts and novel threats in real time even if we haven't seen them before.
Our software runs in realtime, and doesn’t rely on searching a large blocklist so there are no impacts on speed for the user.
Understanding when different solutions attempt to block malvertising is key to comparing effectiveness.
Bad actor sets up a malvertising campaign through DSP.
Bad actor submits their campaign for creative review.
DSP and SSP Pre-Scanning Tools attempt to check for malicious activity at this step. Bad actors can check for scanning environments and hide malicious activity.
Bad actor's campaign is launched and begins running.
Blocklists try to catch known bad actors at this stage. These tools require checking a long list of known bad actors and can introduce latency.
Ad creative renders on the publisher site, and malveritser pays SSP for the impression.
Clean.io uses behavioral analysis to recognize and block code as it begins to attempt to execute malicious activity on the publisher site.
clean.io provides the data needed to stop attacks at the source. SSP can now remove malvertiser from the platform.
VP, Product Management, Xandr