Dumviri: Detecting Trackers and Mixed Trackers with a Breakage Detector
CoRR(2024)
摘要
Previous automatic tracker detection work lacks features to recognize web
page breakage and often resort to manual analysis to assess the breakage caused
by blocking trackers.
We introduce Dumviri, which incorporates a breakage detector that can
automatically detect web page breakage caused by erroneously blocking a
resource that is needed by the page to function properly. This addition allows
Dumviri to prevent functional resources from being misclassified as trackers
and increases overall detection accuracy. We designed Dumviri to take
differential features. We further find that these features are agnostic to
analysis granularity and enable Dumviri to predict tracking resources at the
request field granularity, allowing Dumviri to handle some mixed trackers.
Evaluating Dumviri on 15K pages shows its ability to replicate the labels of
human-generated filter lists with an accuracy of 97.44
analysis, we found that Dumviri identified previously unreported trackers and
its breakage detector can identify rules that cause web page breakage in
commonly used filter lists like EasyPrivacy. In the case of mixed trackers,
Dumviri, being the first automated mixed tracker detector, achieves a 79.09
accuracy. We have confirmed 22 previously unreported unique trackers and 26
unique mixed trackers. We promptly reported these findings to privacy
developers, and we will publish our filter lists in uBlock Origin's extended
syntax.
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