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In large-scale data analysis, near-duplicates are often a problem. Forexample, with two near-duplicate phishing emails, a difference in thesalutation (Mr versus Ms) is not essential, but whether it is bank A or B isimportant. The state-of-the-art in near-duplicate detection is a black boxapproach (MinHash), so one only knows that emails are near-duplicates, but notwhy. We present DarkDiff, which can efficiently detect near-duplicates whileproviding the reason why there is a near-duplicate. We have developed DarkDiffto detect near-duplicates of homepages on the Darkweb. DarkDiff works well onthose pages because they resemble the clear web of the past.

DarkDiff: Explainable web page similarity of TOR onion sites