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What Are You Searching For? A Remote Keylogging Attack on Search Engine Autocomplete
KREEP reconstructs search queries from encrypted autocomplete traffic by combining packet timing, URL-space encoding, and HTTP/2 Huffman-compression size leaks with neural and language models. Across two search engines it identified 15% of queries within 50 hypotheses and recovered up to 60% of query text; randomized padding or merged requests reduced the leakage.
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- John V. Monaco
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This page is the archive's own catalogue record. The research is the work of John V. Monaco, first published at the original source. Preserved copies are kept so the citation survives its host.