Dropbox appears on both legitimate first-generation output and downstream re-save flows — context (the other tool on the same document) is what flips the signal.
Back to all statisticsForensic verdictBased on 13 appearances across the HTPBE? corpus.
Corpus profile
Dropbox is one of the PDF-handling tools surfaced in the HTPBE? corpus. Dropbox appears predominantly as the original Creator (100% of its occurrences) — i.e. on documents that started life inside Dropbox rather than passing through it as a downstream re-saver.
In the HTPBE? corpus the contextual signal we look for is a producer/creator mismatch: when Dropbox appears as the latest Producer on a document whose Creator was an institutional source (e.g. Adobe PDF Library, Microsoft Word, a banking back-end), the document was rebuilt or re-saved after its original creation. That mismatch is the marker — never the tool itself.
On documents where Dropbox acts as Creator, 62% carry modification markers; on documents where it acts as Producer, 0% do. These are observed rates inside the HTPBE? corpus and should be read as base-rates, not as accusations against Dropbox or its users.
Role in the workflow
Every PDF carries a Creator (the application that produced the original document) and a Producer (the engine that wrote the PDF). The same tool can appear in either slot, with very different modification profiles.
Name fingerprints
Different version strings and spellings observed for Dropbox in the wild. All are merged into the same canonical profile.
Why variants matter
The same tool publishes itself under 2 different metadata strings — version bumps, locale tags, build IDs. We canonicalize them so the corpus reflects one identity, not noise.
Distributions
The PDF versions Dropbox writes when acting as Producer, and the other tools that appear in the same documents.
Related profiles
Other tools that frequently share metadata with Dropbox in the same documents. Each card links to its own forensic profile.
Long tail
Smaller cuts of the Dropbox corpus — useful context, but treat each row as a single data point rather than a strong signal.
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