Fake black-box redactions
Looks for dark filled rectangle patterns alongside text drawing operators in decoded content streams.
Audit a PDF for black-box overlay redactions, searchable or invisible text, older incremental revisions, attachments, scripts, forms, comments, and hidden layers.
Evidence warning: A clean automated report cannot guarantee that every secret was removed. Legal, medical, HR, and disclosure documents still require an authorized human review and an approved redaction workflow.
Maximum 10 MB. The API processes the file in memory and does not retain file content. Never upload confidential material unless your policy permits processing by this service.
Looks for dark filled rectangle patterns alongside text drawing operators in decoded content streams.
Counts end markers and /Prev chains that indicate incremental saves may retain superseded PDF objects.
Checks for invisible text modes, unapplied redaction annotations, optional layers, forms, comments, and embedded files.
Flags JavaScript, launch, and automatic-open action markers that should not be present in a sanitized disclosure copy.
Analyze the exact PDF intended for release and preserve its SHA-256 report.
Treat overlay, revision-history, active-content, and attachment errors as stop-and-review findings.
Apply permanent redactions, remove hidden data, export a sanitized copy, and run the audit again.
The original text can remain selectable, searchable, extractable, or recoverable from the PDF objects underneath the rectangle.
Yes. Incremental saving can append changes and preserve older objects. A /Prev chain or multiple revision markers deserves review.
No. Encryption, unusual filters, malformed structures, images, and unsupported compression can prevent automated inspection.
No. It is a technical triage report for an exact file hash, not legal advice or certification.
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