Fake Diploma Detection — Catch Forged Degrees
A fake diploma costs $40 online and qualifies someone for a job that pays six figures — visual review never sees it. BGV operators, talent ops teams, immigration officers, and licensing bodies all rely on diploma and transcript PDFs as proof of qualification. Diploma mills and fraud rings know the visual signal is trivial to copy. They mint diplomas in Microsoft Word using a real university template, edit grades, sign the registrar’s name, export to PDF. Visual review passes; structural analysis does not.
HTPBE? analyzes the structural layer of the PDF file — the layer that records every edit, even invisible ones. We don’t inspect holograms, embossed seals, or physical paper. If your fraud problem is a digitally fabricated or tampered diploma, degree, or transcript PDF, we’re the most specific tool for it.
When HTPBE? returns INCONCLUSIVE on a diploma or transcript, that’s itself a fraud signal in this context — real diplomas and transcripts come from university registrar systems (Banner, PeopleSoft Campus Solutions, in-house print engines) or accredited fraud-detection platforms (National Student Clearinghouse, Parchment, Digitary), never from a desktop tool.
The problem
Modern document fraud is invisible to visual review
A growing class of document fraud opens a genuine PDF, edits a balance, a date, or a beneficiary, and re-saves it. Visually nothing changes — the document passes pixel-level review, layout review, and KYC.
Structural PDF analysis reads the layers rendering engines never expose: revision history, object structure, signature coverage maps. That is where edits leave fingerprints they cannot wipe.
Common tampering patterns
- Modified balances or totals after export
- Swapped IBAN or beneficiary on invoices
- Post-signature edits on contracts
- Backdated issue and modification dates
- Fabricated documents from consumer PDF tools
What this looks like
How fake and tampered diplomas actually look
Three real fraud mechanics we catch at the structural PDF layer.
Diploma fabricated in Microsoft Word from scratch
No university involved. The applicant downloads the university crest from the public site, drops it into Word with a degree template, types the candidate name and graduation date, signs the registrar’s name, exports to PDF. The producer field shows Microsoft Word — not the registrar print engine or accredited fraud-detection platform real diplomas carry.
Real transcript with edited grades or GPA
Applicant has a genuine transcript but the grades or GPA don’t qualify them for the role, programme, or visa. They open the PDF in any editor, change the grades, re-export. Incremental update markers expose the edit even when the visual layout looks pixel-perfect.
Diploma from a diploma-mill or fictional institution
A "university" name nobody can check, with a polished diploma at a high credential level. The structural fingerprints (Word producer, single-session export, no e-sign chain, no accredited-platform metadata) match a desktop fabrication regardless of whether the named institution exists at all.
The scale
Why your existing checks miss this
Education-fraud-detection platforms check the record. They do not check the file.
And manual visual review of a diploma rarely catches a polished Word fabrication.
Education-fraud-detection platforms (National Student Clearinghouse, World Education Services, Trua, Sterling Education) check the candidate’s record against the institution’s database — this works when the institution participates and the candidate consents. But coverage is partial (international institutions, recent graduates, defunct universities, diploma mills posing as real schools), and consented fraud detection takes days to weeks. HTPBE? catches the file the candidate uploaded — instant, no consent flow, no institutional relationship required. Use both: education-fraud detection for the record when reachable, HTPBE? for the file always.
What HTPBE? checks
Detection capabilities
Deterministic structural signals. No probabilistic scores, no model training.
Producer signature on the diploma or transcript
Authentic diplomas and transcripts come from university registrar systems (Banner, PeopleSoft Campus Solutions, Workday Student) or accredited fraud-detection platforms (National Student Clearinghouse, Parchment, Digitary, MyCreds). When the producer field shows Microsoft Word, LibreOffice, Google Docs, Chrome Headless, or a generic PDF library, the document was authored on a desktop — not issued by an accredited registrar.
Digital signature presence and chain
Modern accredited fraud-detection platforms (Parchment, Digitary, MyCreds, National Student Clearinghouse) digitally sign their PDFs with the institution’s certificate. Authentic checked credentials carry a valid signature chain. Fabrications either lack signatures entirely or have invalidated chains — visible regardless of the visual signature image.
Incremental update trail
A clean export from a registrar system or accredited platform has one cross-reference table. Re-saves through any PDF editor append a second xref — visible structural evidence of post-issuance editing on grades, GPA, or graduation date.
University crest and image-stream artefacts
Real registrar templates embed the institutional crest as part of the template’s font and image objects. Lifted-and-pasted crests from public sites appear as redundant image streams with mismatched compression characteristics — a structural fingerprint of fabrication.
Modification timestamp gap
A real diploma issued at the time of conferral has CreationDate matching ModDate (single-session export). A weeks-or-months-later modification on a "freshly issued" diploma is a high-confidence flag for post-export editing.
Cross-document signature and crest reuse
When the same registrar signature image or institutional crest appears across multiple "different" university diplomas from a single applicant pool, image-stream hash matching exposes the shared source — a fingerprint of a single diploma-mill or fabricator producing multiple credentials.
Share with engineering
Wire this into your intake pipeline in under a day
Two API calls — one POST to submit the PDF, one GET to retrieve the verdict. Forward this page to your engineering team; the full API reference, quotas, and copy-paste examples in cURL, JavaScript, Python, PHP, Go, and Ruby are one click away.
Pricing
Self-serve plans, no sales call
All plans include the same forensic checks. Pick the quota that matches your monthly document volume.
manualStarter
$15/mo
30 checks/mo
Manual spot-checks and integration testing
most commonGrowth
$149/mo
350 checks/mo
Active document processing pipelines
high volumePro
$499/mo
1,500 checks/mo
High-volume automation and API integrations
Enterprise (unlimited, on-premise available) — see full pricing
API key on signup. Free test environment on every plan. No card required.
Customer Stories
Teams that stopped document fraud
Compliance, finance, and risk teams use HTPBE? to catch manipulated PDFs before they become costly mistakes.
Caught an invoice where the total had been changed by less than a thousand dollars. Without this I would have approved it without a second look.
Sarah M.
AP Manager
United States
We had three applicants in the same week with bank statements that looked completely fine. Two of them were flagged as modified. You simply cannot see this by reading the document — it is in the file structure.
Lars V.
Risk Analyst, Online Lending
Netherlands
Salary slips were coming with altered figures. We identified two problematic files before the placement was finalised.
Priya K.
HR Operations Lead
India
Since we started checking documents this way, we stopped two applications early in the process that would have been very difficult to reverse later.
Julien R.
Fraud Analyst, Fintech
France
Some applicants were sending PDFs that looked authentic but had been edited in ways not visible to the eye. We now ask for checked originals when something is flagged. Already saved us from a few bad decisions.
Marta S.
Compliance Coordinator
Spain
One invoice was caught because there was a mismatch between the document dates and structure. That particular case would have cost us significantly.
Tariq A.
Finance Manager
United Arab Emirates
FAQ
Frequently asked questions
Does this work for diplomas from any university worldwide?
How is this different from National Student Clearinghouse or WES fraud detection?
Can it catch grade or GPA edits on an otherwise real transcript?
modified with the incremental-update marker even when the visual layout looks pixel-perfect.What does an INCONCLUSIVE verdict mean for a diploma or transcript?
Secure your workflow
Create your account — API key on signup, free test environment on every plan.
From $15/mo. No sales call. Cancel any time.