Immigration Document Fraud Detection

Detect structural modifications in visa documents before submission. One fraudulent filing — an edited bank statement, a forged recommendation letter, a fake Certificate of Sponsorship, an altered employment contract — can trigger a compliance audit or revoke your sponsor licence. htpbe? catches both fake and tampered PDFs invisible to the naked eye.

~3 sec

per document

35 checks

forensic layers

From $15

per month

1,500+

docs / month on Growth

Scope

htpbe? analyzes the structural layer of the PDF file — the layer that records every edit, even invisible ones. We don’t inspect passport biometrics, holograms, or scanned-image authenticity, and we don’t replace right-to-work or sponsor-licence verification systems. If your fraud problem is a tampered or fabricated supporting PDF (employment letter, salary slip, education certificate, financial proof), we’re the most specific tool for it.

INCONCLUSIVE meaning is context-dependent: institutional documents (bank statements, government issuances) → INCONCLUSIVE is a fraud signal; small-employer letters and personal documents → INCONCLUSIVE is the expected baseline, requires combining with other markers before flagging.

Why visual review misses tampered immigration documents

Immigration consultants and global mobility teams process hundreds of supporting documents per month — bank statements, recommendation letters, employment contracts, Certificates of Sponsorship. A single fraudulent document in a visa application can trigger a sponsor licence audit, suspension, or revocation.

Visual inspection catches obvious forgeries: wrong fonts, misaligned logos, spelling errors. But modern PDF editing tools produce documents that are visually indistinguishable from originals. The modifications exist only in the file’s binary structure — metadata fields, cross-reference tables, incremental update chains.

htpbe? analyses the PDF’s internal structure to detect whether a document was modified after its original creation — regardless of how convincing it looks on screen. No baseline copy required, no original document needed for comparison.

Compliance risks from fraudulent filings

Sponsor licence revocation risk from fraudulent filings
Altered bank statements meeting visa financial requirements
Post-signature edits invisible to visual review
Recommendation letters forged after original signing

What the API detects in immigration documents

Forensic analysis across three common document types

Certificates of Sponsorship

Altered sponsorship certificates are among the most common forged immigration documents. htpbe? detects metadata inconsistencies and structural edits in seconds.

Bank Statements for Visa Applications

Applicants sometimes submit edited bank statements to meet financial requirements. Our forensic analysis catches Excel-modified PDFs and balance alterations.

Recommendation & Support Letters

Post-signature edits to recommendation letters leave structural traces detectable by htpbe? — even when the visual presentation appears unchanged.

Built for immigration and global mobility teams

Integrate into your document review workflow

Detect altered Certificates of Sponsorship before filing with the Home Office

Flag bank statements edited in Excel or PDF tools to meet visa financial thresholds

Catch post-signature modifications to recommendation and support letters

Identify metadata inconsistencies that indicate document tampering

Integrate into your case management system via a single REST call

Free web tool lets compliance teams check suspicious documents for tampering without writing code

Five forensic layers, one deterministic verdict

Every PDF we receive passes through the same structural pipeline — no model training, no thresholds to tune.

Metadata analysis

Creation and modification timestamps, producer and creator fields, XMP metadata — the first layer exposes basic tampering.

File structure

Xref tables, trailer chain, incremental updates. Any edit after export leaves a structural fingerprint here.

Digital signatures

Signature chain integrity and post-signature modifications produce deterministic markers. Certainty-level signal.

Content integrity

Fonts, objects, embedded content, page assembly. Multi-session edits and inserted objects are visible at this layer.

Verdict with markers

Deterministic output: INTACT / MODIFIED / INCONCLUSIVE, with named markers for every finding — suitable for audit trail.

See the full 35-check breakdown

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 verified 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

Integrate in minutes

Detect tampering in immigration documents programmatically

Step 1 — POST /v1/analyze

bash

curl -X POST https://api.htpbe.tech/v1/analyze \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"url": "https://your-storage.com/bank-statement-march-2024.pdf"}'

Step 2 — GET /v1/result/{id} — Modified verdict

json

{
  "id": "a1b2c3d4-5e6f-7a8b-9c0d-e1f2a3b4c5d6",
  "status": "modified",
  "modification_confidence": "high",
  "modification_markers": [
    "Known PDF editing tool detected",
    "Multiple cross-reference tables (incremental updates)"
  ],
  "producer": "Microsoft Excel",
  "creator": "Microsoft Excel",
  "creation_date": 1709280000,
  "modification_date": 1709366400,
  "has_digital_signature": false,
  "xref_count": 3,
  "has_incremental_updates": true
}

The API returns a structured verdict with named markers. Modified means the PDF was structurally altered after creation. Intact means no modification traces found. Inconclusive means the file lacks enough metadata to determine either way.

Pricing

Self-serve plans. No sales call, no procurement process.

Starter

$15/mo

30 checks/mo

Manual spot-checks for low-volume immigration teams

Growth

$149/mo

350 checks/mo

Active visa processing pipelines

Pro

$499/mo

1,500 checks/mo

High-volume global mobility and compliance teams

Enterprise (unlimited, on-premise available) — see full pricing and docs

Secure your workflow View API docs

API key on signup. Free test environment on every plan. No card required.

Frequently Asked Questions

Can htpbe? detect tampering in a Certificate of Sponsorship PDF?

Yes. htpbe? analyses the PDF’s internal structure — xref tables, metadata fields, incremental update chains, and digital signature integrity — to detect whether the document was modified after its original creation. This works on Certificates of Sponsorship, recommendation letters, bank statements, and any other PDF document.

Do I need the original document to detect tampering?

No. htpbe? performs one-sided forensic analysis on the single submitted file. No baseline copy or original is required. The analysis uses internal structural signals present in every PDF.

What document types does htpbe? support?

htpbe? analyses any PDF document: bank statements, recommendation letters, Certificates of Sponsorship, transcripts, employment letters, and other supporting documents commonly used in visa applications.

What does htpbe? return if tampering is detected?

htpbe? returns a structured verdict (Modified, Intact, or Inconclusive) with named markers explaining exactly what triggered the verdict — for example, “Modification date differs from creation date by 3 days” or “Incremental update detected after digital signature.”

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.