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Mortgage Fraud Center

Income misrepresentation and document risk.

Borrower-supplied documents were always the weakest evidence in a file. These are the patterns lending teams encounter, and the records that surface them.

Risk

Income misrepresentation and document risk.

Borrower-supplied documents can be among the most vulnerable evidence in a loan file because the applicant controls what is presented. Independent government-source records give the lender a source outside that document chain. AI-assisted generation and widely available editing tools have reduced the skill and time required to create convincing financial documents, making independent source verification increasingly important.

Altered wage documents

A W-2 or pay stub adjusted upward is among the most common misrepresentations, and one of the hardest to spot by eye. Wage & Income data shows W-2, 1099 and other payer-reported information available in IRS records, giving the lender an independent source to compare against borrower-provided wage documents.

Undisclosed income and employers

Payer-reported W-2, 1099 and interest information available in IRS records can identify income sources that may not have been disclosed on the application.

Identity-data mismatch

A valid SSN combined with a name or date of birth that does not correspond to SSA records can produce a No Match. Comparing all three data elements against SSA records can expose mismatched or constructed identity data — but a Match does not, by itself, prove that the applicant is the legitimate holder of that identity.

Patterns

What tends to show up.

PatternHow it presentsWhat surfaces it
Inflated wagesStated income materially exceeds reported wagesWage & Income transcript
Fabricated employerVerification of employment cannot be independently confirmedPayer named on the transcript
Undisclosed businessContractor income beside a stated salaried role1099-NEC on the Wage & Income transcript
Overstated business incomePrepared statements exceed the filed entity return1065, 1120 or 1120-S transcript
Non-filingBorrower claims a return that never postedAccount Transcript
Synthetic identityThin file, valid SSN, name and DOB do not fitSSA verification, all three elements
Deceased SSNNumber belongs to a deceased individualDeath Master Index screening
Verification supports the lender's investigation

None of this makes the underwriting decision. Government-source records give you facts that do not depend on the applicant's choice of documents — what you do with a discrepancy remains yours to judge.

The core idea

A fraudulent file can agree with itself.

Every document below came through the applicant. They corroborate one another exactly as an underwriter would hope, which is precisely what makes the comparison beneath them matter.

Borrower-controlled file
Application$150,000
Pay stub$150,000
W-2$149,500
Borrower-supplied return$151,000
Employment letter$150,000
Everything appears consistent.
Independent source check
IRS Wage & Income$94,000
IRS Return Transcript$97,000
Records outside the applicant’s document chain.
What it tells you
The file was internally consistent. It was not externally supported. Illustrative example. Figures are examples, not a real borrower record.
Consistency inside the loan file is not the same as independent verification outside the loan file. A discrepancy is a reason to investigate — not proof of fraud.
Current loan-quality signal — income misrepresentation ranked second

Fannie Mae’s random post-purchase sample of loans acquired in Q3–Q4 2025 ranked misrepresentation of income as the second most common initial significant defect. Misrepresentation of primary occupancy ranked first.

Source: Fannie Mae Quality Insider, June 29, 2026

Motivation

Two different problems, often confused.

Mortgage fraud is usually sorted by what the party was trying to achieve. The distinction matters because the two look different in a file and call for different responses.

Fraud for house
  • Income inflated
  • Employment misstated
  • Occupancy misstated
  • Assets misrepresented
Goal: qualify for credit that might not otherwise be approved. Usually a borrower acting alone, wanting a specific house.
Fraud for profit
  • Straw buyers
  • Property schemes
  • Industry participants involved
  • Multiple coordinated transactions
Goal: improperly obtain loan proceeds or financial gain. Often organized, and rarely confined to one file.
Where government-source verification helps

Our records are most useful where the risk involves income, employment and payer-reported data, business tax information, or SSA identity-data discrepancies. They contribute far less to property valuation schemes, occupancy misrepresentation or title fraud — which are real risks, but not ones a transcript answers.

What to look for

Income and identity red flags.

A short list of the signals that intersect with government-source records. Industry fraud resources list many more, covering property, occupancy and transaction risk.

Income materially out of line with the stated occupation
Employer cannot be independently confirmed
Name, Date of Birth and SSN inconsistencies
Tax-return figures conflict with the application
Self-employment appears elsewhere in the file but was not disclosed
Payer-reported income does not reconcile with borrower documents
None of these proves fraud. Each creates a question that should be independently investigated.
A discrepancy is not automatically fraud

A red flag is a reason to investigate. Government-source verification supplies independent facts that help the lender determine whether the difference is an error, an underwriting defect, incomplete documentation or potential misrepresentation. The presence of one or more red flags does not by itself indicate fraudulent intent.

Ready when you are

Found a discrepancy in the file?

Government-source verification does not determine fraudulent intent. It gives the lender independent facts to investigate before relying on the borrower-provided record.