How Fake Salary Proofs Are Costing Indian Employers Lakhs in Hiring

Hiring fraud is often discussed in terms of fake experience, forged documents, or identity issues. But one of the most overlooked risks is salary misrepresentation.

When candidates inflate past compensation or submit tampered salary proof, employers can end up making inflated offers, distorting internal pay structures, and increasing the cost of a bad hire.

This article examines that risk in the Indian hiring context and explains why fast, reliable background verification is becoming essential for HR teams.

A recent Millow case shows how quietly salary fraud can distort hiring decisions. A candidate submitted an offer letter showing a previous salary of ₹25,000 per month. The hiring company, impressed by her confidence and apparent sales experience, offered ₹35,000 per month. Millow’s verification found that the offer letter had been tampered with just minutes before submission, and the candidate’s actual salary was ₹18,000. The company rescinded the offer.

That is not a small discrepancy. Had the employer hired her at ₹35,000, it would have committed to paying ₹2.04 lakh more per year than her actual last drawn salary, and ₹4.08 lakh more over two years, before counting hiring, onboarding, and replacement costs.

The uncomfortable truth is that many companies are probably overpaying for candidates whose salary proofs, experience letters, or compensation claims are inaccurate. And in India’s current environment, where most companies are trying to control compensation budgets, that is an avoidable leak in profitability. Deloitte India said average salary increases are expected at 8.8% in 2025, while WTW projected a 9.5% median salary increase in India for 2025. A fake salary jump can therefore exceed an entire normal annual increment cycle in one move.

Indian employers have been hearing anecdotal warnings for years, but now the data is catching up.

AuthBridge says it analysed more than 20 million background verification cases for its FY24 trends report and found a 44% increase in discrepancies during employment verification. It also says 15 out of every 100 white-collar employees failed the employment check.

EY India, in a 2025 study based on more than 1 million pre-employment screenings across 90+ mid- to large-sized organisations, said hiring fraud has surged significantly. In healthcare, fake document submission was described as the biggest challenge; EY said 75% of such candidates submitted fake employment documents. In financial services, EY found that 84% of discrepant employment checks stemmed from misleading information shared by candidates, and specifically noted that salary proofs and inflated compensation were among the most forged documents.

Even the anecdotal signals are striking. In 2023, PhysicsWallah’s CHRO said around 80% of candidates lie about salary and work experience in resumes. That figure should not be treated as a scientific national average, but it is a useful indicator of how widespread HR leaders believe the problem has become.

Globally, this is not an India-only issue. HireRight’s 2025 Global Benchmark Report found that more than three-quarters of respondents worldwide had uncovered candidate discrepancies in background screening during the last 12 months. Almost two in five said they find at least one discrepancy per 20 candidates screened, and 13% said they typically find at least one discrepancy per five candidates. Employment discrepancies were among the most common types of inconsistencies identified.

Salary misrepresentation is uniquely costly because it affects the offer itself.

A fake degree or fake experience letter may eventually show up in performance. But inflated salary proofs distort compensation at the very moment the offer is created. Once the employer anchors on a false last drawn salary, several things happen:

First, the company may overpay immediately. In Millow’s example, the direct annual overpayment versus the candidate’s actual last salary would have been ₹2.04 lakh. Even if the company had offered only ₹30,000 instead of ₹35,000, the annual excess over the real ₹18,000 salary would still have been ₹1.44 lakh.

Second, the distortion compounds over time. Appraisals, incentives, retention corrections, and parity adjustments all start from the wrong base. A candidate who enters at an inflated number can remain expensive for years. In the same example, the difference between the fake ₹25,000 claim and the actual ₹18,000 salary already embeds ₹84,000 of annual inflation before negotiations even begin.

Third, the employer can trigger internal inequity. If an HR team unknowingly pays a manipulated premium to one candidate, it may create compression with existing employees, especially in sales, operations, customer support, and junior-to-mid-level functions where pay bands are tighter.

Fourth, if the fraud is discovered after joining, the firm still bears rehiring costs. ETHRWorld reported that companies in India spend about ₹30,000 to ₹1.5 lakh per hire on average, depending on role and industry. It also quoted leaders saying that the total cost can rise to 1.25 to 1.4 times base salary once onboarding, benefits, manager time, training, tools, and lost productivity are included.

There is not yet a widely cited India-specific study isolating only the cost of candidates lying about previous salary. But HR leaders can estimate it fairly well by combining the salary delta with hiring and replacement costs.

Here are realistic illustrations:

A frontline sales candidate whose real pay is ₹18,000 but who gets hired at ₹35,000 creates a direct salary premium of ₹17,000 a month, or ₹2.04 lakh a year. If that hire fails in 6–12 months, the company may also absorb a fresh hiring cycle costing tens of thousands of rupees more.

For a mid-level employee paid ₹8 lakh annually, a conservative “bad hire” rule of thumb often used in HR is that the damage can reach 30% of first-year earnings. That would be ₹2.4 lakh, even before harder-to-measure customer, team, and manager distraction costs. SHRM’s 2025 benchmarking also put average cost-per-hire at $5,475 for non-executive roles and $35,879 for executive roles in the U.S., showing how expensive replacement becomes once a wrong hire enters the system.

For leadership hiring, the exposure can be much higher. ETHRWorld reported that for leadership roles in India, hiring cost is often 5–8% of annual CTC. So when a senior candidate inflates compensation, the company does not just risk a richer monthly salary; it risks a more expensive search, more stakeholder time, and a larger clean-up cost if things go wrong.

India still has a strong “last drawn salary” culture. Employers commonly ask for previous CTC, payslips, bank statements, offer letters, and relieving documents. That creates a practical risk: if previous salary is used as the anchor for the new offer, forged or manipulated documents can directly influence what the company pays.

This is one reason other jurisdictions are moving away from salary-history dependence. The EU Pay Transparency Directive says employers may not ask job applicants about their current or previous pay. In Singapore, The Straits Times reported that employers commonly ask for last-drawn salary, but experts quoted in the article said candidates are generally not required to disclose it, and that companies should not always rely on last-drawn pay because it is not always an accurate representation of capability.

India has not broadly moved to that model. So until hiring becomes more role-value based and less past-salary based, verification remains the practical control.

The salary delta is only the visible loss.

When fraudulent pay claims slip through, companies also risk:

Bad benchmarking. HR may think the market has moved up when in reality the candidate’s documents were manipulated.

Pay compression. Honest employees discover new hires are getting outsized offers, and retention conversations become more expensive.

Managerial drag. Sales leaders, HRBPs, and recruiters spend time re-opening requisitions, re-running interviews, and defending compensation decisions.

Culture damage. Candidates who lie and succeed teach the market that dishonesty works.

Compliance and trust risk. In regulated sectors such as BFSI and healthcare, document fraud is not just a hiring issue; it is a governance issue. EY’s findings for healthcare and financial services underline that clearly.

The first shift is mindset: salary fraud is not a minor negotiation tactic. It is compensation fraud.

The second shift is process: do not rely only on submitted documents. Offer letters, salary slips, experience letters, and even bank statements can be altered. EY explicitly said salary proofs and inflated compensation emerged as among the most forged documents in financial services checks.

The third shift is verification design. Employers should verify previous employment, title, tenure, and compensation independently and quickly enough that the check influences the offer decision, not just post-offer paperwork.

The fourth shift is compensation philosophy. Where possible, companies should move toward role-based compensation ranges supported by skills, interview performance, and market data, rather than treating last drawn salary as the main input.

Millow’s value is simple: catch the lie before it becomes payroll.

In the case above, the client was about to anchor an offer on manipulated compensation proof. Millow detected tampering within seconds and verified that the candidate’s actual salary was ₹18,000, not ₹25,000. That prevented a likely direct overpayment of ₹2.04 lakh a year at the offered salary level, not counting downstream costs.

For HR teams, that is the real ROI of background verification. It is not just about catching dramatic fake identities or criminal records. It is also about protecting compensation budgets from quieter, more common forms of fraud: inflated salary slips, altered offer letters, fake experience letters, moonlighting concealment, and compensation misrepresentation.

In a market where average salary budgets are rising by single digits, one manipulated document can force a double-digit or even triple-digit pay distortion for the role. That is why fast, document-level verification is no longer optional for serious hiring teams.

Few public studies isolate “salary lie loss” as a standalone metric. But the available evidence points in one direction: discrepancies in employment verification are rising in India, forged salary proofs are a real issue, and the financial consequences can include direct overpayment, hiring-cost waste, replacement expense, internal pay distortion, and avoidable governance risk.

If even a small share of offers are being priced off manipulated salary history, many employers are unknowingly paying more than they need to, and rewarding dishonesty in the process.

That is exactly the gap Millow helps close.

Salary fraud in hiring happens when a candidate misrepresents previous compensation during the recruitment process. This may include fake salary slips, altered offer letters, forged bank statements, or inflated CTC claims.

Candidates may lie about salary by editing offer letters, changing numbers in salary slips, inflating fixed pay or incentives, misreporting total CTC, or submitting tampered proof of employment compensation.

Salary misrepresentation can lead employers to make inflated offers, increase payroll costs, create internal pay inequity, and set the wrong salary benchmark for future hiring.

The loss depends on the salary gap and how long the employee stays. Even a difference of ₹10,000 to ₹20,000 per month can add up to ₹1.2 lakh to ₹2.4 lakh per year in direct salary cost alone, excluding hiring, onboarding, and replacement costs.

Yes, salary and employment discrepancies are a growing concern in India. Many employers still rely on previous salary documents during hiring, which makes manipulated compensation proof a serious risk.

Commonly manipulated documents include offer letters, salary slips, experience letters, compensation revision letters, and sometimes bank statements or tax-related income proofs.

Yes. A strong background verification process can detect salary fraud by checking document tampering, verifying employment details independently, and confirming actual compensation through legitimate verification methods.

Many Indian employers still use last drawn salary as a reference point to determine a new offer. This makes previous compensation an anchor in salary negotiations, which is why fake salary claims can directly affect offer amounts.

Fake salary proofs can damage compensation planning, increase cost per hire, create pay-band distortion, weaken trust in recruitment processes, and lead to bad hires that are expensive to replace.

HR teams can reduce salary fraud by verifying salary documents before finalising offers, conducting employment checks, using trusted background verification partners, and relying more on role-based compensation than self-declared past pay.

Millow helps employers detect manipulated salary documents, verify actual employment and compensation details, and identify discrepancies before candidates are hired. This helps HR teams avoid overpaying based on false information.

Many experts believe employers should rely less on previous salary and more on role value, market benchmarks, and candidate capability. But if companies do ask for salary history, they should verify it thoroughly.

Until next time,

Kay, HR Jobs Hub