Onsemi authenticity verification

Onsemi Authenticity Verification

Power semiconductors and automotive-grade electronic components have become primary targets for counterfeit activity as global demand for electric vehicles, industrial automation systems, renewable energy infrastructure, and advanced power management solutions continues to expand. Among the manufacturers most frequently encountered in counterfeit investigations, Onsemi occupies a particularly important position due to its extensive portfolio of power devices, sensors, image processors, analog ICs, and automotive semiconductors.

The consequences of installing counterfeit Onsemi components extend far beyond component-level failure. In power conversion systems, motor drives, battery management platforms, and automotive control units, even minor deviations in electrical performance can trigger thermal instability, efficiency losses, unexpected shutdowns, or long-term reliability degradation. Consequently, authenticity verification has become an essential element of semiconductor quality assurance and supply-chain risk management.

Why Onsemi Components Are Frequently Counterfeited

Counterfeiters typically target products that combine strong market demand, high replacement costs, extended service lifecycles, and recurring supply constraints.

Several Onsemi product families fit these criteria:

Product FamilyCounterfeit Risk Level
Automotive Power MOSFETsVery High
IGBTsVery High
SiC Power DevicesVery High
PMICsHigh
Automotive Image SensorsHigh
Gate DriversHigh
Analog Signal ICsMedium
Interface DevicesMedium

Power semiconductors are particularly attractive targets because even a small variation in die size or process technology can dramatically alter current handling capability, thermal performance, and long-term reliability while remaining difficult to detect through basic functional testing.

Market disruptions often amplify the risk. Historical procurement data shows that counterfeit incidents rise significantly when lead times exceed 40–60 weeks or when end-of-life (EOL) products remain in demand despite limited availability.

Counterfeit Pathways in the Semiconductor Market

Authenticity verification becomes more effective when procurement teams understand how counterfeit devices enter distribution channels.

Recycled Semiconductor Components

The most frequently encountered counterfeit category consists of reclaimed components removed from previously assembled electronic equipment.

Common recovery sources include:

  • Industrial motor drives

  • Telecommunications systems

  • Automotive control modules

  • Consumer electronics

Following removal, components undergo refurbishment processes including:

  • Solder removal

  • Surface polishing

  • Package resurfacing

  • Lead replating

  • Re-marking

The resulting device may appear visually new despite extensive prior field usage.

Re-Marked Devices

Re-marking involves altering package information to increase market value.

Examples include:

  • Standard-temperature devices relabeled as automotive-grade components

  • Lower-current MOSFETs relabeled as higher-current variants

  • Earlier silicon revisions relabeled as newer production lots

Such modifications create a disconnect between package markings and actual device capability.

Silicon Substitution

In more sophisticated counterfeit operations, counterfeiters install alternative dies inside packages designed to resemble authentic products.

Although basic functionality may be preserved, critical parameters often deviate significantly from manufacturer specifications.

Mixed-Lot Counterfeiting

One of the most challenging scenarios occurs when authentic and counterfeit components are intentionally mixed within the same shipment.

This strategy reduces the effectiveness of limited sampling inspections and increases the need for structured risk-based verification programs.

Visual Inspection and External Authentication

Visual inspection remains the first screening stage in most semiconductor authentication procedures.

While visual inspection alone cannot establish authenticity, it frequently identifies anomalies that justify deeper investigation.

Package Marking Analysis

Authentic Onsemi devices generally exhibit:

  • Uniform laser-marking depth

  • Consistent font geometry

  • Precise logo positioning

  • Accurate date-code formatting

Potential counterfeit indicators include:

ObservationPossible Interpretation
Uneven marking depthRe-marking
Blurred charactersInk printing
Surface discolorationResurfacing
Font inconsistenciesCounterfeit labeling
Missing mold identifiersPackage alteration

Microscopic inspection between 50× and 200× magnification often reveals traces of original markings hidden beneath resurfaced package material.

Surface Texture Evaluation

Authentic package surfaces exhibit highly consistent molding characteristics.

Inspection typically evaluates:

  • Surface roughness

  • Reflectivity

  • Mold texture uniformity

  • Coating consistency

Counterfeit packages frequently display sanding marks, coating irregularities, or polishing artifacts that differ from manufacturer standards.

Lead and Terminal Inspection

Lead condition often provides some of the strongest evidence regarding component history.

Evidence of Prior Installation

Inspectors commonly evaluate:

  • Residual solder

  • Mechanical scratches

  • Lead deformation

  • Coplanarity irregularities

These indicators frequently suggest previous assembly and removal operations.

Replating Identification

Counterfeiters often replate leads to improve appearance and solderability.

Potential indicators include:

  • Uneven plating thickness

  • Color inconsistencies

  • Edge buildup

  • Surface blistering

Scanning Electron Microscopy (SEM) is frequently employed to confirm suspected replating activities.

Documentation and Traceability Verification

Physical inspection must be complemented by documentation review.

Date Code Correlation

Inspectors compare:

  • Device markings

  • Reel labels

  • Moisture barrier bags

  • Shipping records

Any inconsistency may indicate unauthorized repackaging or inventory manipulation.

Traceability Assessment

Authentic semiconductor supply chains generally provide traceability covering:

Verification AreaPurpose
Wafer fabricationSource validation
Assembly siteManufacturing confirmation
Distribution pathChain-of-custody verification
Storage historyEnvironmental compliance

Missing or incomplete traceability significantly increases procurement risk.

X-Ray Inspection of Internal Structures

X-ray analysis is among the most effective non-destructive verification tools available.

Die Size Authentication

Authentic Onsemi devices exhibit highly repeatable die dimensions within manufacturing tolerances.

Inspection focuses on:

  • Die area

  • Die placement

  • Bond pad configuration

  • Internal package geometry

A die-size deviation exceeding approximately 10–15% frequently indicates silicon substitution.

Wire Bond Verification

Original Onsemi products generally exhibit highly consistent wire-bond structures.

Counterfeit indicators include:

  • Missing bond wires

  • Irregular routing

  • Different bond counts

  • Abnormal loop profiles

Such discrepancies often reveal cloned or refurbished components.

Package Construction Analysis

Additional evaluation targets include:

  • Lead-frame architecture

  • Die attach integrity

  • Structural symmetry

  • Internal void formation

Construction anomalies frequently indicate unauthorized manufacturing processes.

Electrical Characterization Procedures

Visual inspection identifies suspicion; electrical characterization provides confirmation.

Static Parameter Testing

Measurements commonly include:

  • Leakage current

  • Threshold voltage

  • Supply current

  • Reference accuracy

  • On-resistance

Example comparison for a power MOSFET:

ParameterGenuine DeviceCounterfeit Device
RDS(on)3.8 mΩ7.9 mΩ
Leakage Current2 μA24 μA
Threshold Voltage2.2 V3.4 V

These differences directly affect efficiency and thermal behavior.

Dynamic Switching Analysis

Power devices frequently undergo testing of:

  • Turn-on delay

  • Turn-off delay

  • Switching losses

  • Gate charge

  • Reverse recovery characteristics

Counterfeit devices often fail to replicate genuine dynamic performance.

Current Stress Testing

Power semiconductors are particularly sensitive to current-handling capability.

Verification may involve:

  • Continuous current testing

  • Pulsed current testing

  • Safe Operating Area (SOA) validation

  • Avalanche energy assessment

Substituted silicon frequently demonstrates reduced performance under high-load conditions.

Thermal Performance Verification

Many counterfeit devices reveal deficiencies only when subjected to elevated temperatures.

Temperature Characterization

Testing commonly occurs at:

TemperatureVerification Purpose
-40°CCold-start validation
25°CBaseline measurement
85°CIndustrial qualification
125°CAutomotive verification
150°CPower device stress testing

Counterfeit devices frequently exhibit excessive parameter drift and reduced thermal stability.

Thermal Resistance Evaluation

Power semiconductor authentication often includes measurement of:

  • Junction-to-case thermal resistance

  • Junction-to-ambient thermal resistance

  • Thermal impedance curves

Differences between authentic and counterfeit devices frequently become apparent under thermal stress.

Decapsulation and Die Authentication

When non-destructive methods remain inconclusive, forensic laboratories proceed with decapsulation.

The package material is chemically or mechanically removed to expose the silicon die.

Die Marking Verification

Authentic Onsemi dies often contain:

  • Manufacturer identifiers

  • Revision information

  • Internal tracking codes

  • Process references

Comparison against known-good references provides a highly reliable authenticity indicator.

Metallization Pattern Analysis

Investigators examine:

  • Routing architecture

  • Bond pad configuration

  • Metal-layer topology

  • Device geometry

Counterfeit discoveries often reveal silicon layouts that differ substantially from authentic production designs.

Material Analysis Techniques

Advanced investigations may include material characterization.

Surface Chemistry Evaluation

Techniques commonly employed include:

  • FTIR spectroscopy

  • EDS analysis

  • XPS analysis

These methods help identify resurfacing compounds and unauthorized coatings.

Lead Finish Characterization

Verification may include comparison of:

  • Tin concentration

  • Nickel layer thickness

  • Plating composition

  • Surface contamination levels

Material inconsistencies frequently indicate refurbishment activities.

Risk-Based Verification Framework

Many organizations now employ quantitative risk-scoring models to prioritize inspection resources.

Procurement Risk Matrix

Risk FactorWeight
Supplier Qualification30%
Product Lifecycle Status20%
Market Shortage Severity20%
Traceability Quality15%
Physical Inspection Results15%

Risk Classification

ScoreCategory
0–30Low Risk
31–60Moderate Risk
61–80High Risk
81–100Critical Risk

Automotive power devices, SiC semiconductors, and obsolete industrial components frequently require the highest level of verification.

Case Study: Counterfeit Onsemi MOSFETs in EV Charging Equipment

A manufacturer of DC fast-charging systems experienced elevated failure rates within a newly released charging platform.

The affected design incorporated Onsemi power MOSFETs sourced through a secondary market supplier during a period of extended lead times.

Field Symptoms

Engineers observed:

  • Unexpected overheating

  • Reduced conversion efficiency

  • Premature power-stage failures

Initial functional testing detected no significant abnormalities.

Investigation Findings

Visual inspection identified:

  • Slight package resurfacing indicators

  • Inconsistent lead-finish characteristics

X-ray analysis revealed:

  • Die dimensions approximately 22% smaller than authentic reference samples

Electrical testing produced the following results:

ParameterGenuine DeviceSuspect Device
RDS(on)3.8 mΩ8.2 mΩ
Leakage Current2 μA29 μA
Junction Temperature Rise100% Baseline148%

Decapsulation subsequently confirmed that the internal die architecture differed substantially from authentic Onsemi production.

Financial Impact

Cost CategoryEstimated Loss
Product Returns$175,000
Field Service Costs$120,000
Engineering Investigation$48,000
Customer Compensation$165,000

Total losses exceeded $508,000.

The cost of comprehensive authenticity verification represented less than 2% of the resulting financial exposure.

Multi-Layer Authentication Strategy

Organizations operating mature quality systems rarely depend on a single verification method.

Level 1 Screening

  • Documentation review

  • Packaging inspection

  • Marking verification

Level 2 Laboratory Evaluation

  • X-ray inspection

  • Electrical characterization

  • Solderability testing

Level 3 Forensic Analysis

  • Decapsulation

  • Die authentication

  • Material analysis

  • Failure analysis

Combining these inspection layers significantly improves counterfeit detection effectiveness.

Quality Assurance and Supply Chain Support

Preventing counterfeit Onsemi components from entering production requires a combination of advanced technical verification capabilities and disciplined supply-chain management. Companies sourcing power semiconductors, automotive ICs, sensors, PMICs, and industrial devices should partner with suppliers capable of providing full traceability, laboratory-grade testing, and documented quality-control procedures.

SEMI supports customers worldwide with sourcing solutions for active, obsolete, end-of-life (EOL), and hard-to-find Onsemi semiconductor products. Through rigorous supplier qualification, incoming inspection programs, X-ray analysis, electrical characterization, decapsulation services, counterfeit risk assessment, and traceability verification, component authenticity can be evaluated before inventory enters manufacturing operations.

Additional services include BOM matching support, shortage sourcing solutions, alternative component recommendations, inventory planning, lifecycle management, and customized quality-control programs for automotive, industrial, renewable energy, telecommunications, and embedded-system applications. By combining semiconductor sourcing expertise with comprehensive verification methodologies, procurement risk can be significantly reduced while ensuring long-term supply reliability.

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