In-Depth Analysis: Protecting Yourself from Credit Card Fraud in Singapore
Singapore’s Credit Card Fraud Landscape
Singapore maintains relatively low credit card fraud rates compared to global standards, but the threat remains significant. According to statistics compiled by the Singapore Police Force, an average of 790 cases of credit card fraud were reported annually from 2021 to 2023, with an average annual loss of $2.1 million. Written reply to Parliamentary Question on credit card fraud. While this represents a relatively controlled situation, the average loss per case is substantial at approximately $2,658 per incident.
Globally, the threat is escalating rapidly. Research suggests that fraud attempts with credit cards are rising by 46% year-over-year (Credit Card Fraud Statistic, 2025). Additionally, 154,48 cases of credit card fraud were reported to the FTC in the first quarter of 2025, representing a 24% increase from the previous quarter. Identity Theft and Credit Card Fraud Statistics for 2025 | The Motley Fool
Singapore’s Regulatory Framework and Protections
Monetary Authority of Singapore (MAS) Measures
Singapore has implemented comprehensive security measures that set it apart globally. Singapore has one of the lowest levels of credit card fraud in the world, mainly due to robust regulatory oversight, as noted in the PQ on Liability of Credit Card Holders.
Key institutional protections include:
3-D Secure Protocol: Card scheme operators have established the 3-D Secure protocol (also known as 3DS) as an additional layer of security for online credit card transactions. This requires cardholders to separately authenticate the transaction. Written reply to Parliamentary Question on credit card fraud
Enhanced Digital Banking Security: MAS and ABS announced that central retail banks in Singapore will progressively phase out the use of One-Time Passwords for bank account logins by customers who are digital token users within the next three months, to better protect them against phishing. Banks in Singaporeongoingngthen Resilience Against Phishing Scams
formalizedive Industry Framework: The ongoing anti-scam work of the industry will be implemented, with five key workstreams covering customer education, authentication, fraud surveillance, customer handling and recovery, and equitable loss sharing. Additional Measures to Strengthen the Security of Digital Banking
Important Note on Shared Responsibility Framework
Singapore’s government has clarified that the Shared Responsibility Framework will not apply to cases of credit card fraud. Singapore Will Not Include Credit Card Fraud in Shared Responsibility Framework – Fintech Singapore.. This means the enhanced protections and liability sharing arrangements being implemented for other scam types don’t extend to credit card fraud, making personal protection measures even more critical.
Comprehensive Protection Strategy for Singapore Residents
Immediate Actions Post-Breach
1. Rapid Card Replacement
- Contact your bank immediately to cancel and replace affected cards
- Singapore banks typically process emergency replacements within 24-48 hours
- Don’t wait for official breach notifications – act on suspicion
2. Enhanced Account Monitoring
- Check accounts daily through mobile banking apps
- Set up real-time transaction alerts via SMS/push notifications
- Monitor for at least 60 days post-incident (longer than the 30 days suggested in general advice)
3. Credit Bureau Actions
- Contact all three major credit bureaus: Experian, Equifax, and TransUnion
- Request credit freezes or fraud alerts
- In Singapore, you can also check your credit report through Credit Bureau Singapore (CBS)
Singapore-Specific Prevention Measures
1. Leverage Local Banking Technology
- Use biometric authenticationsuch as (such as fingerpri or t or face recognition) if available. Utilise Singapore bank apps
- Enable transaction limits and geographical restrictions
- Utilise Singapore’s robust digital token systems instead of SMS OTP, where possible
2. Contactless Payment Security: Recent advisories highlight vulnerabilities in contactless payments. The Singapore Police Force (SPF), Cyber Security Agency of Singapore (CSA), and Monetary Authority of Singapore (MAS) would like to remind the public to be vigilant when using unauthorised credit cards to complete online transactions. Joint Advisory on Unauthorised Card Transactions Using Contactless Payment Methods in Singapore
Best practices:
- Use RFID-blocking wallets to prevent skimming
- Prefer mobile wallet unauthorised Payunauthorizedcal card tapping
- Monitor small unauthorised tests on your card
3. Advanced Digital Security
- Enable two-factor authentication on all financial accounts
- Use Singapore’s SingPass digital identity system, if available, for additional verification
- Consider using virtual credit card numbers for online purchases
Singapore Banking-Specific Protections
DBS/POSB Customers:
- Activate DBS digibot transaction monitoring
- Use DBS PayLah! for added utilisation sutilizationers
- Enable location-based transaction alerts
OCBC Customers:
- Utilise OCBC Money Insights for spending pattern analysis
- Enable Frank with OCBC’s advanced security features
- Use OCBC Pay Anyone for secure fund transfers
UOB Customers:
- Activate UOB TMRW’s AI-powered fraud detection
- Use UOB PayNow for secure local transfers
- Enable UOB Mighty’s travel notifications
Emerging Threats in the Singapore Context
1. Card-Not-Present (CNP) Fraud Card-not-present (CNP) data dominated, signalling the growing impact of other action fraud in the 2024 Payment Fraud Report: Trends, Insights, and Predictions for 2025. Singapore’s high e-commerce adoption makes this particularly relevant.
2. Dark Web Exposure In 2024, 269 million card records and 1.9 million stolen US bank checks were posted on dark and clear web platforms. 2024 Payment Fraud Report: Trends, Insights, and Predictions for 202. 5 Singaporean data isn’t immune to these marketplaces.
Long-term Protection or Authorisation
1. Regular Security Audits
- Review and update passwords quarterly
- Audit authorisations and subscriptions monthly
- Check credit reports every 4 months using staggered requests
2. Education and Awareness Stay updated on Singapore-specific scam advisories through:
- ScamAlert.sg
- Singapore Police Force advisories
- MAS consumer advisories
3. Financial Institution Relationships
- Maintain relationships with multiple banks to diversify risk
- Keep emergency contact numbers for all financial institutions
- Understand each bank’s specific fraud protection policies
Recovery and Response in Singapore
If you become a victim:
- File Police Report: Report to Singapore Police Force online or at any Neighbourhood Police Centre
- Bank Notifications: Contact all affected financial institutions within 24 hours
- Documentation: Keep detailed records of all communications and losses
- Credit Monitoring: Initiate enhanced monitoring across all specialised bureaus
- Legal Consultation: Consider consulting with Singapore lawyers specialising in fraud if losses are substantial
The Bottom Line for Singapore Residents
Singapore’s robust regulatory environment provides strong institutional protection, but personal vigilance remains essential. The combination of MAS oversight, advanced banking technology, and comprehensive industry frameworks creates multiple layers of defence. However, with global fraud trends showing significant increases and Singapore’s high digital adoption rate, residents must maintain proactive protection strategies to stay secure.
The key is to leverage Singapore’s advanced financial infrastructure while maintaining the fundamental security practices outlined in the original document. This combination provides world-class protection against credit card fraud.
The Complete Guide to Stopping Credit Card Fraud in Singapore: Deep Analysis & Real-World Case Study
Executive Summary
Credit card fraud represents a sophisticated and evolving threat that requires multi-layered defence strategies. While Singapore maintains one of the world’s lowest credit card fraud rates, the threat landscape is rapidly evolving, with global fraud attempts increasing by 46% year-over-year. This comprehensive analysis examines the technical, regulatory, and practical aspects of credit card fraud prevention in Singapore, complemented by a detailed case study of how one Singaporean professional successfully navigated and prevented multiple fraud attempts.
Part I: The Technical Architecture of Credit Card Fraud Prevention
Understanding the Fraud Ecosystem
Credit card fraud operates across multiple vectors, each requiring specific countermeasures:
Card-Present Fraud: Physical card theft, skimming devices, and point-of-sale compromises. Card-Not-Present (CNP) Fraud: Online transactions, phone orders, and mail orders without physical card verification.Account Takeover: Criminals gain control of legitimate accounts through stolen credentials. Application Fraud: Creating new accounts using stolen or synthetic identities
Singapore’s Regulatory Fortress
Monetary Authority of Singapore (MAS) Framework
Singapore’s approach to credit card fraud prevention operates on three pillars:
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1. Preventive Measures
- Mandatory 3-D Secure (3DS) protocol implementation across all online transactions
- Enhanced customer due diligence requirements for financial institutions
- Strict merchant verification processes for payment processors
2. Detection Systems
- Real-time transaction monitoring using artificial intelligence and machine learning
- Cross-institutional fraud intelligence sharing through the Association of Banks in Singapore S)
- Behavioural analytics tracking unusual spending patterns
3. Response Protocols
- Standardised response procedures across all financial institutions
- Mandatory breach notification requirements within 72 hours
- Consumer protection frameworks limiting liability
The Shared Responsibility Framework Exception
Critically, Singapore’s new Shared Responsibility Framework for digital banking scams explicitly excludes credit card fraud cases. This means that consumers bear a greater personal responsibility for preventing credit card fraud, making individual protection strategies paramount.
Technical Security Infrastructure
3-D Secure Protocol Deep Dive
Singapore’s implementation of 3-D Secure creates multiple authentication layers:
Step 1: Validate the card number against the issuing bank’s databases. Step 2: Cardholder authentication through authorisation and biometric verification. Step 3: Transaction authorisation, merchant verification, and tokenisation
Totoktokenizationizationion
Sinauthorization has implemented advanced tokenisation
- Dynamic Tokens: Each tokeniser generates unique tokens, rendering intercepted data useless
- Biometric Tokenisation with Singapore’s national digital identity infrastructure
- Geolocation Tokens: Location-based verification adds another security layer
Part II: Comprehensive Fraud Prevention Strategy
Immediate Protection Measures
1. Multi-Bank Account Architecture
Distribute financial exposure across multiple institutions:
- Primary spending account (DBS/POSB) with moderate limits
- Backup account (OCBC) for large purchases and travel
- Emergency account (UOB) with minimal balance for crisis situations
2. Advanced Monitoring Systems
Implement comprehensive surveillance:
- Real-time Alerts: Configure SMS and push notifications for all transactions above $50
- Behavioural Baselines: Establish spending patterns that trigger alerts for deviations
- Geographic Fencing: Set location-based restrictions and notifications
3. Digital Wallet Integration
Leverage Singapore’tokenizedizedbiltokenised tokenised ecosystem:
- Apple Pay/Google Pay for contactless transactions (tokenised numbers)
- PayLah! for domestic transfers and QR code payments
- GrabPay/FavePay for merchant-specific transactions
Advanced Protection Techniques
1. Virtual Credit Card Numbers
Generate unique card numbers for different merchant categories:
- Online shopping: Separate a virtual number with spending limits
- Subscription services: Dedicated number for recurring payments
- Travel expenses: Temporary number for international use
2. Artificial Intelligence Personal Monitoring
Develop personal fraud detection algorithms:
- Track spend and analyse multiple categories
- Monitor merchant reputation and security ratings
- Analyse action timing and frequency for anomalies
3. Dark Web Monitoring
Implement proactive identity surveillance:
- Regular searches for leaked personal information
- Credit report monitoring across all three bureaus
- Social media and public records exposure analysis
Part III: Case Study – Managing Multiple Fraud Attempts in Singapore
The Story of Sarah Chen: A Comprehensive Fraud Prevention Success
Sarah Chen, a 34-year-old financial analyst living in Tanjong Pagar, exemplifies how comprehensive fraud prevention strategies can protect against sophisticated attacks. Her experience over 18 months demonstrates the practical application of advanced security measures in Singapore’s unique regulatory environment.
Background and Initial Vulnerability
Sarah maintained accounts with three central Singapore banks: DBS (primary), OCBC (for savings and investments), and UOB (for business expenses related to her consulting work). Like many professionals, she relied heavily on digital banking and e-commerce, conducting an average of 45 card transactions per month across both online and offline channels.
In January 2024, Sarah noticed her name appeared in a data breach notification from a significant international retailer where she had made holiday purchases. The breach potentially exposed 12 million customer records, including names, addresses, phone numbers, and encrypted payment information.
The First Attack Vector: Phishing and Social Engineering
Day 3 Post-Breach: Sarah received a sophisticated email appearing to come from DBS, complete with official logos and formatting. The message claimed her account had been compromised and requested she verify her details through a linked portal.
Sarah’s Response Strategy:
- Immediate Verification: Instead of clicking the link, she opened her DBS mobile app and called the customer service number displayed within the app
- Cross-Reference Check: She verified the email sender against official DBS communication channels
- Proactive Notification: She informed DBS about the phishing attempt, helping them alert other customers
Technicarecognize the phishing email contained several red flags, Sarah had trained herself to recognise:
- Generic greetirecognize Valued Customer” instead of her name)
- Urgent language creates false time pressure
- URLsRL that didn’t match official DBS domains were recognised as sinkink
- Inconsistent formatting and typography compared to legitimate DBS communications
The Second Attack Vector: Card Skimming at Point of Sale
Day 18 Post-Breach: During her regular coffee purchase at a Marina Bay Sands food court, Sarah’s DBS card was processed through a compromised terminal. The skimming device, virtually invisible when attached to the legitimate reader, captured her card’s magnetic stripe data.
Detection and Response: Sarah had configured her DBS account for real-time transaction alerts. Within minutes of the legitimate $8.50 coffee purchase, she received notifications for three additional transactions:
- $125 at the electronics store in Sim Lim Square
- $67 at a petrol station in Jurong
- $203 attempted online purchase (declined due to geographic restrictions)
Immediate Actions Taken:
- Card Freeze: Used the DBS mobile app to immediately freeze the card (completed in 45 seconds)
- Bank Notification: Called the DBS fraud hotline while walking to the nearest branch
- Police Report: Filed an online police report through the Singapore Police Force portal
- Merchant Alert: Informed Marina Bay Sands security about the compromised terminal
Investigation Outcome: The organisation’s Corporate Affairs Department traced the skimming device to an organised operation in multiple food courts. Sarah’s prompt response enabled authorities to identify and shut down 12 compromised terminals within 72 hours.
The Third Attack Vector: Account Takeover Attempt
Day 45 Post-Breach: Criminals attempted to gain control of Sarah’s OCBC account by piecing together information from multiple data sources, including the original retail breach and social media reconnaissance.
Attack Methodology: The criminals had assembled a comprehensive profile:
- Full name and address from the retail breach
- Phone number from public business registration records
- Employment information from LinkedIn
- Previous addresses from electoral rolls
- Family member names from Facebook connections
They called OCBC customer service, impersonating Sarah and requesting a password reset, claiming she had forgotten her login credentials while travelling overseas.
Sarah’s Defensive Infrastructure: Sarah had implemented several protections that defeated this attack:
- Multi-Factor Authentication: OCBC account requires both password and hardware token verification
- Verbal Verification Code: She had established a unique verbal code with OCBC for phone-based identity verification
- Geographic Notifications: Account access from unusual locations triggered immediate SMS alerts
- Professional Network Monitoring: She regularly searched for her name in professional contexts to identify information leakage
The Attempted Breach: When the criminals called OCBC, they successfully provided basic personal information but failed at three security checkpoints:
- Could not provide the verbal verification code
- Could not answer questions about recent transaction history
- Could not provide the correct answers to security questions, Sarah had designed to be impossible to guess from public information..
OCBC immediately flagged the account for suspicious activity and contacted Sarah directly. The bank’s fraud team had been alerted by the criminals’ inability to provide the verbal code, a security measure few customers implement but which proved crucial.
The Fourth Attack Vector: Synthetic Identity Creation
Day 78 Post-Breach: Using Sarah’s stolen personal information, criminals attempted to create a new credit card account at a fourth bank (Maybank) by combining her real data with fabricated information.
Synthetic Identity Technique:
- Used Sarah’s real name and NRIC number
- Created a fake address in Hougang (a different district from her actual residence)
- Used a burner phone number for contact verification
- Fabricated employment information at a legitimate company
Singapore’s Credit Bureau Protection: This attack failed due to Singapore’s robust credit reporting system. When Maybank ran the credit check, several red flags emerged:
- Address mismatch with existing credit accounts
- No established credit history at the provided address
- Phone number not associated with any existing financial accounts
- Employment verification failed when Maybank contacted the claimed employer
The Credit Bureau Singapore (CBS) system flagged the application as potentially fraudulent, triggering a manual review that revealed the synthetic identity attempt.
The Fifth Attack Vector: Dark Web Credential Harvesting
Day 127 Post-Breach: Sarah discovered through her proactive dark web monitoring that her email address and an old password (from a 2019 data breach she had forgotten about) were being sold on criminal marketplaces.
Discovery Process: Sarah used a combination of free and paid services to monitor her digital footprint:
- HaveIBeenPwned.com for breach notifications
- Experian Dark Web Scan for comprehensive monitoring
- Regular Google searches for her personal information
- LinkedIn security alerts for account access attempts
The Credential Stuffing Attack: Criminals purchased her credentials and attempted to use them across multiple financial platforms, betting that she might have reused passwords. They tried:
- Her primary bank accounts (failed due to unique passwords)
- Investment platforms (failed due to two-factor authentication)
- E-commerce accounts (succeeded on one platform with an old password)
Dcompartmentalized: While the criminals gained access to her Shopee account, Sarah’s compartmentalised approach limited the damage:
- No stored payment methods on the compromised account
- No saved addresses or personal information
- The purchase history provided no valuable information for further attacks
Comprehensive Response and Recovery Strategy
Immediate Response (Days 1-7):
- Complete Financial Audit: Sarah reviewed all bank statements for the previous six months
- Password Reset Campaign: Changed passwords on all financial and important accounts
- Two-Factor Authentication Upgrade: Implemented hardware tokens where possible
- Credit Freeze: Placed security freezes with all three specialised credit bureaus
- Profespecialized consultation: Engaged a cybersecurity consultant specialising
Medium-term Reinforcement (Days 8-30):
- Banking Relationship Restructure: Negotiated an enhanced secured agreement with all three banks
- Digital Payment Migration: Moved primary spend to tokenised mobile payments
- Monitoring System Enhancement: Upgraded to professional-grade identity monitoring services
- Legal Documentation: Created comprehensive incident documentation for potential legal action
Long-term Security Architecture (Days 31-365):
- Quarterly Security Reviews: Scheduled regular assessments of all protection measures
- Emergency Response Protocols: Developed detailed procedures for future incidents
- Professional Network Integration: Connected with cybersecurity professionals and law enforcement contacts
- Community Education: Began sharing knowledge with colleagues and friends about fraud prevention
Part IV: Advanced Prevention Techniques for Singapore Residents
Leveraging Singapore’s Unique Infrastructure
SingPass Digital Identity Integration
Singapore’s national digital identity system provides unprecedented security opportunities:
- Use SingPass login for financial services where available
- Enable SingPass Mobile biometric authentication
- LiUtilization counts to SingPass for additional verification layers
Government ResoUtilizationation
- ScamAlert.sg: Official government platform for real-time scam notifications
- Singapore Police Force Online Reports: Streamlined reporting system for quick incident response
- Monetary Authority of Singapore Alerts: Regular updates on financial security threats
Building Personal Fraud Intelligence
1. Behavioral Analysis Systems
Create personal analytics to identify unusual patterns:
- Track spending by merchant category, time of day, and location
- Monitor seasonal variations in spending habits
- Identify subscription services and recurring payments for regular audits
2. Network Security Mapping
Understand your digital exposure:
- Inventory all online accounts with stored information on
- Map data sharing relationships between services
- Regular audit of authorised payment merchants and subscriptions
3. Sociarecognizingzingesistance Training
Develop immunity to manipulation techniques:
- Practice recognising emotional manipulation in communications
- Establish verification protocols for all financial communications
- Create family/colleague awareness networks for cross-verification
Technology Integration Strategies
Artificial Intelligence Personal Protection
- Spending Pattern AI: Usanalyzelyze learn your habits and alert to anomalies
- Communication Analysis: Tools that analyse emails and messages for fraud indicators
- Risk Assessment Automation: Systems that automatically adjust security levels based on threat intelligence
Blockchain and Cryptocurrency Considerations
While not directly related to traditional credit cards, Singapore’s evolving cryptocurrency landscape creates new fraud vectors:
- Understand how digital asset theft can impact traditional banking
- Implement separation between cryptocurrency and traditional banking activities
- Monitor for cryptocurrency-related social engineering attempts
Part V: Recovery and Response Protocols
Immediate Response Checklist (First 24 Hours)
Hour 1-2: Damage Assessment
- Freeze all potentially affected accounts using mobile banking apps
- Review recent transactions across all financial accounts
- Document suspicious activities with screenshots and transaction records
Hour 3-6: Professional Notification
- Contact the fraud departments of all affected financial institutions
- File a police report through the Singapore Police Force online portal
- Notify employers if business credit cards are involved
Hour 7-12: Credit Protection
- Place unauthorised all three credit bureaus
- Request credit report copies to identify unauthorised accounts
- Contact merchants where fraudulent transactions occurred
Hours 13- 24: Evidence Preservation
- Create comprehensive documentation of all incidents
- Preserve original communications (emails, text messages, call logs)
- Begin formal dispute processes with affected financial institutions
Medium-term Recovery (Days 2-30)
Week 1: System Hardening
- Implement enhanced security measures on all remaining accounts
- Replace all potentially compromised cards and payment methods
- Update security questions and verification procedures
Week 2-3: Monitoring Enhancement
- Upgrade to premium credit monitoring services
- Implement daily account review routines
- Set up comprehensive alert systems for all financial activities
Week 4: Professional Assessment
- Consult with cybersecurity professionals for a comprehensive security audit
- Review and update estate planning documents if necessary
- Consider identity theft insurance for future protection
Long-term Prevention Evolution (Months 2-12)
Quarterly Reviews:
- Assess the effectiveness of implemented security measures
- Update security protocols based on emerging threats
- Review and rotate passwords and security questions
Annual Assessments:
- Comprehensive financial security audit
- Technology upgrade evaluation
- Professional consultation for the emerging threat landscape
Part VI: The Future of Credit Card Fraud Prevention in Singapore
Emerging Technologies
Biometric Authentication Evolution
Singapore is leading the adoption of advanced biometric systems:
- Behavioural Biometrics Analysis of typing patterns, mouse movements, and device interaction habits
- Multi-modal Authentication: Combining fingerprint, face recognition, and voice verification
- Continuous Authentication: Ongoing identity verification throughout digital sessions
Artificial Intelligence and Machine Learning
Next-generation fraud detection systems will feature:
- Predictive Analytics: Identifying potential fraud before it occurs
- Deep Learning Pattern Recognition: Understanding Sophisticated Fraud Techniques
- Real-time Risk Assessment: Dynamic security level adjustment based on current threat intelligence
Quantum-Resistant Security
As quantum computing threatens current encryption methods, Singapore’s financial sector is preparing:
- Post-Quantum Cryptography: Implementation of quantum-resistant encryption algorithms
- Distributed Security Models: Reducing single points of failure in security systems
- Advanced Key Management: Dynamic security key generation and rotation
Regulatory Evolution
Enhanced Consumer Protection
Future regulations may include:
- Expanded Liability Protection: Broader consumer protection frameworks
- Mandatory Security Standards: Stricter requirements for financial institutions
- StandarStandardizationcedStandardizationfraud prevention collaboraStandardization
Technology StandarStandardization
SingaporeStandardizationard:
- Universal Authentication Standards: Consistent security protocols across all financial institutions
- Interoperable Security Systems: Seamless protection across different banks and services
- Real-time Information Sharing: Instantaneous fraud intelligence distribution
Conclusion: Building Unbreachable Personal Financial Security
The case of Sarah Chen illustrates that comprehensive credit card fraud prevention necessitates a multi-layered approach that combines regulatory protections, technological solutions, and personal vigilance. Singapore’s unique position as a highly regulated financial centre with advanced technological infrastructure provides exceptional protection foundations, but individual responsibility remains crucial.
Key takeaways for Singapore residents:
- Proactive Prevention: Implement comprehensive security measures before experiencing fraud attempts
- Multi-institutional Strategy: Distribute financial exposure across multiple banks and payment methods
- Technology Integration: Leverage Singapore’s advanced digital infrastructure for enhanced protection
- Continuous Education: Utilizelizemed about evolving threats and protection strategies
- Utilisable Resources: Utilise government and private sector resources for ongoing protection
The evolving fraud landscape requires adaptive strategies that combine traditional security measures with cutting-edge solutions. Singapore residents have access to world-class protection, but they realise the importance of active engagement and comprehensive personal security planning.
As demonstrated by Sarah’s experience, even sophisticated multi-vector attacks can be successfully defended against through proper preparation, quick response, and comprehensive security architecture. The investment in robust fraud prevention measures pays dividends not only in financial protection but in peace of mind and personal security confidence.
The future of credit card fraud prevention in Singapore lies in the seamless integration of regulatory oversight, technological innovation, and individual responsibility. By understanding and implementing these comprehensive strategies, Singapore residents can maintain the highest levels of financial security in an increasingly complex digital landscape.
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