OSINT in Banking: Detecting Fraud with Modern Tools

Table of Contents

loan fraud

Introduction

Fraud detection and risk assessment are critical for the banking sector, especially during high-stakes decisions like loan approvals or extensions. With evolving regulatory requirements and sophisticated fraud schemes, banks need innovative tools to navigate these challenges. This article highlights the pivotal role of Open Source Intelligence (OSINT) and investigative profiler tools in banking, based on a workshop by ESPY experts held at HSBC’s facility in collaboration with its KYC investigators.

The case study underscores how OSINT-driven tools streamline investigations, uncover hidden risks, and enhance compliance efforts, offering actionable insights to prevent financial crimes.


Workshop Insights: Enhancing KYC with OSINT

Case Study Overview

During the workshop, the team explored a real-world scenario involving a customer seeking a loan extension from HSBC. The loan was initially approved for renovating a boutique hotel in Seychelles. The customer cited delays and personal contributions as reasons for requesting a payment extension.

To evaluate the legitimacy of this claim, HSBC’s investigators worked alongside ESPY experts, using an advanced OSINT profiler tool. Their task was to validate the customer’s credentials and claims, leveraging cutting-edge investigative software alongside traditional methods.


The Investigative Process

Initial Data Collection

The investigation began by gathering essential details:

  • Official Records: Passport data including name, address, nationality, and relationships.
  •  
  • Contact Details: Email addresses and phone numbers.
  • Business Links: Ownership records and company affiliations.

The profiler tool also used facial recognition to match the customer’s passport photo with images on various platforms, initiating a deeper dive into the individual’s digital footprint.


Key Findings Through OSINT

Expanding the Contact Web

The profiler identified four additional phone numbers linked to the customer, with connections spanning:

  • Russia
  • Seychelles
  • Singapore
  • Germany

Each number was analyzed, exposing links to various personas and networks.

Social Media Connections

Social network analysis revealed two active profiles:

  • Facebook: Although partially private, the tool identified the individual’s membership in groups related to gambling, luxury cars, and a pro-Russian campaign, raising compliance concerns.
  • VKontakte (VK): Provided historical data on connections and affiliations.

Unveiling Hidden Profiles

Facial recognition algorithms unearthed an older profile on Odnoklassniki under a different name, showing the individual’s birthplace as Novosibirsk, Russia. This conflicted with the passport data indicating Moscow, prompting a compliance red flag.


Behavioral and Financial Analysis

Suspicious Spending

Loan records and social media images suggested that the customer used some funds for a luxury vacation in Nice, France, shortly after the loan was approved, rather than exclusively for renovations.

Sanctioned Entity Link

Further investigation revealed that the customer held a 20% stake in a company flagged for violating international sanctions by trading electronics between Russia and Taiwan. This discovery posed significant compliance risks for HSBC under international law.


Results and Time Efficiency

OSINT vs. Traditional Investigation

  • OSINT Tool: The profiler completed its investigation in 5 hours, uncovering multiple fraudulent indicators.
  • Manual Methods: HSBC’s team spent 18 hours but missed critical findings, including links to sanctioned entities and misuse of funds.

This comparison demonstrated the power of OSINT tools in fraud detection, saving time while delivering superior insights.


Decision and Outcome

The profiler’s findings led HSBC to deny the loan extension. Key insights included:

  1. Evidence of loan misuse for personal expenditures.
  2. False claims regarding the renovation timeline.
  3. Association with a sanctioned company, violating compliance laws.

This decision safeguarded HSBC from potential financial losses and regulatory penalties, emphasizing the importance of robust risk management tools.


Broader Impact on Banking

Modernizing KYC and AML

This case highlights how OSINT tools can redefine KYC processes by:

  • Accelerating fraud detection through machine learning and pattern recognition.
  • Providing a comprehensive view of customer behavior and affiliations.
  • Strengthening compliance with anti-money laundering (AML) standards.

Operational Advantages

Faster Investigations

Automation significantly reduces the time required for due diligence, freeing resources for other critical tasks.

Enhanced Risk Mitigation

Flagging anomalies early prevents financial losses, protecting both the institution and its customers.


Conclusion

The workshop by ESPY experts at HSBC showcased how OSINT tools revolutionize investigative techniques in banking. These tools provide financial institutions with the ability to uncover hidden risks, improve compliance, and ensure data integrity.

With fraud schemes becoming more sophisticated, adopting OSINT-driven solutions is vital for safeguarding operations, protecting reputations, and staying ahead of emerging threats.

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