Spoofing facial recognition: what it is, how to prevent it and solutions to detect phishing

Identity theft and anti-spoofing

The Identity theft on the Internet Has increased significantly in recent years. This refers to the various techniques used to impersonate another person and commit crimes, usually related to money laundering. Although many spoofing attacks occur via email or computer, there are techniques that are less well known to the public and businesses, but are very dangerous. This includes the so-called Facial Spoofing, in which a person’s face is imitated or used to impersonate them, in an attempt to identify their Control systems for biometric facial recognition to outsmart.

The development of technologies and solutions in the field of cybersecurity had the so-called Anti-spoofing as a result. By definition, anti-spoofing is a technique used to detection of identity theft, alerting the relevant authorities or institutions and blocking accesses to protect the rights of users and companies they interact with on a daily basis, such as banks, mobile operators or insurance companies.

What is facial spoofing and how can attacks be prevented

The increase in cyberattacks and methods such as Phishing or Deepfake leads us to wonder what Facial spoofing Is exactly how it is carried out and how we can protect ourselves from it.

Facial spoofing: definition

Face spoofing involves imitating a person by using their face and simulating their facial biometrics using a photo or video. Although it can be used for a variety of activities related to money laundering Facial spoofing frequently used for crimes related to Identity theft in banking transactions uses.

How facial spoofing works

Identity theft, especially on the Internet, has increased dramatically in recent years and is used especially by companies in the financial sector to open a bank account or apply for a loan.

Identity theft, Also called phishing, to open an online bank account is done using edited videos, photos/selfies or even masks. However, these attacks may not be used in prescribed Phishing detection controls go undetected in any process of onboarding new users or signing contracts, loans, or contracting new services.

How to prevent spoofing facial recognition

When enrolling new users, each company follows a process called KYC (Know Your Customer) to verify the identity of customers and authenticate that they really are who they say they are.

When this is done physically, an employee or vendor verifies the data on the identification document with the identity of the person presenting it. If this verification is moved to the online environment, it is Digital Onboarding. Today, such processes are fully automated and comply with the strictest anti-money laundering (AML) guidelines. This allows a company or institution to perform the same checks remotely and online, as in a physical environment.

The Identification by facial biometrics is undoubtedly one of the safest methods that the Face-to-face identification even surpassed during the online registration of a new customer. All companies that use this eKYC process need to establish secure and reliable onboarding processes. In addition, they must comply with national and European legislation on money laundering and terrorist financing (AML and CFT).

Proof of life and anti-spoofing

The proof of life is part of the identity proofing and is used to verify and authenticate a person’s identity. Today, this process can be done in two ways:

  • Personal proof of identity: Showing an identification document (ID card, passport…).
  • Digital Identity Verification: Through a Online identity verification. This process is crucial in companies in the financial sector in order to Identity theft in banking transactions to avoid.

The proof of life conducted online via video streaming is from various reasons to make it the most secure and effective method of Identity Theft Detection:

  • Ensuring that the person is not coerced and that the data is accurate. are detected.
  • The use of Selfies and pictures that don’t meet KYC and AML regulations correspond, is prevented.
  • The process involves biometric facial recognition, a method that is even more secure than personal identification.

SmileID, the technological solution to protect against spoofing

As an expert in biometric facial recognition, Identity verification and authentication solutions developed Electronic IDentification SmileID, the most comprehensive and advanced solution on the market to provide Identity theft detection. Based on artificial intelligence (AI) and machine learning (ML), SmileID bases its facial recognition system on data collected through a streaming video identification called VideoID obtained, and also integrates various anti-spoofing filters for.

Following the successful completion of the biometric matching or of the Proof of Life, this filter runs in real time on all frames of the video. These are analyzed by VideoID, ensuring that the person in front of the camera is really who they claim to be, and that they are fully capable of doing business.

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