Jul 5, 2021
Facial spoofing: what it is, how to prevent it and spoofing detection solutions
Identity fraud and Anti Spoofing
Identity fraud on the Internet is a practice that has been growing in recent years. It refers to the various techniques used to pretend to be someone else and commit a crime or fraud, usually linked to money laundering. Although many Spoofing techniques are done through e-mail or a computer, there are techniques that are less known by the general public and by companies, but more dangerous, such as the so-called Facial Spoofing, which consists of imitating or using a person’s face to pretend to be that person and trying to trick the facial biometric identification control systems.
However, the development of technology and solutions linked to cybersecurity has given rise to what is known as Anti Spoofing. By definition, Anti Spoofing is a spoofing detection technique that blocks and alerts the relevant authorities or entities to protect the rights of users and the companies they interact with on a daily basis, such as their bank, mobile phone company or insurance company.
What facial spoofing is and how to prevent attacks?
The increase in cyber-attacks and words such as phishing, or deepfake, leads us to wonder what exactly facial spoofing is, how it is carried out and how we can protect ourselves from these attacks.
Facial Spoofing: definition
Facial spoofing is the act of using a person’s face and simulating their facial biometrics with the use of a photo or video to supplant their identity. Although it can be used to commit various activities related to money laundering, facial spoofing is most used to commit a crime linked to bank identity fraud.
How facial spoofing is performed
Identity spoofing, especially in online environments, has increased significantly in recent years and is mostly used to create a bank account or to apply for a loan, in the case of companies in the financial sector.
Identity fraud to open an online bank account is carried out using programmed videos, photos/selfies or even masks. However, these tricks should not pass the mandatory phishing detection checks in all processes of onboarding new users or signing contracts, loans or contracting new services.
How to prevent Facial Spoofing attacks
When onboarding new customers, every company follows a process called KYC (Know Your Customer) to verify the identity of its customers and authenticate that they are who they claim to be.
When this is done physically, an agent or salesperson checks the data on the identity document with the identity of the person presenting it, but when this process is taken to the online environment, a Digital Onboarding is carried out. Today, such processes are fully automated and comply with the strictest Anti-Money Laundering (AML) regulations. Therefore, a company or institution can perform the same processes online and remotely as in the physical environment.
If you want to learn more about eKYC procedures, download this guide.
Identity Proofing and Anti Spoofing
Proof of life is part of the Identity Proofing process and serves to verify and authenticate a person’s identity. Nowadays, this process can be carried out in two ways:
- Face-to-face proof of identity: By showing an identity document (ID card, passport, etc.).
- Digital proof of life: By means of an online identity verification process. This process is crucial in companies in the financial sector to avoid bank identity fraud.
Online proof of life through video streaming is the safest and most effective method to detect identity spoofing for different reasons:
- To certify that the person is not being forced and the integrity of the data.
- To detect deepfakes.
- To avoid the use of selfies and images that do not comply with KYC and AML regulations.
- It can be done by facial biometric identification, a method even more secure than face-to-face.
SmileID, the technological solution to Spoofing
Specialists in video identification, identity verification authentication and e-signatures solutions, Electronic IDentification’s SmileID solution is the most complete and advanced solution on the market for detecting identity spoofing. Based on Artificial Intelligence (AI) and Machine Learning, SmileID bases its facial identification system on data obtained by streaming video identification, with VideoID, and integrates different anti-spoofing filters.
Once the previous biometric comparison or proof-of-life tests have been passed, this filter runs in real time on all the video frames that VideoID analyzes and ensures that the person in front of the camera is really who he/she claims to be and is in full capacity.
Request a free demo of SmileID’s Anti Spoofing solutions now!