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About us Facia empowers businesses globally with with its cutting edge fastest liveness detection
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ABOUT US
Facia is the world's most accurate liveness & deepfake detection solution.
Facial Recognition
Face Recognition Face biometric analysis enabling face matching and face identification.
Photo ID Matching Match photos with ID documents to verify face similarity.
(1:N) Face Search Find a probe image in a large database of images to get matches.
DeepFake
Deepfake Detection New Find if you're dealing with a real or AI-generated image/video.
Detect E-Meeting Deepfakes Instantly detect deepfakes during online video conferencing meetings.
Liveness
Liveness Detection Prevent identity fraud with our fastest active and passive liveness detection.
Single Image Liveness New Detect if an image was captured from a live person or is fabricated.
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Age Verification Estimate age fast and secure through facial features analysis.
Iris Recognition All-round hardware & software solutions for iris recognition applications.
Complete playbook to understand liveness detection industry.
Read to know all about liveness detection industry.
Industries
Retail Access loyalty benefits instantly with facial recognition, no physical cards.
Governments Ensure countrywide security with centralised face recognition services
Dating Apps Secure dating platforms by allowing real & authentic profiles only.
Event Management Secure premises and manage entry with innovative event management solutions.
Gambling Estimate age and confirm your customers are legitimate.
KYC Onboarding Prevent identity spoofing with a frictionless authentication process.
Banking & Financial Prevent financial fraud and onboard new customers with ease.
Contact Liveness Experts To evaluate your integration options.
Use Cases
Account De-Duplication (1:N) Find & eliminate duplicate accounts with our face search.
Access Control Implement identity & access management using face authorization.
Attendance System Implement an automated attendance process with face-based check-ins.
Surveillance Solutions Monitor & identify vulnerable entities via 1:N face search.
Immigration Automation Say goodbye to long queues with facial recognition immigration technology.
Detect E-Meeting Deepfakes New Instantly detect deepfakes during online video conferencing meetings.
Pay with Face Authorize payments using face instead of leak-able pins and passwords.
Facial Recognition Ticketing Enter designated venues simply using your face as the authorized ticket.
Passwordless Authentication Authenticate yourself securely without ever having to remember a password again.
Meeting Deepfake Detection
Know if the person you’re talking to is real or not.
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Press Release Most important updates about our activities, our people, and our solution.
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Knowledge Base Get to know the basic terms of facial biometrics industry.
Most important updates about our activities, our people, and our solution.
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In This Post
Organizations face challenges in the evolving cybersecurity landscape, and a famous threat that draws everyone’s attention is an “impersonation attack”. These strikes leverage deceptive tactics and compromise user-sensitive information.
Scammers impersonate brands – a valuable asset, by using their names and putting many organizations at financial and reputational risks. Cybercriminals use text messages, mobile apps, phoney websites, voicemails, bogus emails, and social media pages in these attacks. All designed to deceive people into revealing login credentials and money transfers. Recently, a finance worker paid $25 million to a scammer, believing him to be the CFO of a multinational firm based in Hong Kong.
An impersonation attack is a cybercrime where attackers deceive victims by pretending to be someone they’re not, often a trusted individual, colleague, or business partner. The goal is to trick victims into revealing sensitive confidential information like login credentials, financial data, or other confidential company information.
Scammers use whaling, business email compromise, and CEO fraud to deceive high-level executives in any firm. These attacks are specifically designed to take benefit from human errors, so combatting an impersonation attack needs robust security policies.
Impersonation attacks are illegal as they deceive or manipulate people to take advantage of them. According to Chapter 43, Title 18 of the US Criminal Code, the following attacks claim to be illegal:
Simultaneously, Section 403, Chapter C-46 of Canada’s Criminal Code declares it unlawful to impersonate someone to gain advantage or property- whether they’re dead or alive.
Criminal impersonation- when a scammer impersonates a victim to deceive others. The primary purpose behind this is to cause harm to the people, waste resources, and damage their reputation.
Impersonation and identity theft are different, yet closely related. In identity theft, scammers steal someone’s identity and then use it to pretend to be them. Impersonation comes under identity theft, and their punishment is the same everywhere.
For instance, identity theft is when thieves steal someone’s purse and use their debit card. Not everyone tries to take someone’s identity for evil reasons. However, impersonators are always criminals, they just don’t steal identity, but also someone’s company and write their own name on the business license.
Online impersonation attacks are very damaging and can be easily carried out, relying on the data type that scammers try to acquire. Attackers gather complete information about a user to gain their secured information. Sometimes, scammers target people through emails that contain links that send malware into a victim’s system.
Whaling is another method that steals the identity of the owner or manager. It involves sending direct emails to employees and requiring them to transfer money. Scammers benefit from this situation as many workers follow instructions without investigation.
Firstly, scammers gather victim information from publicly available data on the organisation’s website and social media profiles. Then, they use this data to make a realistic profile and start interacting with targeted company employees. A hacker sends any text message or email through a fake business phone number or email matching the firm’s actual number or mail. Employees are hurrying to complete their tasks, ignoring clear differences between real and fake ones.
For example,
[email protected]
The difference is clear between these two emails, but employees overlook this when they get hundreds of business emails per day. Hackers send emails that seem to be from authentic sources but usually contain links to fake websites that ask for sensitive information and need immediate action from the employee, such as downloading files. These files and websites are embedded with malware attacks that allow scammers to access company information easily.
The following are some common tactics through which scammers try to impersonate victims:
A scammer creates a fake website that looks exactly like the company’s site. Rather than ending with .net or .org, their domains end with .com. Attackers send fake emails from this URL and then hack their systems when users click on a link.
Scammers use an email address similar to the one targeted. By using this tactic, they easily convince people to download malware and visit malicious websites, accessing their sensitive information, including credit card numbers and passwords.
Rather than sending malware with a similar mail address or domain ending with .com, scammers send emails with a sender address that looks authentic, like a company. For example, [email protected]. Scammers can easily hack through this tactic, as this can bypass many filters.
It’s an email spoofing that pushes people to believe a message was sent by someone other than its source. Scammers modify the “sender” area in an email header to incorporate an email address rather than the original one who delivered the message. They usually alter the “Return-Path” or “From” fields or sometimes both. These attacks aim to ensure that any close friend or business associate sends an email to deceive the receiver, opening the mail of someone they know.
Fraudsters hack company employee accounts and send emails to other employees in the company. They seem like an employee with specific authority or knowledge to impersonate their colleagues.
In an MITM attack, a scammer secretly intervenes and sometimes alters the discussion between two parties, who believe that they are directly talking with each other. The purpose is to impersonate one party and steal sensitive information such as login details and credentials.
Fraudsters impersonate organization CEOs and convince employees to share their sensitive information by using social engineering techniques, including phone calls and phishing emails. Scammer ensures owners that they are calling from the firm’s IT department by using specific language to look real.
Impersonation in the marketplace can be prevented through two procedures. Firstly, they require all related parties to provide proof of their authenticity. Secondly, they ensure all parties know how to classify marketplace communication and authentic platforms from wrong ones. The following are strategies to restrict impersonators.
Restricting impersonators starts with discovering and blocking scammers when they log in at any marketplace. Face verification standards, including biometrics or liveness detection, ensure that users are legitimate. Those who don’t prove their identity must be kept out of the space.
Organizations should make secure policies so both clients and employees know when they deal with real people. Firms should use domain management systems to restrict fake websites, which must be related to the social media account in conversations or link to the official website. They must analyse social networks that impersonate the employees, and it’s a marketplace. Encourage employees and clients to set strong social media account passwords and change them frequently. Companies must monitor the app stores to remove fake apps claiming to be them and use a specific email domain for effective corporate dealings.
Both clients and firm employees must know how to identify and handle impersonators under the following conditions:
Companies must remind employees and customers about their dos and dont’s over effective communication channels.
Firms must use proactive threat intelligence and biometrics to detect different impersonation attacks and scan emails before reaching the user. Biometric systems usually cross-match email content with registered phishing attempts.
Restricting online impersonation attacks is essential to secure firms from threats in the current dynamic cybersecurity landscape. Facia helps in mitigating these attacks by implementing strategies and advanced features including face verification and liveness detection, providing an extra security layer. Important components of a robust security system are multiple authentication factors, encryption, and continuous monitoring.
Facia incorporates AI-driven software, improving the firm’s ability to respond to and detect evolving online impersonation attacks. Train employees regarding suspicious URLs, requests, and emails, allowing for real-time identification or analysis of possible risks. By leveraging Facia, firms can significantly improve overall safety and can minimise the potential risk of becoming victims of impersonation crimes.
Want to combat impersonation attacks? Try Facia’s free trial
Preventing impersonation attacks involves several key strategies: Investing in strong email security with robust spam filters and authentication protocols (like DMARC, DKIM, SPF), employee training on recognizing and handling impersonation attempts, implementing multi-factor authentication (MFA) for an added security layer, and establishing verification processes for unusual financial requests or transactions.
To detect impersonation attacks, closely scrutinize emails for misspellings, unusual addresses, and odd language, utilize technical tools like spam filters, anti-phishing software, and email authentication for suspicious activity analysis, and be wary of requests that seem out-of-character or pressurize bypassing standard procedures.
Impersonation attacks pose significant dangers, including financial loss through fraudulent payments, data theft of sensitive information or credentials, the spread of malware through malicious links or attachments, and potential reputation damage to brands and erosion of trust.
An example of impersonation is a phishing email that masquerades as being from a trusted entity, like your bank, urging you to verify your account by clicking a link and entering your login details, which leads to a counterfeit website designed to steal your information.
Impersonation attacks vary widely, including email impersonation where attackers disguise emails to appear legitimate, CEO Fraud (BEC) targeting employees by impersonating executives, website spoofing that creates fake websites to capture sensitive data, and social media impersonation involving fake profiles to deceive users into divulging personal information or clicking malicious links.
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