Gather Victim Identity Information - AI Security Technique
AI Security TechniqueAdversaries may gather information about the victim's identity that can be used during targeting. Information about identities may include a variety of details, including personal data (ex: employee names, email addresses, photos, etc.) as well as sensitive details such as credentials or multi-factor authentication (MFA) configurations. Adversaries may gather this information in various ways, such as direct elicit...
Overview
A source-backed snapshot of this AI security technique.
Adversaries may gather information about the victim's identity that can be used during targeting. Information about identities may include a variety of details, including personal data (ex: employee names, email addresses, photos, etc.) as well as sensitive details such as credentials or multi-factor authentication (MFA) configurations.
Adversaries may gather this information in various ways, such as direct elicitation, Search Victim-Owned Websites, or via leaked information on the black market.
Adversaries may use the gathered victim data to Create Deepfakes and impersonate them in a convincing manner. This may create opportunities for adversaries to Establish Accounts under the impersonated identity, or allow them to perform convincing Phishing attacks.
Technique details
Identifiers, maturity, and source taxonomy for this technique.
- ATLAS ID
- AML.T0087
- Maturity
- realized
- ATT&CK external ID
- T1589
- Priority score
- 60
Attack flow
How to read the public records connected to this technique.
Impact
Why this technique may deserve attention in the current dataset.
- Evidence levelrealized
- Mapped defenses0 ATLAS mitigation records
- Public examples3 linked case study records
- Research risks0 related MIT AI Risk records above the confidence threshold
- Vulnerabilities0 linked CVE records
Mitigations
Defenses that may help against this attack.
Case studies
Examples from public reports and exercises.
ProKYC: Deepfake Tool for Account Fraud Attacks
Cato CTRL security researchers have identified ProKYC, a deepfake tool being sold to cybercriminals as a method to bypass Know Your Customer (KYC) verification on financial service applications such as cryptocurrency exchanges. ProKYC can create fake identity documents and generate deepfake selfie videos, two key pieces of biometric data used during KYC verification. The tool helps cybercriminals defeat facial recognition and liveness checks to create fraudulent accounts.
The procedure below describes how a bad actor could use ProKYC’s service to bypass KYC verification.
Live Deepfake Image Injection to Evade Mobile KYC Verification
Facial biometric authentication services are commonly used by mobile applications for user onboarding, authentication, and identity verification for KYC requirements. The iProov Red Team demonstrated a face-swapped imagery injection attack that can successfully evade live facial recognition authentication models along with both passive and active liveness verification on mobile devices. By executing this kind of attack, adversaries could gain access to privileged systems of a victim or create fake personas to create fake accounts on banking or cryptocurrency apps.
Camera Hijack Attack on Facial Recognition System
This type of camera hijack attack can evade the traditional live facial recognition authentication model and enable access to privileged systems and victim impersonation.
Two individuals in China used this attack to gain access to the local government's tax system. They created a fake shell company and sent invoices via tax system to supposed clients. The individuals started this scheme in 2018 and were able to fraudulently collect $77 million.
Source evidence
Original public records and references for this page.
Original source
Original source links
Open the public records and source datasets used for this page.