Investigators highlight urgent need for stronger protection tools as artificial intelligence driven deception targets investors
A major cybercrime investigation has uncovered a large scale investment scam that used advanced artificial intelligence generated deepfake videos to target unsuspecting investors.
The scheme succeeded by exploiting trusted advertising access inside a well known digital advertising firm, allowing the content to circulate widely on social media platforms before detection.
Authorities stated that several senior employees of the firm allegedly assisted foreign operators by providing them with privileged advertising access normally reserved for trusted business partners. This privileged status allowed the fraudulent advertisements to pass through automated filters with limited scrutiny.
Deepfake Videos Used to Mislead Viewers
Investigators reported that the scam relied heavily on highly realistic videos created using advanced artificial intelligence tools. These videos imitated well known financial commentators and business presenters with remarkable accuracy. The videos reproduced the tone, expressions and speaking style of real experts, convincing many viewers that they were watching authentic financial advice.
The deepfake videos promoted a fake investment scheme. Once viewers clicked on the advertisements, they were directed to messaging groups controlled by foreign handlers. Victims were shown fabricated dashboards and manipulated profit screenshots to create the impression of guaranteed profits. People were encouraged to deposit money into unrelated accounts and were later blocked or ignored when they asked for withdrawals.
The scammers vanished after collecting large sums of money.
How the Scam Avoided Detection
Investigators discovered that the foreign group did not interact directly with the advertising platform. Instead, they used the access of a domestic advertising agency that had been granted privileged advertiser status. This status provided quicker approvals, larger spending limits and minimal manual checks.
When the platform eventually raised alerts about suspicious activity, the individuals involved rapidly increased the number of advertising accounts to stay ahead of enforcement measures. Even after several accounts were blocked, the operation briefly shifted through another foreign intermediary.
The Foreign Network Behind the Operation
The supposed client presented itself as an entity located in a respected global business center. Investigators later found that the technical infrastructure was actually based in a different country. The financial pattern matched earlier international cybercrime operations, suggesting the involvement of a larger foreign network.
The structure followed a common strategy:
- A clean front company in a respected location
- Fraud infrastructure based in another region
- Abuse of domestic advertising trust to appear legitimate
This multi step process allowed the fraud to continue undetected for a considerable period.
Role of Domestic Employees
Authorities reported that several employees of the advertising firm knowingly provided access to the foreign operators. They allegedly assisted in running the paid campaigns and even expanded the operation after the platform flagged irregularities. Some accounts belonging to former employees were still active and were misused as part of the operation.
Official sources indicated that the employees received payment for facilitating the scam.
A New Level of Digital Deception
Experts believe this is the first major case in the region where deepfake video was used at such scale in a financial fraud scheme. Earlier scams typically relied on voice imitation, fake chats or manipulated screenshots. This case introduced a new danger: complete video based impersonation distributed through trusted advertising channels.
This marks a shift in cybercrime:
- From text based deception to full video impersonation
- From targeted messages to large scale paid promotions
- From suspicious foreign accounts to trusted domestic identities
This evolution increases the difficulty of detection for both users and platforms.
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