What is a digital
twin?
A digital twin is a virtual model or replica of a physical
object, system or process. It’s like a digital mirror, allowing us
to simulate, monitor and predict the behavior of real-world
entities in real-time.
These virtual counterparts are designed to
pull data from physical sensors or inputs, providing a
continuous feedback loop that helps with analysis, optimization and
decision-making.
Digital twins can represent almost anything, from machinery in
a manufacturing plant to human behavior or entire cities.
In industries like healthcare, automotive, manufacturing and
urban planning, digital twins allow for better resource management,
predictive maintenance and more accurate simulations before
physical changes are made. In essence, they help prevent costly
mistakes by modeling complex systems in the virtual world before
implementing them in the real world.

Digital twins have taken on a darker role in the blockchain and
cryptocurrency sectors. Cybercriminals use digital twin technology
rather than simulating physical objects to create synthetic
identities, replicas of real individuals, often derived from stolen
data. These digital copies are then used to infiltrate online
communities, impersonate influencers or executives, or manipulate
systems for financial gain.
How cybercriminals
weaponize digital twins to scam crypto users
In the crypto world, where anonymity and trustless
transactions reign supreme, digital twins have emerged as a potent
tool for cybercriminals to exploit. Scammers can take advantage of
the
decentralized, unregulated nature of crypto platforms to
perpetrate these frauds.

Here’s a deeper look at how scammers weaponize digital
twins:
- Identity cloning: Cybercriminals gather
personal data from social media, data breaches and other online
sources to create a highly accurate digital twin of a real person.
This might include images, voice recordings, writing style and even
behavioral patterns. Once the digital twin is created, it can be
used to
impersonate individuals and gain trust from others in the
crypto community.
- Fake influencers or advisers: Crypto
influencers, who often command significant trust and attention, are
prime targets for digital twin scams. By replicating their speech
patterns, mannerisms and even generating deepfake videos, scammers
can pose as trusted personalities in the space. These fake versions
may promote fraudulent investment schemes, fake tokens or
manipulate users into sending crypto to scam wallets.
- Synthetic KYC (Know Your Customer) scams: Some
digital twins are created to bypass
KYC processes on exchanges or
decentralized finance (DeFi) platforms. Attackers can generate
fake identities and provide forged documents or images to appear
legitimate, gaining access to accounts or executing unauthorized
transactions. This can enable criminals to launder stolen funds or
impersonate legitimate traders.
- Phishing with personalization:
Phishing scams in the crypto space often target individuals
with highly personalized messages. When a scammer creates a digital
twin of a known figure, they can tailor their communications to
appear more convincing. By using these personalized messages, they
trick victims into clicking on malicious links, giving away
private keys or downloading harmful software.
Did you know? In 2023, a Hong Kong finance
employee was tricked into
transferring $25 million after joining a video call with what
turned out to be deepfake versions of their colleagues, generated
using publicly available footage.
Examples of digital
twin-related scams in crypto
While digital twin scams in crypto might sound futuristic,
they’re already happening, and AI is a big part of the problem.
These scams don’t always rely on evil digital twins alone; many use
deepfake videos, AI-generated profiles and hallucinated interfaces
to deceive users.
Here are some real-world examples:
- Deepfake CEO scam defrauds chief financial officer via
video call: In a sophisticated attack, scammers created
digital avatars of a company’s CEO and executives using publicly
available video materials. They conducted a video call with the
company’s chief financial officer, convincing him to transfer funds
under false pretenses. The digital twins were so convincing that
the executive did not suspect foul play during the call.
- UI spoofing mimics trusted crypto platforms:
Cybercriminals have employed UI
spoofing to create near-perfect replicas of legitimate
cryptocurrency platforms. These counterfeit interfaces trick users
into entering sensitive information or making transactions,
believing they are interacting with the real platform. The high
fidelity of these digital twins makes them particularly dangerous,
as they can bypass traditional security measures.
- AdmiralsFX scam uses deepfakes to lure
investors: A large-scale scam operated by a call center in
Tbilisi, Georgia, used
deepfake videos of celebrities to promote a fraudulent
cryptocurrency investment platform called AdmiralsFX. Victims were
shown AI-generated videos of public figures endorsing the platform,
leading them to invest substantial amounts of money. The operation
defrauded over 6,000 individuals, highlighting the potent
combination of deepfake technology and social engineering.
How to spot interactions
with evil digital twins: 6 Red flags
Digital twin scams rely on sophisticated impersonation
techniques, and scammers often use synthetic identities to build
trust and manipulate their targets.
To help you stay alert, here are six red flags that can help you
identify interactions with synthetic identities. Watch for these
warning signs to protect yourself from falling victim to fraud.

Digital twin scams in crypto often hide behind polished,
AI-generated responses that sound perfect but lack authenticity. If
someone avoids live video calls and instead offers pre-recorded
clips or deepfakes, be skeptical. Real people show up.
Scammers frequently use urgency, pushing you to act fast with
phrases like “limited offer” to bypass your judgment. One major red
flag is receiving unverified crypto requests via DMs — legit
professionals don’t do that. Always check profiles for
inconsistencies like low follower counts or recent creation
dates.
Finally, be wary if someone insists on sticking to one platform
and refuses to switch to secure or verified channels. These tactics
combined often signal a coordinated scam using digital twin or AI
deception.
Did you know? Unlike traditional
simulations, digital twins are dynamic virtual environments powered
by real-time data. While a simulation models one process, a digital
twin can run multiple simulations at once, constantly learning and
adapting through a live feedback loop.
Can blockchain help
prevent digital twin-powered crypto scams?
While blockchain technology is often targeted by
cybercriminals due to its decentralized and pseudonymous nature, it
also holds the potential to offer powerful solutions for combating
digital twin-based scams.
Blockchain, with its transparent and immutable features,
provides unique tools that can help verify identities and secure
transactions, making it harder for scammers to manipulate the
system. Leveraging blockchain’s capabilities introduces robust
security layers that verify the legitimacy of interactions, helping
reduce fraud, identity theft and digital impersonation.
- Onchain identity verification: One of the most
important developments in blockchain technology is the concept of
decentralized identity (DID). With DID, individuals can verify
their identity on the blockchain without relying on centralized
authorities. This ensures that scammers cannot create synthetic
identities without being detected. Blockchain provides a
transparent, secure and verifiable system for managing identities,
reducing the risk of impersonation.
- NFT identity markers: Some platforms use
non-fungible tokens (NFT) as a form of digital identity. NFTs
are unique and traceable on the blockchain, which makes it much
harder to clone someone’s identity. If you’re engaging with a
person who has a verified NFT identity, you can be more confident
that they are who they claim to be.
- Immutable audit trails: Every transaction on
the blockchain is permanently recorded and timestamped. This means
that if someone tries to impersonate another person or create a
fraudulent identity, their actions leave a trace. If a synthetic
identity is used to scam individuals, the blockchain’s audit trail
can help authorities track the perpetrator.
- Smart contract protections:
Smart contracts on blockchain can be used to implement certain
safeguards. For instance, smart contracts can include identity
verification processes, ensuring that transactions aren’t processed
unless the user’s identity is verified. This can help prevent users
from sending crypto to scammers using fake identities.
While not a silver bullet, blockchain can significantly
strengthen trust and security in increasingly AI-powered digital
environments.
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