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A stablecoin’s rise in market share has ignited the ‘Second Great Stablecoin War’

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Since Binance announced it would auto-convert USDC, USDP and TUSD into BUSD on Sept. 6, BUSD’s share of the total stablecoin market has risen from 10.01% to 15.48%.

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Coin Market

Free speech and online privacy: Pavel Durov's rise to the top

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Telegram founder and free speech advocate Pavel Durov was born on Oct. 10, 1984, in St. Petersburg, Russia, and demonstrated an early knack for computer science, culminating in the entrepreneur establishing several successful online social media platforms.

While studying at Saint Petersburg State University, Durov became inspired by the success of the Facebook social media site and its founder, Mark Zuckerberg — eventually starting the social media platform VKontakte (VK) in 2006.

VK is a platform similar to Facebook but geared toward Russian speakers, and it is one of the largest social media platforms in the world.

A picture of Pavel Durov as a teenager. Source: Cointelegraph

The meteoric growth of the platform eventually attracted the attention of state regulators, who pressured the company to censor the platform and comply with government requests to provide user information.

Durov refused to comply with these requests out of a principled stance on freedom of speech, online expression, and user privacy, which caused the tech founder to be ousted from the company he started in 2014.

However, the tech founder was already hard at work on his next venture before departing VK, a messaging platform that has become a household name in crypto — Telegram.

Related: TON Society celebrates Pavel Durov leaving France as free speech win

Pavel and his brother Nikolai Durov launch Telegram

The Durov brothers launched Telegram in 2013. Since then, the platform has garnered over 950 million users worldwide due to its privacy-enhancing technology, which encrypts messages end to end.

Telegram also has robust features that include decentralized web surfing, a torrent of mini-apps and games.

The platform also has a symbiotic relationship with The Open Network (TON) — a separate blockchain network that has become a staple for users of the messaging application.

The Telegram founder discussing messaging applications at TechCrunch’s Disrupt conference. Source: TechCrunch

According to Forbes, the Telegram founder has a net worth of $17.1 billion as of March 16, 2025 — mainly through his ownership of Telegram.

In March 2024, the entrepreneur announced that Telegram was nearing profitability and was considering an initial public offering to become a publicly traded company.

Pavel Durov is known for advocating individual freedoms, which is reflected in Telegram’s approach. In a January 2025 post, Durov wrote:

“I am proud that Telegram has supported freedom of speech long before it became politically safe to do so. Our values don’t depend on US electoral cycles.”

The Telegram founder’s libertarian ethos, commitment to free speech, and privacy eventually put the entrepreneur in the crosshairs of the French government.

Pavel Durov arrested in France amid cries of politically-motivated censorship

Pavel Durov was arrested in France on Aug. 24, 2024, due to a lack of content moderation on Telegram, and subsequently charged by French prosecutors with complicity with illegal activities and refusal to communicate with authorities.

Durov speaks with independent news host Tucker Carlson about free speech and privacy shortly before his arrest in August 2024. Source: Tucker Carlson

Shortly after his arrest, the Telegram founder posted bail and was released from custody on the condition that he remain in France during the legal proceedings.

The arrest drew strong reactions from the crypto community and free speech advocates worldwide, who criticized the French government for its actions, expressing concerns about potential pressure on Pavel Durov to modify Telegram’s policies or provide access to its encryption keys.

French President Emmanuel Macron was accused of orchestrating a politically motivated arrest, a claim the French leader denied, which only prompted more backlash from the crypto community.

On March 15, Pavel Durov reportedly left France and headed to Dubai, where Telegram is headquartered, after receiving permission from French law enforcement officials to leave the country.

However, it is unclear how long Durov will remain in Dubai as the global fight for freedom of speech, privacy, and autonomy continues.

Magazine: Did Telegram’s Pavel Durov commit a crime? Crypto lawyers weigh in

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Coin Market

Bitcoin reclaims $80K zone as BNB, TON, GT, ATOM hint at altcoin season

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Bitcoin (BTC) is struggling to break above the 200-day simple moving average ($84,000), but a positive sign is that the bulls have not ceded much ground to the bears. Bitget Research chief analyst Ryan Lee told Cointelegraph that Bitcoin needs to achieve a weekly close above $81,000 to signal resilience. Selling could accelerate if the price plummets below $76,000.

Another cautious voice was that of Markus Thielen, head crypto researcher at 10x Research. Thielen told Cointelegraph that Bitcoin’s chart structure “suggests market indecision rather than a straightforward bullish consolidation.” Thielen remains doubtful of a strong price recovery in Bitcoin at the current juncture.

Crypto market data daily view. Source: Coin360

However, Bitcoin network economist Timothy Peterson has a different view. In an X post, Peterson said that April and October are the two months that generate a large portion of Bitcoin’s annual performance. That suggests Bitcoin could rise to a “new all-time high before June.”

Could buyers drive Bitcoin above the short-term overhead resistance levels? If they do, what other top cryptocurrencies may rally in the near term?

Bitcoin price analysis

The downsloping 20-day exponential moving average ($86,188) suggests that bears are in command, but the positive divergence on the relative strength index (RSI) indicates that the selling pressure is reducing.

BTC/USDT daily chart. Source: Cointelegraph/TradingView

If the price turns down from the current level, the BTC/USDT pair could drop to $80,000 and then to $76,606. 

Contrarily, if the price turns up and breaks above the 20-day EMA, it will signal that the markets have rejected the breakdown below the 200-day SMA. The pair could rally to the 50-day SMA ($93,033) and, after that, to $100,000. Buyers may find it difficult to surpass the psychological barrier at $100,000.

BTC/USDT 4-hour chart. Source: Cointelegraph/TradingView

The 20-EMA on the 4-hour chart is flattening out, and the RSI is just above the midpoint, indicating a balance between supply and demand. Buyers will have to drive the pair above the resistance line to gain the upper hand. The pair may climb to $92,810 and then to $95,000.

The downside support is at $80,000 and next at $78,000. If the supports crack, the possibility of a drop below $76,606 increases. 

BNB price analysis

BNB (BNB) started a recovery from $507 on March 11, which is facing selling at the 50-day SMA ($621).

BNB/USDT daily chart. Source: Cointelegraph/TradingView

The 20-day EMA ($595) is the critical near-term support to watch out for. If the price rebounds off the 20-day EMA, it suggests that the bulls are buying on minor dips. That improves the prospects of a break above the 50-day SMA. The BNB/USDT pair could then rally toward $686.

Contrary to this assumption, if the price turns down and breaks below the 20-day EMA, it will indicate that the bears are fiercely defending the 50-day SMA. The pair may tumble to $550.

BNB/USDT 4-hour chart. Source: Cointelegraph/TradingView

The 20-EMA has turned up on the 4-hour chart, and the RSI is in the positive zone, indicating a bullish sentiment. There is resistance at $632, but if buyers overcome it, the pair could jump to $680.

This optimistic view will be negated in the near term if the price turns down and breaks below the 20-EMA. The pair may dip to the 50-SMA, which is again likely to attract buyers. A break below the 50-SMA will tilt the advantage in favor of the bears.

Toncoin price analysis

Toncoin (TON) rose sharply from $2.35 on March 11 and reached the 50-day SMA ($3.64) on March 16.

TON/USDT daily chart. Source: Cointelegraph/TradingView

The correction from the 50-day SMA is expected to find support at the 20-day EMA ($3.15). If that happens, it will signal a change in sentiment from selling on rallies to buying on dips. That increases the possibility of a rally above the 50-day SMA. The TON/USDT pair could climb to $4 and later to $5.

Contrarily, a break and close below the 20-day EMA suggests that the bears remain active at higher levels. The pair may then drop toward $2.50.

TON/USDT 4-hour chart. Source: Cointelegraph/TradingView

The 4-hour chart shows the up move is facing selling at the $3.60 level, but buyers are expected to defend the 20-EMA on declines. If the price turns up sharply from the 20-EMA, the bulls will try to propel the price above $4.15. If they manage to do that, the pair could jump toward $4.67.

Conversely, if the price turns down and breaks below the 20-EMA, it will signal that the bears remain active at higher levels. The pair may drop to the 50-SMA and subsequently to $2.50.

Related: Toncoin in ‘great entry zone’ as Pavel Durov’s France exit fuels TON price rally

Gate Token price analysis

Gate Token (GT) has formed a symmetrical triangle pattern, indicating indecision between the bulls and the bears.

GT/USDT daily chart. Source: Cointelegraph/TradingView

The 20-day EMA ($21.06) is flattening out, and the RSI has risen to the midpoint, indicating that the selling pressure is reducing. If buyers drive the price above the triangle, it will signal the resumption of the upmove. The GT/USDT pair could climb to $24 and eventually to $26.

If the price continues lower and closes below the 20-day EMA, it will signal that the pair may remain inside the triangle for a while. The bears will be back in command on a break below the triangle.

GT/USDT 4-hour chart. Source: Cointelegraph/TradingView

The 4-hour chart shows that the bears are finding it difficult to maintain the price below the 20-EMA. That suggests demand at lower levels. Buyers will try to strengthen their position by pushing the price above the resistance line. If they do that, the pair could rally toward $24.

Instead, if the price turns down and breaks below the 50-SMA, it will signal that the bullish momentum is weakening. The pair may descend to $19 and eventually to the support line.

Cosmos price analysis

Cosmos (ATOM) broke above the 20-day EMA ($4.31) on March 15, indicating that the selling pressure is reducing.

ATOM/USDT daily chart. Source: Cointelegraph/TradingView

The RSI has formed a positive divergence, suggesting that the bearish momentum is weakening. The 50-day SMA ($4.73) could act as resistance but is likely to be crossed. A close above $5.15 could open the doors for a rally to $6.50.

The 20-day EMA is the crucial support to watch out for on the downside. If this support gives way, it will signal that the bears remain sellers on rallies. That could sink the ATOM/USDT pair to $3.50. 

ATOM/USDT 4-hour chart. Source: Cointelegraph/TradingView

The pair started a pullback in the near term, which could reach the 20-EMA. If the price turns up from the 20-EMA, it will signal a positive sentiment where the bulls are buying on dips. That increases the likelihood of a break above $5.15. If that happens, the pair may surge to $5.50 and then to $6.50.

This positive view will be invalidated in the near term if the price breaks below the 20-EMA. That could sink the pair to the 50-SMA and later to $3.80.

This article does not contain investment advice or recommendations. Every investment and trading move involves risk, and readers should conduct their own research when making a decision.

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Can AI bots steal your crypto? The rise of digital thieves

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What are AI bots?

AI bots are self-learning software that automates and continuously refines crypto cyberattacks, making them more dangerous than traditional hacking methods.

At the heart of today’s AI-driven cybercrime are AI bots — self-learning software programs designed to process vast amounts of data, make independent decisions, and execute complex tasks without human intervention. While these bots have been a game-changer in industries like finance, healthcare and customer service, they have also become a weapon for cybercriminals, particularly in the world of cryptocurrency.

Unlike traditional hacking methods, which require manual effort and technical expertise, AI bots can fully automate attacks, adapt to new cryptocurrency security measures, and even refine their tactics over time. This makes them far more effective than human hackers, who are limited by time, resources and error-prone processes.

Why are AI bots so dangerous?

The biggest threat posed by AI-driven cybercrime is scale. A single hacker attempting to breach a crypto exchange or trick users into handing over their private keys can only do so much. AI bots, however, can launch thousands of attacks simultaneously, refining their techniques as they go.

Speed: AI bots can scan millions of blockchain transactions, smart contracts and websites within minutes, identifying weaknesses in wallets (leading to crypto wallet hacks), decentralized finance (DeFi) protocols and exchanges.Scalability: A human scammer may send phishing emails to a few hundred people. An AI bot can send personalized, perfectly crafted phishing emails to millions in the same time frame.Adaptability: Machine learning allows these bots to improve with every failed attack, making them harder to detect and block.

This ability to automate, adapt and attack at scale has led to a surge in AI-driven crypto fraud, making crypto fraud prevention more critical than ever.

​In October 2024, the X account of Andy Ayrey, developer of the AI bot Truth Terminal, was compromised by hackers. The attackers used Ayrey’s account to promote a fraudulent memecoin named Infinite Backrooms (IB). The malicious campaign led to a rapid surge in IB’s market capitalization, reaching $25 million. Within 45 minutes, the perpetrators liquidated their holdings, securing over $600,000.

How AI-powered bots can steal cryptocurrency assets

AI-powered bots aren’t just automating crypto scams — they’re becoming smarter, more targeted and increasingly hard to spot.

Here are some of the most dangerous types of AI-driven scams currently being used to steal cryptocurrency assets:

1. AI-powered phishing bots

Phishing attacks are nothing new in crypto, but AI has turned them into a far bigger threat. Instead of sloppy emails full of mistakes, today’s AI bots create personalized messages that look exactly like real communications from platforms such as Coinbase or MetaMask. They gather personal information from leaked databases, social media and even blockchain records, making their scams extremely convincing. 

For instance, in early 2024, an AI-driven phishing attack targeted Coinbase users by sending emails about fake cryptocurrency security alerts, ultimately tricking users out of nearly $65 million.

Also, after OpenAI launched GPT-4, scammers created a fake OpenAI token airdrop site to exploit the hype. They sent emails and X posts luring users to “claim” a bogus token — the phishing page closely mirrored OpenAI’s real site​. Victims who took the bait and connected their wallets had all their crypto assets drained automatically.

Unlike old-school phishing, these AI-enhanced scams are polished and targeted, often free of the typos or clumsy wording that is used to give away a phishing scam. Some even deploy AI chatbots posing as customer support representatives for exchanges or wallets, tricking users into divulging private keys or two-factor authentication (2FA) codes under the guise of “verification.”

In 2022, some malware specifically targeted browser-based wallets like MetaMask: a strain called Mars Stealer could sniff out private keys for over 40 different wallet browser extensions and 2FA apps, draining any funds it found. Such malware often spreads via phishing links, fake software downloads or pirated crypto tools.

Once inside your system, it might monitor your clipboard (to swap in the attacker’s address when you copy-paste a wallet address), log your keystrokes, or export your seed phrase files — all without obvious signs.

2. AI-powered exploit-scanning bots

Smart contract vulnerabilities are a hacker’s goldmine, and AI bots are taking advantage faster than ever. These bots continuously scan platforms like Ethereum or BNB Smart Chain, hunting for flaws in newly deployed DeFi projects. As soon as they detect an issue, they exploit it automatically, often within minutes. 

Researchers have demonstrated that AI chatbots, such as those powered by GPT-3, can analyze smart contract code to identify exploitable weaknesses. For instance, Stephen Tong, co-founder of Zellic, showcased an AI chatbot detecting a vulnerability in a smart contract’s “withdraw” function, similar to the flaw exploited in the Fei Protocol attack, which resulted in an $80-million loss. 

3. AI-enhanced brute-force attacks

Brute-force attacks used to take forever, but AI bots have made them dangerously efficient. By analyzing previous password breaches, these bots quickly identify patterns to crack passwords and seed phrases in record time. A 2024 study on desktop cryptocurrency wallets, including Sparrow, Etherwall and Bither, found that weak passwords drastically lower resistance to brute-force attacks, emphasizing that strong, complex passwords are crucial to safeguarding digital assets.

4. Deepfake impersonation bots

Imagine watching a video of a trusted crypto influencer or CEO asking you to invest — but it’s entirely fake. That’s the reality of deepfake scams powered by AI. These bots create ultra-realistic videos and voice recordings, tricking even savvy crypto holders into transferring funds. 

5. Social media botnets

On platforms like X and Telegram, swarms of AI bots push crypto scams at scale. Botnets such as “Fox8” used ChatGPT to generate hundreds of persuasive posts hyping scam tokens and replying to users in real-time.

In one case, scammers abused the names of Elon Musk and ChatGPT to promote a fake crypto giveaway — complete with a deepfaked video of Musk — duping people into sending funds to scammers. 

In 2023, Sophos researchers found crypto romance scammers using ChatGPT to chat with multiple victims at once, making their affectionate messages more convincing and scalable.​

Similarly, Meta reported a sharp uptick in malware and phishing links disguised as ChatGPT or AI tools, often tied to crypto fraud schemes. And in the realm of romance scams, AI is boosting so-called pig butchering operations — long-con scams where fraudsters cultivate relationships and then lure victims into fake crypto investments. A striking case occurred in Hong Kong in 2024: Police busted a criminal ring that defrauded men across Asia of $46 million via an AI-assisted romance scam​.

Automated trading bot scams and exploits

AI is being invoked in the arena of cryptocurrency trading bots — often as a buzzword to con investors and occasionally as a tool for technical exploits.

A notable example is YieldTrust.ai, which in 2023 marketed an AI bot supposedly yielding 2.2% returns per day — an astronomical, implausible profit. Regulators from several states investigated and found no evidence the “AI bot” even existed; it appeared to be a classic Ponzi, using AI as a tech buzzword to suck in victims​. YieldTrust.ai was ultimately shut down by authorities, but not before investors were duped by the slick marketing. 

Even when an automated trading bot is real, it’s often not the money-printing machine scammers claim. For instance, blockchain analysis firm Arkham Intelligence highlighted a case where a so-called arbitrage trading bot (likely touted as AI-driven) executed an incredibly complex series of trades, including a $200-million flash loan — and ended up netting a measly $3.24 in profit​.

In fact, many “AI trading” scams will take your deposit and, at best, run it through some random trades (or not trade at all), then make excuses when you try to withdraw. Some shady operators also use social media AI bots to fabricate a track record (e.g., fake testimonials or X bots that constantly post “winning trades”) to create an illusion of success. It’s all part of the ruse.

On the more technical side, criminals do use automated bots (not necessarily AI, but sometimes labeled as such) to exploit the crypto markets and infrastructure. Front-running bots in DeFi, for example, automatically insert themselves into pending transactions to steal a bit of value (a sandwich attack), and flash loan bots execute lightning-fast trades to exploit price discrepancies or vulnerable smart contracts. These require coding skills and aren’t typically marketed to victims; instead, they’re direct theft tools used by hackers. 

AI could enhance these by optimizing strategies faster than a human. However, as mentioned, even highly sophisticated bots don’t guarantee big gains — the markets are competitive and unpredictable, something even the fanciest AI can’t reliably foresee​.

Meanwhile, the risk to victims is real: If a trading algorithm malfunctions or is maliciously coded, it can wipe out your funds in seconds. There have been cases of rogue bots on exchanges triggering flash crashes or draining liquidity pools, causing users to incur huge slippage losses.

How AI-powered malware fuels cybercrime against crypto users

AI is teaching cybercriminals how to hack crypto platforms, enabling a wave of less-skilled attackers to launch credible attacks. This helps explain why crypto phishing and malware campaigns have scaled up so dramatically — AI tools let bad actors automate their scams and continuously refine them based on what works​.

AI is also supercharging malware threats and hacking tactics aimed at crypto users. One concern is AI-generated malware, malicious programs that use AI to adapt and evade detection. 

In 2023, researchers demonstrated a proof-of-concept called BlackMamba, a polymorphic keylogger that uses an AI language model (like the tech behind ChatGPT) to rewrite its code with every execution. This means each time BlackMamba runs, it produces a new variant of itself in memory, helping it slip past antivirus and endpoint security tools​.

​In tests, this AI-crafted malware went undetected by an industry-leading endpoint detection and response system​. Once active, it could stealthily capture everything the user types — including crypto exchange passwords or wallet seed phrases — and send that data to attackers​.

While BlackMamba was just a lab demo, it highlights a real threat: Criminals can harness AI to create shape-shifting malware that targets cryptocurrency accounts and is much harder to catch than traditional viruses​.

Even without exotic AI malware, threat actors abuse the popularity of AI to spread classic trojans. Scammers commonly set up fake “ChatGPT” or AI-related apps that contain malware, knowing users might drop their guard due to the AI branding. For instance, security analysts observed fraudulent websites impersonating the ChatGPT site with a “Download for Windows” button; if clicked, it silently installs a crypto-stealing Trojan on the victim’s machine​.

Beyond the malware itself, AI is lowering the skill barrier for would-be hackers. Previously, a criminal needed some coding know-how to craft phishing pages or viruses. Now, underground “AI-as-a-service” tools do much of the work. 

Illicit AI chatbots like WormGPT and FraudGPT have appeared on dark web forums, offering to generate phishing emails, malware code and hacking tips on demand​. For a fee, even non-technical criminals can use these AI bots to churn out convincing scam sites, create new malware variants, and scan for software vulnerabilities​.

How to protect your crypto from AI-driven attacks

AI-driven threats are becoming more advanced, making strong security measures essential to protect digital assets from automated scams and hacks.

Below are the most effective ways on how to protect crypto from hackers and defend against AI-powered phishing, deepfake scams and exploit bots:

Use a hardware wallet: AI-driven malware and phishing attacks primarily target online (hot) wallets. By using hardware wallets — like Ledger or Trezor — you keep private keys completely offline, making them virtually impossible for hackers or malicious AI bots to access remotely. For instance, during the 2022 FTX collapse, those using hardware wallets avoided the massive losses suffered by users with funds stored on exchanges.Enable multifactor authentication (MFA) and strong passwords: AI bots can crack weak passwords using deep learning in cybercrime, leveraging machine learning algorithms trained on leaked data breaches to predict and exploit vulnerable credentials. To counter this, always enable MFA via authenticator apps like Google Authenticator or Authy rather than SMS-based codes — hackers have been known to exploit SIM swap vulnerabilities, making SMS verification less secure.Beware of AI-powered phishing scams: AI-generated phishing emails, messages and fake support requests have become nearly indistinguishable from real ones. Avoid clicking on links in emails or direct messages, always verify website URLs manually, and never share private keys or seed phrases, regardless of how convincing the request may seem.Verify identities carefully to avoid deepfake scams: AI-powered deepfake videos and voice recordings can convincingly impersonate crypto influencers, executives or even people you personally know. If someone is asking for funds or promoting an urgent investment opportunity via video or audio, verify their identity through multiple channels before taking action.Stay informed about the latest blockchain security threats: Regularly following trusted blockchain security sources such as CertiK, Chainalysis or SlowMist will keep you informed about the latest AI-powered threats and the tools available to protect yourself. 

The future of AI in cybercrime and crypto security

As AI-driven crypto threats evolve rapidly, proactive and AI-powered security solutions become crucial to protecting your digital assets.

Looking ahead, AI’s role in cybercrime is likely to escalate, becoming increasingly sophisticated and harder to detect. Advanced AI systems will automate complex cyberattacks like deepfake-based impersonations, exploit smart-contract vulnerabilities instantly upon detection, and execute precision-targeted phishing scams. 

To counter these evolving threats, blockchain security will increasingly rely on real-time AI threat detection. Platforms like CertiK already leverage advanced machine learning models to scan millions of blockchain transactions daily, spotting anomalies instantly. 

As cyber threats grow smarter, these proactive AI systems will become essential in preventing major breaches, reducing financial losses, and combating AI and financial fraud to maintain trust in crypto markets.

Ultimately, the future of crypto security will depend heavily on industry-wide cooperation and shared AI-driven defense systems. Exchanges, blockchain platforms, cybersecurity providers and regulators must collaborate closely, using AI to predict threats before they materialize. While AI-powered cyberattacks will continue to evolve, the crypto community’s best defense is staying informed, proactive and adaptive — turning artificial intelligence from a threat into its strongest ally.

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