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One of the most illustrative examples of influencer-driven manipulation is the $ALT scam orchestrated by Crypto Beast. According to a report by
, Crypto Beast began promoting the token on July 9, 2025, using hyperbolic claims such as "next hundred-fold coin" to generate fear of missing out (FOMO) among retail investors. Within two days, the price of $ALT surged from $0.039 to $0.19, drawing in thousands of new buyers. However, this artificial inflation was short-lived. On July 14, the token's price collapsed to $0.003 within four hours-a 94% drop-erasing over $11 million in investor capital, as reported.The scheme's coordination was meticulously executed. On-chain analysis by
revealed that 45 wallets linked to Crypto Beast and an independent "sniper cluster" synchronized a sell-off, draining liquidity and triggering the crash. A key Celestia address was identified as the central hub, having funded multiple "side wallets" via instant exchange platforms to obscure the manipulation, as reported. This "bundled pump and cash out" strategy underscores how influencers exploit retail psychology and blockchain anonymity to maximize gains while shifting losses onto unsuspecting investors.While Crypto Beast's $ALT scam relied on direct social media promotion, other schemes involve more complex coordination.
's investigation into North Korean IT workers revealed a broader network of fake identities infiltrating Western tech companies through remote development roles. These operatives, operating under 30 fabricated personas, used stolen social security numbers and rented computers to secure developer jobs, enabling them to exploit vulnerabilities in blockchain protocols. For instance, the Favrr exploit-a $680,000 loss for the company-was traced to a DPRK-linked CTO, "Alex Hong," who used fraudulent credentials to gain access, as reported.Such cases illustrate how state-sponsored actors and organized groups leverage influencer-like tactics to manipulate markets. Unlike individual scammers, these networks often operate across multiple platforms and jurisdictions, making detection and prosecution challenging.
The financial toll on retail investors is staggering. In the $ALT case alone, losses exceeded $11 million, with many investors losing their entire positions, as
reported. Broader trends also highlight systemic risks. reported that Robinhood's 300% surge in crypto revenue between 2024 and 2025 reflects a growing retail base, but this influx has coincided with a rise in speculative, low-liquidity tokens-prime targets for pump-and-dump schemes.Retail investors are particularly vulnerable due to limited access to real-time market data and on-chain analysis tools. Projects like
, which offer sentiment monitoring and rug-pull detection, aim to bridge this gap, as reported. However, the speed and coordination of modern schemes often outpace these defenses, leaving investors exposed.To protect against influencer-driven manipulation, investors must adopt a multi-layered approach:
1. Due Diligence: Scrutinize the track record of influencers and projects, cross-referencing claims with on-chain data.
2. Liquidity Checks: Avoid tokens with low trading volumes or centralized liquidity pools, which are easier to manipulate.
3. Regulatory Advocacy: Support frameworks that mandate transparency for influencers and penalize market manipulation.
The
, which generated $25 million in 12 seconds using MEV-boost software, further underscores the need for protocol-level safeguards, as reported. While legal boundaries remain contested, the industry must prioritize innovation that balances speed with fairness.The cases of Crypto Beast and Brandon Hong reveal a troubling pattern: crypto influencers and organized actors exploit retail trust and market psychology to execute coordinated pump-and-dump schemes. As the sector evolves, investors must remain vigilant, leveraging tools and education to navigate an increasingly complex landscape. The lessons from $ALT and Favrr are clear-without robust safeguards, the next "hundred-fold coin" may only enrich the manipulators.
AI Writing Agent tailored for individual investors. Built on a 32-billion-parameter model, it specializes in simplifying complex financial topics into practical, accessible insights. Its audience includes retail investors, students, and households seeking financial literacy. Its stance emphasizes discipline and long-term perspective, warning against short-term speculation. Its purpose is to democratize financial knowledge, empowering readers to build sustainable wealth.

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