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Address Poisoning Attack Drains $100K in USDT, Attacker Converts Funds to ETH
crypto shutdo
2026-08-09 13:52:54

More Than 100 Crypto Projects Have Shut Down in 2026 as Industry Consolidation Picks Up

More than 100 crypto projects have shut down, filed for bankruptcy, or permanently ceased operations so far in 2026, according to an Odaily report citing CoinDesk. The pace has been speeding up, with BitMEX, BitMart, Movement Labs, and Storj Labs all announcing closures or related filings in a single week in late July. The list of exits spans trading platforms, wallets, DeFi lending protocols, NFT marketplaces, and layer-1 blockchains. The report points to a mix of pressures behind the wave of shutdowns. Ethereum general-purpose layer-2 networks expanded quickly in 2023, but lower deployment barriers later crowded the market and left some projects without clear differentiation. Many teams had usage but no conventional revenue, while also paying engineers in native tokens, subsidizing liquidity, and covering security audit costs. Recent declines of 70% to 90% across many altcoins also undermined token-denominated treasury assumptions and runway estimates. Security losses added to the pressure. Blockaid estimated on-chain attack losses reached $1.1 billion in the first half of 2026, above the total for all of 2025, while TRM Labs said North Korea-linked attackers accounted for 66% of crypto attack losses in the same period. By contrast, projects still growing through the bear market tended to rely on dollar-based revenue, with Hyperliquid and Aave cited as examples.

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More Than 100 Crypto Projects Have Shut Down in 2026 as Industry Consolidation Picks Up
Policy and Re
2026-08-07 07:36:26

AI tools are being used to flag sham token projects and on-chain pyramid schemes

Regulators and security teams are increasingly using artificial intelligence to spot suspicious crypto projects before they scale. The article outlines how AI can scan white papers, marketing copy, team backgrounds, social media activity, fundraising claims, smart contract structures, and on-chain fund flows to detect patterns often linked to fake token offerings, multi-level referral schemes, and other illicit activity. It points to several concrete examples and policy signals. A June 2026 warning from Shenzhen’s financial regulator said bad actors were using labels such as “AI agents,” “AI quantitative investment,” and “Web3.0” to conduct illegal fundraising. The piece also cites the “Fun Coffee” virtual currency investment case in Hong Kong, which had drawn 225 reports involving HK$94 million as of early August 2026. Lawmaker Johnny Ng said the case involved a Ponzi scheme and a layered person-to-person recruitment structure. The article argues that AI can help by identifying templated white papers, fake community traction, fabricated investment claims, pyramid-style capital structures, rapid fund aggregation, abnormal rebate models, and wallet links to blacklists or mixers such as Tornado Cash. At the same time, it stresses that AI is not a final judge. False positives remain possible, decentralization does not equal illegality, and human review is still needed alongside data analysis and on-chain evidence.

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AI tools are being used to flag sham token projects and on-chain pyramid schemes
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