On the move: FTX hacker splits nearly $200M in ETH across 12 wallets

CointelegraphPublicado em 2022-11-22Última atualização em 2022-11-22

Resumo

The hacker behind the theft of more than $447 million of crypto from the crypto exchange FTX has been again spotted moving their ill-gotten funds. 

The hacker behind the theft of more than $447 million of crypto from the crypto exchange FTX has been again spotted moving their ill-gotten funds. 
According to Etherscan data, between 4:11 to 4:17 pm UTC on November 21, the attacker moved a total of 180,000 Ether (ETH) across 12 newly created wallets — each receiving 15,000 ETH. The total amount moved totaled $199.3 million at current prices.

Recent transactions from wallet labeled "FTX Accounts Drainer" — Source: EtherscanAt the time of publication, the ETH has not moved from any of the 12 wallets.
Some in the crypto community suggest the attacker may be planning to subdivide it into smaller and smaller amounts in order to confuse investigators, a process known as “peel chaining,” or they may be planning to use a mixing service at some point to obscure which coins are theirs.
Meanwhile, some Ethereum users appear to have sent coded messages to the hacker asking for a share of the loot.
One user registered the Ethereum Name Service (ENS) domain name, “ftx-rekt200k-pls-help.eth” to express that they have lost money from the FTX collapse and to ask for a reimbursement from the hacker.
They sent 21 transactions of 0.000001 Ether to the hacker’s address in an attempt to get noticed.
Another user was even more creative. They registered the ENS domain, “pleasecheckutf8data.eth” and sent 12 transactions of 0.0001 ETH or less to the hacker’s wallet address.

An encoded message asking the FTX Accounts Drainer for a share of funds. Source: EtherscanInside each transaction was a UTF8 encoded message that said “Please send me 100k~, I have medical bills to pay and visit the USA this coming December. I can't walk properly, and have aggressive muscle issues. Please help! I lost most of my money on FTX.”
The message also contained a link to an Imgur post which the user claimed was proof of their medical appointment.
The hack occurred on Nov. 11, the same day that FTX filed for chapter 11 bankruptcy protection.
On November 20, the attacker transferred 50,000 ETH to a separate wallet and then converted it to Bitcoin using two separate renBTC bridges.
As of today, the hacker is the 40th largest holder of ETH.

Leituras Relacionadas

Deep Insight: Decentralized Inference is Not Hype, but a Key Track for AI to Break Through Centralized Monopoly

Decentralized Reasoning: Beyond the Hype, a Key to Breaking AI's Centralized Monopoly A future scenario where a powerful AI model is banned by a major government illustrates the core value proposition of decentralized AI: resistance to censorship. The core bet of decentralized inference networks is mitigating this risk, with other benefits like cost being secondary. The path is extremely difficult, involving four key challenges: 1. **Running Massive Models:** Distributing a single model across a decentralized GPU swarm requires sophisticated techniques like pipeline and speculative decoding to overcome crippling network latency, aiming for usable speeds (e.g., 30-40 tokens/second). 2. **Proving Model Integrity:** Verifying that a node runs the correct model is critical. Solutions range from cryptographically secure but slow ZKML to faster, economically-secure methods like statistical fingerprints, deterministic re-execution, or live-weight proofs, each involving trade-offs between integrity, latency, and cost. 3. **Ensuring Prompt Privacy:** Simply sharding a model does not protect user inputs from nodes. Robust solutions currently require trusted hardware (TEEs) or advanced cryptography (FHE), which are not yet widely deployed in consumer swarms. 4. **Building a Real Market:** Identifying the ideal customer is tough. Beyond speculative AI agents, the viable market currently consists of startups embedding AI and projects needing batch processing (e.g., synthetic data generation), where decentralized aggregation can be an advantage over low-latency needs. The article analyzes several projects tackling these problems, such as Dolphin Network (live-weight proofs), Inference.net (statistical verification), Morpheus (TEE-based), and Darkbloom (Apple Secure Enclave). It provides a framework: decentralization is a "tax" for latency-sensitive applications (e.g., chat) but a potential supply-side advantage for throughput-oriented tasks (e.g., batch processing). The long-term vision is a closed data loop where decentralized inference generates valuable data (traces, preferences) to feed decentralized training networks, which in turn produce better open-weight models for the inference networks. A due diligence checklist advises focusing on projects that: are truly decentralized at specific layers; have a credible integrity method; offer real cost benefits; ensure genuine privacy; handle node reliability; have paying users; and are built by teams with deep AI expertise. The ultimate goal should be products that appeal beyond the crypto-native audience, using crypto mechanisms invisibly to deliver better cost, performance, or privacy.

Foresight NewsHá 11m

Deep Insight: Decentralized Inference is Not Hype, but a Key Track for AI to Break Through Centralized Monopoly

Foresight NewsHá 11m

The Final Piece of Franklin Templeton's Crypto Ambition

Franklin Templeton Completes Crypto Ambition with Acquisition of 250 Digital On June 22, Franklin Templeton announced the acquisition of 250 Digital and established Franklin Crypto, a new division focused on actively managed cryptocurrency strategies for institutional investors. The unit is led by Christopher Perkins and Seth Ginns. This acquisition marks a key piece in Franklin Templeton's multi-year crypto strategy, which began in 2018 with a digital assets team. The firm's crypto product suite now spans three layers: tokenized funds like the blockchain-based money market fund BENJI (~$831M AUM); a series of passive ETFs including Bitcoin (EZBC, ~$368M), Ethereum (EZET), XRP (XRPZ, ~$252M), Solana (SOEZ), and a multi-crypto index fund (EZPZ); and the newly added active management strategies from Franklin Crypto. The company has also expanded its crypto ecosystem through investments in projects like Ethena and Crossmint, and collaborations with blockchains such as Aptos and Sui. With approximately $18B in digital asset AUM and a total firm AUM of ~$1.78T, Franklin Templeton is positioning itself as a comprehensive crypto asset manager for pensions and sovereign wealth funds. In contrast, competitor Fidelity Investments has taken a different path, focusing early on building its own custody and trading infrastructure. Fidelity's Bitcoin ETF (FBTC) holds over $11B, significantly larger than Franklin Templeton's equivalent offering. Both giants' moves underscore the deepening trend of traditional finance entering the crypto space.

Foresight NewsHá 34m

The Final Piece of Franklin Templeton's Crypto Ambition

Foresight NewsHá 34m

Trading

Spot
Futuros
活动图片