Crypto Victim Loses $209K in WBTC and tBTC in Phishing Scam

TheCryptoTimes2025-10-14 tarihinde yayınlandı2025-10-14 tarihinde güncellendi

A crypto user lost a total of $209,816 worth of WBTC and tBTC after signing malicious “permit” and “increaseApproval” signatures, according to Scam Sniffer. The victim, identified as 0x4a..a27f, fell prey to a phishing scam executed by addresses 0x62..D0Ca, 0x72..1A1, and 0xaF1..8094.

As per Scam Sniffer’s X thread, the victim signed “permit” and “increaseApproval” requests that let third-party contracts access their tokens without a direct transaction. Scammers took advantage of this feature by disguising malicious requests as normal approvals.

“Double-check all signature requests and never rush into signing transactions,” the thread advised. Besides individual vigilance, users must adopt tools to detect suspicious links or dApps.

Scam Sniffer’s September 2025 report shows crypto scams cost $11.78 million, slightly less than August, but the number of victims grew to 15,513. Most attacks still use fake “permit” signatures. One person even lost $6.5 million that month by signing several fraudulent requests.

New tools to fight phishing

The Security Alliance (SEAL) launched a new tool called the Verifiable Phishing Reporter to fight advanced online scams. It lets security experts see scam websites exactly as victims do, making it easier to spot real threats. The tool uses verification technology to confirm reports are genuine and prevent scammers from hiding or altering harmful content.

This incident echoes earlier large-scale scams, like the $6 billion Bitcoin Ponzi scheme run by Qian Zhimin, where thousands of Chinese investors were defrauded. Authorities managed to seize 61,000 Bitcoin valued at $7.4 billion, but identifying the true owners has turned the recovery of the stolen cryptocurrency into a big challenge. 

Also Read: Citi to Launch Institutional Crypto Custody Platform in 2026


Mobile Only Image

İlgili Okumalar

From Suppliers to Shareholders: The Big Three Memory Chip Giants Jointly Invest in Anthropic, AI Supply Chain Power Structure Undergoing Reshuffle

For the first time, memory chip giants Micron, Samsung, and SK hynix have jointly invested in the same AI company, Anthropic, as part of its massive $65 billion Series H funding round. This strategic move, positioning the three rival HBM suppliers as "strategic infrastructure partners," highlights a fundamental shift in the AI industry's power dynamics. With HBM (High Bandwidth Memory) being a critically scarce resource essential for AI model training and inference, securing a stable supply has become a key competitive differentiator. By making these chipmakers shareholders, Anthropic aims to lock in this vital component for its rapid expansion, which includes securing major compute commitments from Amazon, Google, and others. For the memory trio, this investment represents a strategic bet on defining the future of AI hardware. Each company gains: SK hynix reinforces its dominant position in the NVIDIA supply chain; Samsung diversifies its client base beyond NVIDIA; and Micron leverages its geopolitical significance as the sole US-based HBM maker. Their collective move signals that competition in AI is evolving beyond model capability to encompass control over the entire compute supply chain—from chips and memory to power and networking. This vertical integration trend, where infrastructure providers become direct stakeholders in AI firms, marks the industry's maturation as AI transforms from a research project into essential global infrastructure, setting the stage for a new era of ecosystem competition.

marsbit1 saat önce

From Suppliers to Shareholders: The Big Three Memory Chip Giants Jointly Invest in Anthropic, AI Supply Chain Power Structure Undergoing Reshuffle

marsbit1 saat önce

Investment Philosophy of Gavin Baker, an Early Nvidia Investor: Long AI Infrastructure Bottlenecks, Short Overall Market Risk

Gavin Baker, an early investor in Nvidia and founder of Atreides Management, outlines his investment philosophy: going long on AI infrastructure bottlenecks while hedging against broader market risk. He argues AI is not a bubble but a supercycle driven by constraints in power, wafers (semiconductors), and compute efficiency (tokens per watt). True alpha, he believes, lies not in application-layer companies like OpenAI but in "picks and shovels" providers—companies solving physical bottlenecks in GPU connectivity (e.g., Astera Labs), memory (Micron), inference chips (Cerebras, Positron), advanced manufacturing (TSMC, ASML), and energy supply. His portfolio reflects this barbell strategy: concentrated bets on key infrastructure players alongside a significant put position on the QQQ ETF to hedge overall market downside. Baker contends this cycle differs from the dot-com bubble because demand is fueled by the strong balance sheets of hyperscalers (Google, Meta, Amazon, Microsoft), not debt, and physical supply constraints (e.g., chip manufacturing capacity) prevent runaway overinvestment. He highlights the growing importance of inference (vs. pre-training), vertical/small language models, sovereign infrastructure deployment speed, and the convergence of energy and space (e.g., orbital compute). His long-term view is that performance-per-watt and token cost reduction will dictate winners as AI scaling hits fundamental physical limits.

marsbit3 saat önce

Investment Philosophy of Gavin Baker, an Early Nvidia Investor: Long AI Infrastructure Bottlenecks, Short Overall Market Risk

marsbit3 saat önce

İşlemler

Spot
Futures
活动图片