Arkham Announces 'De-anonymization' of ZCash. Which Transactions Are Being Tracked

RBK-cryptoPublished on 2025-12-09Last updated on 2025-12-09

Abstract

Analytics platform Arkham Intelligence has announced it has begun "de-anonymizing" transactions of the privacy-focused cryptocurrency Zcash (ZEC). Arkham claims to have labeled over half (53%) of all ZEC transactions, including both private (shielded) and public ones, and has linked $420 billion worth of ZEC to specific individuals and entities. Its monitoring tools provide alerts for large transactions and use AI for analysis. As an example, Arkham highlighted that the U.S. government holds $1.26 million in ZEC, confiscated from AlphaBay founder Alexander Cazes eight years ago. Zcash creator Zooko Wilcox responded by stating the announcement is not true de-anonymization, as ZEC users themselves choose whether to make their transactions visible on such a dashboard. The news comes amid a significant price surge for ZEC, which has increased nearly tenfold since the start of the year. Wilcox admitted he does not know the reason for the price increase but dismissed theories of a "coordinated pump" as cynical propaganda. Zcash supporters argue that Arkham's labeling is primarily based on data from the public portion of the network, though Arkham asserts it used methods to correlate some activity from the private pool as well.

Analytics platform Arkham has announced that it has started 'de-anonymizing' transactions in the Zcash cryptocurrency. This coin is known for allowing users to choose between private or public transaction processing.

Arkham claims to have labeled more than half (53%) of the transactions in the Zcash network, both shielded and open. Analysts have linked $420 billion in ZEC to specific individuals and organizations. Arkham's features for monitoring Zcash activity include the ability to receive notifications about large transactions, as well as analyze operations using artificial intelligence.

As an example of Zcash monitoring, Arkham pointed out that eight years ago, the US government confiscated $737,000 in ZEC from AlphaBay founder Alexander Cazes, which has appreciated in value over the years. The US government's balance now holds $1.26 million in ZEC.

Zcash creator Zooko Wilcox stated that this is not de-anonymization in the full sense, as ZEC users themselves decide whether their operations will be visible.

"The Arkham headline makes it sound like they can 'de-anonymize' Zcash owners. But in reality, when you use Zcash, you choose for yourself whether one of your wallets will be displayed on their dashboard or not," Wilcox wrote.

This fall, after almost five years of dormancy, the price of ZEC has increased nearly tenfold since the beginning of the year. Such a sharp spike has caused a lively reaction in the crypto community, dividing it into two camps: some believe the growth is a natural revaluation of the project's fundamental characteristics, while others see it as the result of a large-scale and coordinated promotional campaign.

At the end of October, Wilcox admitted that he did not know why ZEC was rising so much in price or if it would fall back. "But here's what I do know: the talk about this being a 'coordinated pump' is just more propaganda from people who can't believe in something good and genuine," the ZEC founder wrote.

Zcash supporters on social media also claim that the main part of Arkham's labeling is based on data from the open part of the network. The company itself assures that it used methods to correlate some activity from the private pool as well.

As of 12:40 Moscow time, Zcash is trading around $410. Over the past 24 hours, the coin has appreciated by 4.5%, and over the year by 543%.

Tether has invested in humanoid robots. When will they be launched

Binance suspends employee for insider trading. What happened

Strategy purchased the largest batch of bitcoins since July

Related Reads

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

Stablecoin Real Yield Found: A Deep Dive into On-Chain Reinsurance with Re's Karan Saroya As stablecoin supply exceeds $170 billion, the search for sustainable, non-speculative yield intensifies. Re, an on-chain reinsurance platform, provides an answer: connecting stablecoin capital to the trillion-dollar traditional reinsurance market. Re operates as a regulated reinsurer, accepting stablecoin deposits as collateral to back US insurance companies. These insurers pay premiums, generating yield that flows back to on-chain depositors. Currently supporting 35 insurers and underwriting $500 million, Re projects scaling to over $1 billion soon. Key insights from a Bankless podcast with founder Karan Saroya and investor Avichal of Electric Capital: 1. **Uncorrelated, Real-World Yield:** Re offers stablecoin holders access to reinsurance returns (targeting 12-14%+), an asset class entirely separate from crypto or equity markets. 2. **Operational Efficiency via Smart Contracts:** Re replaces traditional, labor-intensive capital fundraising with smart contracts, allowing a ~12-person team to compete with industry giants. 3. **Regulatory Leverage:** For every $1 of collateral, regulations allow backing $5-7 in written premiums. This leverage amplifies returns from the underlying risk-free rate. 4. **DeFi Integration:** Depositors receive receipt tokens, which can be used in protocols like Morpho for "looping," potentially pushing yields to 18-20%+. 5. **The "DeFi Mullet" Model:** A compliant front-end (regulated reinsurer) paired with a decentralized back-end (smart contracts, DeFi capital markets). 6. **RE Governance Token:** Modeled on Lloyd's of London, the token governs the central capital pool's allocation, counterparty acceptance, and parameters. 7. **Real Economic Impact:** Capital funds real-world productivity (factories, clinics, businesses) via insurance, moving beyond crypto's internal loops. The discussion highlights a pivotal moment: DeFi's supply-side infrastructure is now met by real demand for productive yield, potentially kickstarting a flywheel where vast on-chain stablecoin capital seeks these real-world returns.

链捕手58m ago

Stablecoins Finally Find Real Yield: An In-Depth Look at On-Chain Reinsurance Re | A Conversation with Re Founder Karan Saroya

链捕手58m ago

1996 or 1999? Walsh's First Test is 'How to View AI'

"1996 or 1999? Wall's First Big Test Is 'How to View AI'" Federal Reserve Chairman Wall's initial challenge is not whether to raise or cut rates, but a more fundamental judgment: what kind of boom is the current AI boom? This will determine the Fed's policy path and define his legacy. Economics is split between two opposing views, according to reporter Nick Timiraos. One sees imminent productivity gains that will increase supply and cool inflation, allowing the Fed to hold steady. The other argues that while productivity benefits are distant, demand shocks are here now, and waiting for data confirmation risks missing the intervention window, forcing sharper rate hikes later. Wall has signaled a leaning toward the first view, echoing 1996-era Alan Greenspan, who embraced strong, productivity-driven growth without fear of inflation. However, Wall faces a different macro environment than Greenspan did, with tariff pressures, expanding fiscal deficits, and diminishing globalization benefits, which could force more significant inflation pressures even if AI benefits materialize. Wall's logic, expressed before taking office, is that AI-driven productivity gains won't show in official data for years. If the Fed waits for confirmation, it might mistakenly tighten policy and choke off the very growth that could suppress inflation. This argues for using forward-looking narratives over lagging data. Chicago Fed President Austan Goolsbee presents a key counter-argument. He distinguishes between expected and unexpected productivity booms. A widely anticipated boom, like the current AI wave, can cause people to spend future wealth gains in advance, overheating the economy before productivity actually rises, thus requiring preemptive rate hikes. He cites rising costs for AI data centers as evidence of such overheating. Fed Governor Christopher Waller offers a rebuttal to Goolsbee, noting the "expected spending" mechanism only works if people can borrow against future income, which many households cannot do due to borrowing constraints. Wall also faces a paradox related to his desire to reduce the Fed's use of "forward guidance" (pre-announcing policy moves). This practice was established in 1999 when Greenspan began signaling hikes to avoid market shocks. If the economy follows a less optimistic path, Wall may be forced to choose between using the guidance he wants to abolish or risking market volatility by staying silent. The ultimate question defining Wall's first major test remains: Is this 1996 or 1999?

marsbit2h ago

1996 or 1999? Walsh's First Test is 'How to View AI'

marsbit2h ago

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

Ethereum Q1 2026 Report: Fees Down, Users & Transactions Hit New Highs Token Terminal's Q1 2026 report on Ethereum presents a pivotal development: the network achieved record highs in monthly active users (13.2M, +85.9% YoY), total transactions (200.4M, +81.5% YoY), and throughput (25.78 TPS), while transaction fees on the mainnet plummeted by 47.9% quarter-over-quarter. This shift is attributed to the network's strategic move into a "low fees for scale" phase, exemplified by the Fusaka upgrade which increased data capacity and lowered block space costs, releasing pent-up demand (a manifestation of Jevons's Paradox). The report highlights a core narrative shift for Ethereum: from a DeFi-centric blockchain to a global financial settlement layer. It maintains a dominant position in tokenized assets, holding majority market shares among top chains in stablecoins (61.8%), tokenized funds (73.0%), and tokenized commodities (84.0%). Growth in tokenized funds (+73.1% YoY) and commodities (+325.9% YoY) was particularly strong, driven by institutions like BlackRock and JPMorgan entering the space. Contrasting these usage gains, several USD-denominated value metrics declined in Q1: fully diluted market cap fell 30.3% QoQ, total value locked (TVL) dropped 11.0%, and ecosystem transaction volume decreased 24.0%. The report interprets this as Ethereum prioritizing long-term network expansion and cementing its role as the default settlement layer for finance over short-term fee capture. The commentary from Etherealize argues that, much like the early internet, Ethereum's open, permissionless model is poised to win over closed alternatives as institutional tokenization accelerates.

marsbit3h ago

Ethereum Q1 2026 Report: Fees Decline, Users and Transaction Volume Hit New Highs

marsbit3h ago

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

Pete Florence, a former senior research scientist at Google DeepMind and a key contributor to the Vision-Language-Action (VLA) model architecture, is deliberately distancing his startup, Generalist AI, from the trendy "world model" label. He argues that the industry should prioritize concrete goals over buzzwords. His goal is to create robots that can perform a vast range of unseen tasks with high speed and success rates, without needing task-specific training data. Recently, his company raised $400 million (¥2.7 billion) at a $2 billion valuation. Notable investors include NVIDIA's NVentures, Bezos Expeditions, NFDG, as well as Xiaomi co-founder Lin Bin, Zoom founder Eric Yuan, and renowned AI scientist Fei-Fei Li. Florence's approach stems from his academic background at MIT under Professor Russ Tedrake, focusing on understanding the physical world. After joining DeepMind, he developed models like Transporter Network and co-created the VLA framework. He left in 2025 to found Generalist AI. The company has launched two models: GEN-0, which demonstrated that scaling laws apply to physical motion, and GEN-1. GEN-1 was trained on over 500,000 hours of physical interaction data collected via a specialized wearable device. It achieves a 99% success rate on precise mechanical tasks like folding boxes and maintains performance three times faster than its predecessor. Florence believes GEN-1 is reaching a commercial utility threshold similar to the GPT-3 inflection point. The substantial funding round, following GEN-1's release, signifies strong investor confidence in Generalist AI's practical, goal-driven path to creating versatile, useful robots, regardless of the "world model" terminology.

marsbit3h ago

He Just Raised 2.7 Billion, and Li Fei-Fei Also Invested

marsbit3h ago

Trading

Spot
Futures
活动图片