Monero, Zcash, And Dash Prohibited In India Amid Money-Laundering Crackdown

bitcoinistОпубликовано 2026-01-24Обновлено 2026-01-24

Введение

India's Financial Intelligence Unit (FIU-IND) has prohibited privacy-focused cryptocurrencies Monero (XMR), Zcash (ZEC), and Dash (DASH) in a new anti-money laundering crackdown. The directive orders all registered crypto exchanges in the country to immediately suspend deposits, withdrawals, and trading for these assets, citing their advanced cryptographic features that obscure transaction details and user identities. Regulators argue these privacy tools hinder compliance with KYC and anti-money laundering obligations, posing elevated risks for illicit financing. While the three coins showed short-term price gains following the announcement, they remain significantly down over the past week. This action is part of India's broader regulatory effort, which previously targeted unregistered offshore exchanges.

India’s Financial Intelligence Unit (FIU‐IND) has launched a fresh anti‐money‐laundering crackdown aimed at privacy‐focused cryptocurrencies. The move targets Monero (XMR), Zcash (ZEC), and Dash (DASH), which together represent the largest and most widely used privacy coins globally.

India Tightens Crypto Oversight

Details of the action were shared on Friday by market analyst MartyParty on social media platform X (previously Twitter), who notes that FIU‐IND has issued a directive to crypto exchanges registered in India, instructing them to immediately suspend deposits, withdrawals, and trading activity for Monero, Zcash, and Dash.

At the heart of the regulator’s concerns is the technology underpinning these assets. Privacy coins rely on advanced cryptographic techniques designed to obscure transaction details, wallet balances, and user identities.

Monero uses ring signatures to hide the sender and receiver, Zcash allows shielded transactions that conceal transaction data, and Dash offers optional privacy features.

While these tools are valued by users seeking confidentiality, regulators argue they make it difficult for exchanges to meet know‐your‐customer (KYC) and transaction‐monitoring obligations. The regulator views these features as posing elevated risks related to money laundering, terrorist financing, and sanctions evasion.

The latest directive applies to all cryptocurrency exchanges registed in the country, which currently includes crypto platforms operating in compliance with Indian regulations. They have been instructed to stop supporting the assets, including delisting, blocking all deposits and withdrawals, and disabling any associated trading pairs.

Monero, Zcash, And Dash Show Mixed Market Reaction

The latest action builds on a broader regulatory push by Indian authorities. In October 2025, FIU‐IND ordered internet service providers to block access to 25 offshore crypto exchanges that failed to register.

By contrast, only a handful of exchanges currently remain fully registered and compliant in the country. Binance, Mudrex, Coinbase, CoinSwitch (CoinSwitch Kuber), and ZebPay continue to operate legally in India.

Despite the regulatory pressure, market prices for the targeted privacy coins showed short‐term resilience. Over the past 24 hours, all three assets posted gains after recovering from sharp losses earlier in the week.

Monero was trading at $524 at the time of writing, up 3.5% on the day. Zcash also rebounded modestly, rising 2.2% to trade at $372. Dash recorded the strongest daily performance, jumping 11.6% during the same period.

However, the broader trend remains negative. According to CoinGecko data, Monero, Zcash, and Dash are still down sharply on a weekly basis, with losses of approximately 21%, 8%, and 20% respectively over the past seven days.

The 1D chart shows XMR’s volatility witnessed over the past week, with short-term support at $500. Source: XRMUSDT on TradingView.com

Featured image from DALL-E, chart from TradingView.com

Связанные с этим вопросы

QWhich specific cryptocurrencies are targeted by India's Financial Intelligence Unit (FIU-IND) in its latest anti-money-laundering crackdown?

AMonero (XMR), Zcash (ZEC), and Dash (DASH).

QWhat is the primary regulatory concern that led to the prohibition of these privacy coins in India?

AThe advanced cryptographic techniques that obscure transaction details, wallet balances, and user identities, making it difficult for exchanges to meet KYC and transaction-monitoring obligations, posing elevated risks for money laundering, terrorist financing, and sanctions evasion.

QWhat actions have Indian crypto exchanges been instructed to take regarding these assets?

AThey have been instructed to immediately suspend deposits, withdrawals, and trading activity, including delisting the coins and disabling any associated trading pairs.

QDespite the ban, what was the short-term market reaction for Monero, Zcash, and Dash?

AAll three assets posted gains over the 24 hours following the news, with Monero up 3.5%, Zcash up 2.2%, and Dash recording the strongest performance with an 11.6% jump.

QWhich major crypto exchanges are named as being fully registered and compliant to operate legally in India?

ABinance, Mudrex, Coinbase, CoinSwitch (CoinSwitch Kuber), and ZebPay.

Похожее

Bitcoin Liquidation Shakeout Leaves Traders Watching $66K Resistance And $61K Support

Bitcoin's recent volatility triggered a major liquidation event, wiping out roughly $980 million in leveraged positions within 24 hours as price swung from ~$64,100 down to $60,700 and back above $63,000. Traders are now watching key technical levels. Major pivot resistance is identified at $66,247, with reclaimed highs near $64,234 and next resistance at $65,890. Critical support zones lie between $63,127-$63,354, then $62,459, with broader downside targets around $59,150-$60,171. Liquidation heatmaps show significant liquidity clusters above ($63.5K-$66K) and below ($58.5K-$61K) spot price, creating a volatile corridor. The market is in a corrective phase; a clean break above resistance is needed for a bullish shift, while failure to hold low-$63K support risks a move toward lower liquidity zones.

bitcoinist14 мин. назад

Bitcoin Liquidation Shakeout Leaves Traders Watching $66K Resistance And $61K Support

bitcoinist14 мин. назад

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

U.S. Government Bans Foreign Access to Fable 5, Anthropic Issues Rebuttal On June 12th, the U.S. government ordered AI company Anthropic to immediately suspend all foreign access—including foreign nationals within the U.S. and Anthropic's own foreign employees—to its newly released Fable 5 and Mythos 5 AI models, citing national security concerns. This forced Anthropic to temporarily disable access to both models for all users globally, as it cannot technically differentiate user nationality at scale. The models, released just three days prior, represent Anthropic's highest public capability tier. Fable 5 is the first publicly available model from the advanced "Mythos" family, while Mythos 5 is a less-restricted version for approved cybersecurity and critical infrastructure partners. The government's directive was reportedly triggered by claims from another company that it could "jailbreak" Mythos 5, raising alarm within the Trump administration. Anthropic, in a detailed public statement, strongly challenged this rationale. The company argues the demonstrated "jailbreak" is a narrow, non-generalized technique that merely involves identifying minor, known software vulnerabilities—a capability common to other publicly available models like OpenAI's GPT-5.5 and routinely used by cybersecurity defenders. Anthropic stated it has complied with the order but disagrees with the government's standard, warning that applying it industry-wide would halt all new frontier model deployments. The company criticized the lack of a transparent, fact-based legal process and expressed confidence the situation stems from a misunderstanding. It is working to restore access and will release more technical details within 24 hours. Other Anthropic models remain unaffected.

链捕手16 мин. назад

U.S. Government Bans Foreign Nationals from Using Fable 5, Anthropic Issues Rebuttal

链捕手16 мин. назад

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

**Raydium Exploit Reveals DeFi's Hidden Risk: Forgotten "Zombie" Contracts** A recent attack on Raydium's deprecated V3 AMM pools resulted in a loss of approximately $1.34 million. The hacker exploited pools that were no longer supported by Raydium's current UI or SDK but remained fully functional and accessible on-chain. This incident highlights a critical, often overlooked category of risk in DeFi: inactive or legacy smart contracts that projects fail to properly decommission. Since March 2025, there have been at least 8 publicly reported attacks targeting such abandoned contracts, with total losses around $10.8 million. Including older pools and deprecated features, the count rises to 10 incidents with roughly $22.5 million in losses. These "zombie contracts" represent a lifecycle management failure rather than a code vulnerability, yet they are typically misclassified under general "code bug" categories in security reports, masking the true scale of the problem. The root cause is that projects often merely document a contract as "deprecated" without taking essential technical steps to secure it: withdrawing remaining assets, disabling external call functions, and implementing ongoing monitoring. These forgotten, under-monitored components become prime targets for attackers. To address this, the industry needs to recognize "zombie contracts" as a distinct risk category and establish standardized decommissioning protocols. Essential steps should include: 1) a formal retirement announcement, 2) removal of all front-end integrations, 3) withdrawal of locked assets, 4) disabling key contract functions, 5) ongoing security monitoring, 6) clear user communication, and 7) a post-mortem analysis. The value of a DeFi project lies not only in its current TVL but also in the security of its historical codebase, which has now become a new attack surface.

Foresight News2 ч. назад

The Revelation from the Raydium Theft Incident: New DeFi Vulnerabilities Lurking in Forgotten Old Contracts

Foresight News2 ч. назад

Solayer Launches Margin Trade to Consolidate Perpetual Multi-Asset Trading on Mainnet

Solayer, a high-performance SVM-compatible Layer 1 blockchain, has launched its Margin Trade platform on mainnet. This unified cross-asset perpetual trading platform merges traditional and digital finance, developed with input from institutional and crypto trading experts. It offers trading for a diverse range of assets, including top cryptocurrencies, commodities like gold and oil, and equities such as the synthetic MT500 index. Key features include cross-margin trading with a unified collateral pool for improved capital efficiency, real-time execution, and full on-chain transparency with non-custodial asset ownership. The launch includes the first perpetual market for Pearl Research ($PRL) with up to 3x leverage. Future plans involve expanding asset listings and adding isolated margin functionality. Built on the high-throughput Solayer network capable of 330,000 TPS, the platform aims to provide the speed required for serious trading. Following successful testnet phases, Margin Trade's mainnet debut marks a significant step in Solayer's goal to unify traditional and crypto markets on-chain with institutional-grade decentralized finance infrastructure.

TheNewsCrypto2 ч. назад

Solayer Launches Margin Trade to Consolidate Perpetual Multi-Asset Trading on Mainnet

TheNewsCrypto2 ч. назад

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

Robots have started to 'consume data,' driving the formation of a new industrial supply chain focused on producing training data for embodied AI. Unlike large language models, which are trained on vast internet text corpora, embodied AI models face a 'data desert' in the physical world. This has created a massive demand for first-person perspective video data (Ego Data), captured by workers wearing cameras in places like Indian garment factories. Companies like Neocambrian AI are establishing 'data factories' where workers perform standardized tasks (e.g., sorting clothes, kitchen organization) to generate thousands of hours of video. Research, such as NVIDIA's EgoScale, demonstrates that scaling this human demonstration data predictably improves robot performance, particularly for dexterous manipulation. This has validated a training path combining large-scale human data for pre-training with smaller amounts of robot-specific data for fine-tuning. The value of different data types varies significantly, forming a 'data pyramid.' The base consists of low-cost, large-scale internet and Ego Data. Higher layers include more expensive motion-capture data (e.g., from data gloves), simulation/synthetic data, and the most costly and scarce layer: real robot teleoperation data. This demand has spawned a layered ecosystem of data suppliers: low-cost data factories, motion capture and alignment specialists, robot-native teleoperation service providers, simulation data companies, and platforms aiming for data standardization. Robot companies themselves are adopting a 'layered procurement' strategy: outsourcing generic Ego Data while building in-house capabilities for robot-specific adaptation data and the critical deployment/failure data generated in real-world applications. The industry is shifting focus from hardware and basic mobility to the data pipelines required for general-purpose capability. While parallels exist to data labeling companies like Scale AI in the LLM boom, the physical complexity of robot data—involving action success ambiguity and sim-to-real gaps—requires more integrated solutions for data collection, annotation, and a continuous feedback loop. The race is on to build the data engines that will teach robots to operate reliably in the unstructured real world.

marsbit4 ч. назад

Robots Begin to 'Consume Data': The Hidden Production Chain from Indian Data Factories to Billion-Dollar Humanoid Robots

marsbit4 ч. назад

Торговля

Спот

Фьючерсы

Обсуждения

Добро пожаловать в Сообщество HTX. Здесь вы сможете быть в курсе последних новостей о развитии платформы и получить доступ к профессиональной аналитической информации о рынке. Мнения пользователей о цене на DASH (DASH) представлены ниже.