Crypto Scammers Face Heat As SAFE Crypto Act Draws Top US Enforcers

bitcoinistОпубліковано о 2025-12-18Востаннє оновлено о 2025-12-18

Анотація

A bipartisan bill introduced in December 2025, the Strengthening Agency Frameworks for Enforcement of Cryptocurrency (SAFE Crypto) Act, aims to combat rising cryptocurrency fraud. The legislation proposes a national task force involving Treasury officials, law enforcement, regulators, and private experts to detect, track, and shut down crypto-related scams in real-time. It also focuses on public education to help consumers identify fraud and provides local police with training and blockchain analytics tools. Industry experts warn that crypto scams have resulted in billions in losses, and proponents argue the bill would close enforcement gaps, potentially disrupting criminal operations using decentralized and cross-border systems.

A bipartisan bill introduced on Dec. 15, 2025 would form a national response to rising cryptocurrency fraud, aiming to give law enforcement and regulators new tools to stop scams as they happen.

According to the sponsors, the Strengthening Agency Frameworks for Enforcement of Cryptocurrency (SAFE Crypto) Act creates a coordinated federal effort to detect, track, and shut down illicit schemes that use crypto rails.

Task Force To Target Crypto Scams

The bill would set up a task force that pulls together Treasury officials, federal and local law enforcement, regulators, and private-sector experts to share intelligence and act quickly on threats.

Reports have disclosed that the legislation is pitched as a way to get real-time visibility on suspicious activity and to give local police better technical help when they investigate.

Senators Elissa Slotkin (D-MI) and Jerry Moran (R-KS) are listed as the bill’s proponents. The measure appears in Congress under a title that would establish a “Task Force for Recognizing and Averting Cryptocurrency Scams,” and is referenced by bill number S.3428 in congressional records. As of Dec. 17, 2025, the full legislative text had not been posted on the Congressional site.

BTCUSD now trading at $86,862. Chart: TradingView

Public Education And Local Support

The sponsors say the task force will do more than hunt scammers. It will fund public awareness work so consumers can spot fake investment pitches, phishing schemes, and impersonation fraud.

Local law enforcement would get training and access to blockchain analytics tools, the backers say, so officers can follow illicit funds and identify criminal networks before victims lose large sums.

Crypto criminals are employing new tactics to defraud more people, latest investigations show. Image: TechHQ.

Industry figures quoted in the announcement said crypto fraud has been large and growing. According to one industry policy lead cited by the sponsors, “Over the last two years, we’ve tracked billions in scams and fraud across the crypto ecosystem.” That warning is a central piece of the case lawmakers are making for faster, coordinated action.

Cybercriminals: Panic Mode

Gabriel Shapiro, general counsel at crypto investment firm Delphi Labs, said that if the SAFE Crypto Act is carried out effectively, it could leave crypto scammers scrambling to stay ahead of enforcement.

Shapiro added in a post on X on Tuesday that “scammers will probably end up sh*tting themselves if this goes hard,” stressing that the US attorney general, the director of the Financial Crimes Enforcement Network, and the director of the US Secret Service would be among the senior officials leading efforts to pursue the bad guys.

Why Lawmakers Are Pushing Now

Lawmakers argue that criminals have grown more skilled at using decentralized systems and cross-border services to hide proceeds. The SAFE Crypto Act is being presented as a way to narrow that gap by making public and private responders work from a shared playbook. The initiative is part of a wave of digital currency-related policy moves being discussed in Congress this year.

Featured image from Unsplash, chart from TradingView

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"PANews Column Registration and Submission Guide" provides instructions for users to register as columnists and publish articles on the PANews platform. Key application requirements are emphasized: content should focus on in-depth analysis within Crypto, Web3, blockchain, data, and viewpoints. Content primarily for brand/product introductions will not be approved, and heavily AI-generated content will be rejected. Promotional (PR/soft) content is directed to the business channel. **Registration Process:** * **Web:** Go to the official website footer, click "Apply for Column," and register with a phone number or email (login via verification code, no password). Fill in the column name, description, upload an avatar, and submit links to previously published work. * **Mobile:** Navigate to "My" -> "Contribute & Create" and complete the form. **Article Submission Tutorial:** 1. Log in to the PANews website. 2. Access the "Creator Center" from your personal homepage. 3. Use the editor to create and publish articles. **Video Upload:** The platform supports embedding videos from third-party sites (e.g., Bilibili). Copy the embed code from the source video, use the editor's "Insert/Edit media" button, paste the code under the "Embed" tab, and adjust the display size (recommended: width 100%, height 560px). **PANews Skills (AI Agent Tool):** PANews offers an official AI Agent skill set called PANews Skills, enabling AI tools to query platform content, track trends, and publish column articles directly. It includes three main skills: 1. `panews`: For tracking daily must-read lists, popular articles, and funding news. 2. `panews-creator`: For managing columns, publishing articles, and uploading images. 3. `panews-web-viewer`: For parsing PANews webpages into Markdown. These skills are compatible with various AI Agent tools (OpenClaw, Cursor, Claude Code, ChatGPT, Gemini, etc.). To use the `panews-creator` skill, users must obtain a specific authentication value from the PANews website after logging into their columnist account.

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PANews Column Registration and Article Submission Guide

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I Built Myself an Investment Workbench Using AI

For the past two weeks, I've been immersed in Vibe Coding—using AI to write code from natural language descriptions. This process has enabled me to quickly build functional tools that address long-standing personal ideas. Previously, I had many concepts but found execution too cumbersome. Key ideas included a unified dashboard for assets across US stocks, Crypto, HK stocks, and A-shares; a real-time alert system for price movements; an investment map visualizing sector relationships; and a tool to correlate prediction market bets with news and market data. Traditional development hurdles meant these often remained unrealized. Using AI (Codex, Claude Code, and DeepSeek API), I built four initial tools: 1. A **Cross-Market Asset Dashboard** showing total assets, daily P&L, and holdings by market, with added features for alerts and sector mapping. It's deployed locally for privacy. 2. A **Prediction Market (PM) Monitor** tracking bets on events (e.g., company valuations) and correlating probability shifts with news and market movements. I categorize bets by conviction to filter noise. 3. A **Simple Operations Backend** for managing my writing workflow (topics, progress, publishing). It's cloud-deployed for mobile access. 4. A **One-Click Formatting Tool** that automates converting drafts into various platform-specific formats, saving manual effort. While these tools are basic, they represent a significant shift: AI lowers the barrier to creating personalized systems. I believe individual investors can now feasibly build core systems for: * **Asset Observation** (tracking holdings and changes) * **Signal Monitoring** (watching for key market shifts) * **Sector Mapping** (understanding network relationships within a sector) * **Performance Review** (documenting rationale and outcomes) The power of Vibe Coding is its fast feedback loop. Ideas can be implemented, tested, and iterated on rapidly, turning "want-to-do" into "done." This marks the start of my new phase, where I'll share investment thoughts, tool tests, on-chain operations, and educational Web3 content.

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After Tokenization of Assets, How to Exit?

Title: How to Exit After Asset Tokenization? Author: Symbiotic Compiled by: Hu Tao, ChainCatcher Summary: Tokenization addresses how assets go on-chain but largely leaves the redemption question unresolved. While tokenized assets can settle instantly, the underlying redemption for assets like treasuries, private credit, or real estate can take from T+1 to 180 days. This gap hinders DeFi adoption of Real World Assets (RWAs). Three emerging models aim to provide instant exit liquidity, differing primarily in their capital structure and efficiency: 1. **Balance Sheet Model (e.g., Grove Basin):** A single entity (like Sky) provides immediate liquidity from its balance sheet, acting as a bridge during the settlement period. It offers simplicity and deep initial liquidity but is constrained by a single entity's capacity and risk appetite. 2. **Asset-Specific Vault Model (e.g., Upshift Clear):** Independent liquidity providers fund dedicated vaults for each supported asset, earning fees. It decentralizes capital sources but isolates liquidity and capital per asset, leading to potential fragmentation. 3. **Shared Liquidity Layer Model (e.g., Symbiotic Liquid Lane):** A shared capital pool supports multiple RWA types simultaneously. Funds remain productive between redemptions (e.g., earning yield in lending markets). Exits are settled via a competitive RFQ market. This model aims for higher capital efficiency, scalability across assets, and serves longer-duration assets like private credit. Key differentiators are: 1) Source of capital and risk bearer, 2) Redemption pricing mechanism, 3) Capital efficiency, 4) Scalability to new asset types, and 5) Composability. The shared liquidity layer model represents a move from piecemeal solutions toward scalable infrastructure, enabling T+0 exits by pooling capital, maintaining yield, and using competitive pricing, thus enhancing RWA utility in DeFi.

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After Tokenization of Assets, How to Exit?

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After Tokenizing Assets, How to Exit?

After tokenization, a key unresolved issue is providing holders with a reliable exit mechanism, as underlying asset settlement (taking days to months) lags far behind on-chain token settlement. Three primary models for instant liquidity have emerged, differing in their capital structure and efficiency: 1. **Balance Sheet Model (e.g., Grove Basin):** A single, well-capitalized entity (like Sky) provides immediate liquidity from its own reserves. This offers simplicity and deep initial liquidity but is constrained by that single balance sheet's capacity and risk appetite, limiting scalability. 2. **Dedicated Vault Model (e.g., Upshift Clear):** Independent liquidity providers (LPs) fund separate vaults for each supported asset. This decentralizes capital sources but isolates liquidity and capital, which becomes inefficient as the number of tokenized assets grows. 3. **Shared Liquidity Layer Model (Symbiotic Liquid Lane):** Independent capital providers fund shared vaults that can support multiple tokenized assets simultaneously. Capital remains productive between redemptions (e.g., earning yield in DeFi markets). Exits are settled via a competitive RFQ market where market makers bid. The article argues that the shared layer model offers superior capital efficiency and scalability. It transforms exit liquidity from an asset-specific patch into shared market infrastructure, allowing liquidity capacity to grow with overall market participation rather than being fragmented per asset. This is particularly valuable for longer-duration assets like private credit, where reliable T+0 exits can significantly enhance their utility in DeFi.

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