# Security Related Articles

HTX News Center provides the latest articles and in-depth analysis on "Security", covering market trends, project updates, tech developments, and regulatory policies in the crypto industry.

Tron Network's USDT Issuance Surpasses Ethereum, Once Again Becoming the World's Largest USDT Issuance Network

According to Tether's official data, as of August 13, 2026, the supply of USDT on the TRON network has increased by another $10 billion, reaching $91.2 billion. This has once again surpassed the USDT supply on the Ethereum network ($90.3 billion), making TRON the largest USDT issuance network globally. This milestone reinforces TRON's dominant position in the stablecoin sector and highlights the sustained appeal of its low-fee, high-efficiency settlement network for global stablecoin capital. The growth of TRC20-USDT is driven by genuine, sustainable demand. By August 2026, TRC20-USDT issuance on TRON exceeded $91.2 billion, with approximately 75.47 million holding accounts. TRON consistently handles about half of all global USDT transactions. Data shows TRON dominates in retail and small-to-medium value transfers, with its main use case being direct peer-to-peer value transfers for purposes like remittances, merchant payments, and freelance settlements. In Q1 2026 alone, TRON processed approximately $2.04 trillion in USDT transfer volume. TRON is also strengthening its infrastructure through broader ecosystem access, user experience improvements like GasFree mechanisms, and enhanced security governance. A key initiative is the T3 Financial Crime Unit (T3 FCU), a collaboration between TRON, Tether, and TRM Labs. By May 2026, T3 FCU had frozen over $450 million in illicit assets across 23 jurisdictions, demonstrating how blockchain transparency combined with public-private cooperation can improve response efficiency. Simultaneously, TRON is expanding into new frontiers like AI with the launch of B.AI, positioning it as financial infrastructure for the AI Agent era. This move signals TRON's evolution from the world's largest stablecoin settlement network toward becoming foundational infrastructure for the AI and Web3 economy. TRON's USDT competitiveness is thus transitioning from "volume accumulation" to "quality enhancement," focusing on optimizing performance, security, and accessibility for global digital value transfer.

marsbit08/13 09:41

Tron Network's USDT Issuance Surpasses Ethereum, Once Again Becoming the World's Largest USDT Issuance Network

marsbit08/13 09:41

Uncovering the Secret Reasoning Chains of Claude Opus for $720: A Leak via Haiku, with GPT and Gemini Also Affected

Researchers discovered a method to extract hidden reasoning traces, or "Chain of Thought" (CoT), from major proprietary large language models (LLMs) like Anthropic's Claude Opus 4.8, OpenAI's GPT-5.6 Sol, and Google's Gemini 3.1 Pro. The attack exploits a design flaw in how these models handle encrypted reasoning "blobs." These blobs, which contain a model's internal reasoning steps, are encrypted and sent to the client for storage between conversation turns to save server costs. The researchers found these blobs were encrypted with a global key, allowing them to be reused across different sessions, users, and, crucially, different models from the same company. By taking an encrypted reasoning blob generated by a powerful "flagship" model and feeding it to a smaller, less capable model from the same family (e.g., feeding Claude Opus's blob to Claude Haiku), the researchers could prompt the smaller model to divulge the hidden CoT. This bypassed the need to crack the encryption directly. The implications are significant: 1) Competitors could potentially distill high-value reasoning data at low cost (estimated at ~$720 for 10,000 traces). 2) Sensitive information like API keys, passwords, and personal emails, which models might process internally but not output, could be leaked. The team found such leaks in 4.9% of analyzed public agent logs. 3) Models might internally analyze dangerous queries (e.g., car theft methods) before refusing to answer, but this dangerous analysis could be extracted from the CoT. 4) Malicious instructions could potentially be hidden within a reasoning blob to influence a model's future behavior. While the vulnerability was responsibly disclosed and patched by the affected companies, the research highlights a fundamental tension between the convenience of portable reasoning states and security. The paper also notes preliminary tests found no clear evidence that open-source models like DeepSeek had been distilled from the extracted CoTs.

marsbit08/13 00:16

Uncovering the Secret Reasoning Chains of Claude Opus for $720: A Leak via Haiku, with GPT and Gemini Also Affected

marsbit08/13 00:16

Bitcoin Policy Institute Calls on AI Developers to Provide Crypto Infrastructure Defenders with Access to Advanced Models

The Bitcoin Policy Institute (BPI) has issued an open letter urging leading AI developers to grant trusted access to advanced AI models for defenders of critical crypto infrastructure. Analysts warn that sophisticated AI systems, capable of analyzing large codebases and finding vulnerabilities, could be leveraged by malicious actors before open-source defenders can use them, posing a significant risk to the trillion-dollar digital asset ecosystem. Vulnerable points include wallets, signing devices, cryptographic libraries, node software, exchanges, and payment networks. BPI highlights that developers of key open-source projects like Bitcoin Core currently lack access to the specialized cybersecurity programs and most powerful AI models available to leading AI labs and their partners. This creates a dangerous asymmetry. The institute calls on AI labs to establish or expand permanent trusted access programs, providing qualified developers and researchers with early, supervised access to cutting-edge models, sufficient computing resources for security audits, secure environments for analyzing sensitive code, and direct channels for vulnerability disclosure and coordinated fixes. The goal is to enable defenders to identify and patch security flaws before attackers can exploit them. BPI also urges the crypto industry to assist AI labs in identifying reliable participants for such access programs and coordinating response efforts.

cryptonews.ru08/12 12:14

Bitcoin Policy Institute Calls on AI Developers to Provide Crypto Infrastructure Defenders with Access to Advanced Models

cryptonews.ru08/12 12:14

活动图片