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TRX $0.3323 -0.49%
DOGE $0.0693 -1.17%
ADA $0.1792 -2.61%
BCH $203.19 -5.07%
LINK $8.81 +0.08%
HYPE $56.00 -3.24%
AAVE $85.83 -2.56%
SUI $0.6768 -2.00%
XLM $0.1595 -0.37%
ZEC $485.09 -1.28%

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Gray Research Director: ETH and SOL may face supply contraction, and the reduction of inflation mechanisms will strengthen token scarcity

Grayscale Research Director Zach Pandl stated that the two major blockchain networks, Ethereum (ETH) and Solana (SOL), are considering adjusting their token economic models to enhance asset scarcity by reducing future token supply growth through lowering annual inflation rates. As important native assets supporting stablecoins and tokenized asset ecosystems, the prices of ETH and SOL are primarily determined by supply and demand dynamics. If the relevant code upgrade proposals are approved, under unchanged conditions, lower supply growth may provide support for token prices.According to Grayscale's analysis, if the relevant adjustments are implemented, the supply inflation rates of BTC, ETH, and SOL will continue to decline over the next five years. By the end of 2031, the annual inflation rates for Bitcoin and Ethereum are expected to be around 0.4%, and Solana around 1.1%, which is lower than gold's annual supply growth rate of about 1.8% and the U.S. CPI inflation level of about 3.3%. Currently, these token economic adjustments are still in the community discussion phase. Among them, the Solana-related proposal has gained broader support and has a higher likelihood of implementation; the Ethereum proposal still requires further discussion.If the adjustments are implemented, staking users may face reduced token rewards, as part of the staking income comes from the issuance of new tokens. However, due to the decline in the growth rate of circulating supply, the scarcity value of the tokens may increase, potentially providing price support. For ETH and SOL holders who do not participate in staking, they may benefit directly; the final returns for stakers will depend on the balance between the decrease in rewards and the increase in prices. Zach Pandl concluded that ETH and SOL are becoming important digital commodities supporting stablecoins and the tokenization of real assets, and the economic model adjustments aimed at reducing inflation may further strengthen their scarcity attributes.

153 stolen addresses contain 132.95 BTC, and researchers are still unable to reproduce the Coldcard attacker's seed

According to monitoring by Bitcoin News, new research published by @PraveenPerera shows that Coldcard attackers seem to first identify addresses with vulnerabilities, then sort them by the amount of Bitcoin held, starting to transfer in batches from the addresses with the highest holdings. The transfer software used was relatively crude.One address had 225 spendable UTXOs, and the attackers extracted exactly the latest 200, leaving the earliest 25, which included a UTXO worth 0.16 BTC. This aligns perfectly with the limitation of a blockchain API investigated by researchers, which defaults to returning 200 records, indicating that the attackers may have failed to load the next page of data. The software even spent a UTXO of 294 satoshis, reportedly increasing the transaction fee by about 2040 satoshis, with the spent amount significantly higher than the value of the UTXO itself.The authors of the study believe that the builders of this tool may have a better understanding of the account balance system than of the Bitcoin UTXO model. Although the attackers seem to have obtained the complete seed of the victims, at least 75 BTC still remain in other addresses derived from the same seed. The biggest suspicion currently is that among the 153 stolen addresses, there are still 132.95 BTC, and researchers have been unable to reproduce the seed behind these addresses, so it cannot be ruled out that the attackers obtained undisclosed private device data or candidate data.

OpenAI launches the GPT-5.6-Cyber model, enhancing vulnerability discovery and security research capabilities

OpenAI announced the expansion of its cybersecurity defense program Daybreak and launched the GPT-5.6-Cyber model specifically for the cybersecurity field, aimed at helping authorized security researchers and defense teams enhance their vulnerability discovery, threat analysis, and security testing capabilities. As attackers increasingly leverage AI to launch faster and larger-scale cyberattacks, defenders need to gain advanced AI capabilities in advance.This Daybreak offers two types of access: Daybreak Blue is aimed at most defense teams, providing general models such as GPT-5.6 Sol for vulnerability discovery, secure code review, malware analysis, incident response, and patch validation; Daybreak Red is aimed at advanced security research, providing GPT-5.6-Cyber for authorized vulnerability research, vulnerability validation, and security testing. GPT-5.6-Cyber is trained on GPT-5.6 Sol and optimized for cybersecurity tasks, including discovering zero-day vulnerabilities and analyzing exploit chains. It has been used in actual vulnerability research and has identified high-risk vulnerabilities in software, including the Chrome V8 JavaScript engine. Additionally, OpenAI stated that GPT-5.6-Cyber has also helped discover high-risk vulnerabilities in various domains, including privilege escalation vulnerabilities in mobile operating systems, remote code execution vulnerabilities in databases, and hundreds of privilege escalation vulnerabilities in operating system kernels.OpenAI also emphasized that Daybreak Red will only be accessible to approved individuals and organizations, controlling access through measures such as authentication, account security, monitoring, usage restrictions, and legal disclaimers. The company stated that it will continue to strengthen security monitoring, access management, and model security testing to reduce the risk of advanced cybersecurity models being abused.
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