Binance Wallet launches a 0 gas fee campaign for TRON network transfers, running until December 22.

Blockchain security firm SlowMist has warned that the official FOMO iOS app was found to contain malware capable of stealing cryptocurrency assets. The affected versions of the app were available on the App Store between September 9 and September 17. SlowMist stated that the malicious module has attack capabilities similar to the DarkSword malware, which could result in the theft of users’ seed phrases and private keys. Given that the FOMO app was promoted via crypto KOLs, some users may have downloaded the affected versions. SlowMist also cautioned that simply updating or deleting the FOMO app may not be sufficient to eliminate the risk; users who used the affected versions should assume their seed phrases, private keys, and sensitive credentials have been compromised, and take corresponding security measures. Additionally, SlowMist’s Chief Information Security Officer Shan Zhang previously warned that iOS versions 13 through 16.5 may be vulnerable to malicious Safari link attacks exploiting memory corruption vulnerabilities in WebKit and JavaScriptCore. Attackers can leverage these flaws to gain read and write access to the JavaScript layer, further bypass pointer authentication, escape the WebContent sandbox, and escalate kernel privileges, ultimately obtaining encryption keys and wallet data.

U.S. Treasury yields extend their upward trend, with the 2-year U.S. Treasury yield rising to 4.79%, hitting a new high for the year. (Jinshi)

According to Blockaid’s monitoring, the stablecoin miMATIC from QiDao Protocol on Polygon remains depegged, currently trading at approximately $0.86, about 14% lower than its $1 peg. Blockaid noted that the depegging situation has continued as of press time.

According to Bitget market data, spot silver has dropped 3% intraday, currently priced at $65.01 per ounce.

According to market data from BIT (Bit.com), Nasdaq 100 futures have hit their intraday low and are currently down approximately 0.2%.

Beating AI Express: Open-source computer-use infrastructure project Cua has open-sourced two S1 models specialized for computer use decision-making, and launched Cua-Bench-S1, a benchmark that evaluates models like Jev separately. This benchmark does not allow models to plan on their own. Each task provides the current interface and a set of pre-selected actions (e.g., "fill email", "check agree", "click submit", "skip"), with the model making only one selection per task. No re-screening of the interface or failure retries are permitted. This setup tests one core question purely: what is the next step? The two open-sourced models take different approaches: The Nano version has only ~855,000 trainable parameters, trained from scratch, and is specialized for scoring candidate actions. The 4B version uses Qwen3.5-4B as its base model, fine-tuned into the same "multiple-choice model" framework. The former prioritizes minimal size and speed, while the latter leverages the large model’s inherent comprehension for stronger generalization. Beyond common tasks like form filling, login, and search, the benchmark also includes security judgment, chess, Doom, and JevBench. The latter tasks are intentionally excluded from the models’ training data, to test their ability to make correct decisions outside familiar scenarios.