The Balancer Protocol announced that hackers had targeted its v2 pools, with losses reportedly estimated to be more than $128 million. Balancer is a decentralized finance (DeFi) protocol built on the ...

Balancer suffered a reported exploit resulting in losses of over $128.6 million. Initial stolen assets include 6,587 WETH, 6,851 osETH, and 4,260 wstETH. The incident marks another major breach for ...

Balancer attacked across multiple blockchain. Exploits affected Balancer v2. Several Balancer forks also impacted. On Monday, Balancer, a DeFi liquidity protocol with $678 million in investor assets, ...

Update Nov. 3, 10:42 am UTC: This article has been updated to include a section on Berachain’s emergency hard fork. Update Nov. 3, 9:47 am UTC: This article has been updated to add the latest figures, ...

The Cardio Load calculation is a metric the Fitbit app uses to suggest how much Pixel Watch and Fitbit users should exercise, but it can be hard to understand. It's also recently been updated for the ...

The study showed no link between load-managed players and a decreased risk of injury. Shaun Powell The NBA sent data from an exhaustive study to its teams this week that showed no link between ...

Buried inside the news from the VMware Explore event were a series of security related updates. The big headline was the expansion of security for AI, but there is more to the story. A core element of ...

The Pakistani APT36 cyberspies are using Linux .desktop files to load malware in new attacks against government and defense entities in India. Although the attacks described in the two reports use ...

Built on eBPF technology, the Isovalent Load Balancer is designed to run in any environment, from servers and virtual machines in the data center, to the public cloud, to Kubernetes containers. Since ...

If you work with text files on Linux or Unix systems, you’ll eventually come across the diff command. The diff command is one of the most useful tools for comparing two files to find what’s changed.

router for data-driven, workload-aware scheduling. Our router distributes queries across LLM instances by using a trainable responselength predictor and a novel formulation for estimating the impact ...