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Bully (Reaver) Upgrade ~ Kali Hack

Bully is a high-performance, C-implemented wireless security utility included in Kali Linux that is designed to perform brute-force attacks against Wi-Fi Protected Setup (WPS). It exploits a well-known architectural design flaw in the WPS specification to recover WPA/WPA2 passphrases from vulnerable wireless access points. [1, 2, 3, 4]

Compared to older utilities like Reaver, Bully offers optimized CPU and memory consumption, direct handling of endianness, better anomaly detection, and fewer operational dependencies. [1, 2]

Key Capabilities & Mechanics

  • WPS Flaw Exploitation: WPS authentication validates a 8-digit PIN in two separate halves. Bully leverages this to reduce the potential problem space from 10⁸ total combinations down to just 11,000 attempts (10⁴ for the first half, 10³ for the second half).
  • Pixiewps Integration: It supports offline cracking via Pixie-Dust attacks using the -d argument, cutting down attack time dramatically if the target access point generates weak cryptographic nonces. [1, 2]
  • Adaptive Lock Handling: It includes arguments (-l, -L, -D) engineered to detect, bypass, or gracefully pause execution when routers invoke WPS lockout defense protocols. [1]
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Girl with a Pearl Earring

Girl with a Pearl Earring ~ is an oil painting by Dutch Golden Age painter Johannes Vermeer, dated c. 1665. Going by various names over the centuries, it acquired its present title towards the end of the 20th century.

The Girl with a Pearl Earring by Johannes Vermeer is officially considered priceless. Because it is a permanent part of the public trust at the Mauritshuis Museum in The Hague, it will likely never be sold on the open market

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Google Project Suncatcher satellite

A prototype of the Project Suncatcher satellite at the Planet Labs facility in San Francisco, California.

The prototype satellite has four specialty chips in it called Tensor Processing Units, or TPUs, that Google designed for machine learning and has already deployed in data centers on Earth. The chips will run a version of the company’s Gemma AI model for 15 minutes at a time due to heat management constraints, using the open weight model to answer simple queries. In a blog post, Google said the mission will gauge how the TPUs handle “the physical stress of spaceflight and the radiation and thermal extremes of space.”

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Google TPU

The Tensor Processing Unit (TPU) is a neural processing unit (NPU) application-specific integrated circuit (ASIC) developed by Google for neural network machine learning.[2] Tensorflow, Jax, and PyTorch are supported frameworks for TPU.[3] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by offering a smaller version of the chip for sale. Currently, Google Cloud generates product revenues primarily from the sale of TPU systems.

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Project Suncatcher

Google has sent its AI chips into space aboard a prototype satellite for Project Suncatcher.

Built with Planet, the spacecraft launched on SpaceX’s Transporter-18 mission on October 1. Google says contact is established and the satellite is operating normally. The experiment will study how its TPU chips handle radiation and temperature extremes.

It is an early step toward exploring future AI data centers powered by sunlight in orbit, with long-term performance and commercial feasibility still to be established.

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HoneyPot StingBox

In cybersecurity, a honeypot is a decoy computer system, network, or application designed to attract cyberattacks. It acts as a trap that mimics legitimate digital assets to detect, deflect, or analyze unauthorized access attempts without putting real operational systems or data at risk.

StingBox is a commercial, plug-and-play network honeypot and intrusion detection device designed to function as an early-warning digital tripwire for homes, small-to-medium businesses (SMBs), and managed service providers (MSPs). Founded in 2019 by Michael Aiello and Paul Williams, the StingBox Official Website platform aims to make active threat detection accessible without requiring specialized cybersecurity staff. [1, 2, 3]