Advanced malware often uses a droppers, which are small payloads designed to download the next stage of the malware from the C2. You'll have to reverse engineer the first stage to get the next.

About The Guest(s): Nenad Zarick is a cybersecurity expert and the founder of Trickest, a platform that automates offensive security workflows. With over 15 years of experience in the field, Nenad has a deep understanding of bug bounty programs and the importance of automation in cybersecurity. Summary: In this episode, Phillip interviews Nenad Zaric, the…

We don’t need another engineer, we need a PM. I teased that I was on a podcast with Marc Maiffret of BeyondTrust recently, and the episode is out now! In it I talk about my super-unusual path into ...

I've released a new version of my tool for creating annotated presentations. I use this to turn slides from my talks into [posts like this one](https://simonwillison.net/2025/May/15/building-on-llms/)...

I presented a three hour workshop at PyCon US yesterday titled Building software on top of Large Language Models. The goal of the workshop was to give participants everything they …

Despite the Department of Defense spending $14 billion a year on cyber forces and technology, U.S. military cyber forces have never met the department’s

Researchers in “natural language processing” tried to tame human language. Then came the transformer.

Threat hunting is made easier and simpler by combining the power of Censys, GreyNoise, CursorAI, and Censeye.

A Pattern Language For Agentic AI(Note: The book is in constant development and may change with new AI developments)This document provides a detailed briefing on the main themes and important ideas pr...

Larger models can pull off a wider variety of feats, but the reduced footprint of smaller models makes them attractive tools.

The robots wrote me a Fly Machine debugger.

REcon 2024 Repo, slides for talk "GOP Complex: Image parsing bugs, EBC polymorphic engines and the Deus ex machina of UEFI exploit dev"" - ic3qu33n/REcon2024-GOP-Complex

DistrictCon is a DC hacker con, focusing on hacking together and exchanging ideas over typical talk tracks. We want to grow the community through action and engagement that focuses on the greater go...

In this post, I will explain my current thinking about neural networks. In a previous post I explained the intuition behind my "origami vie...

A young computer scientist and two colleagues show that searches within data structures called hash tables can be much faster than previously deemed possible.

About The Guest(s): Nenad Zarick is a cybersecurity expert and the founder of Trickest, a platform that automates offensive security workflows. With over 15 years of experience in the field, Nenad has a deep understanding of bug bounty programs and the importance of automation in cybersecurity. Summary: In this episode, Phillip interviews Nenad Zaric, the founder of Trickest, a platform that automates offensive security workflows. Nenad shares his background in cybersecurity and how he got started in bug bounty programs. He emphasizes the importance of automation in bug bounty and explains how Trickest can help bug hunters optimize their efforts. Nenad gives a live demo of the platform, showcasing its features and capabilities. He also discusses the scalability of the platform and the benefits of automation in the future of cybersecurity. Key Takeaways: Bug bounty hunters need to automate their workflows to be successful.Trickest allows users to easily automate offensive security workflows without the need for manual scripting.The platform integrates various tools and provides a visual interface for building workflows.Users can schedule workflows and execute them on multiple machines for scalability.Automation is the key to the future of cybersecurity and can save time and improve efficiency. Nenad's and Trickest's social media and website: https://twitter.com/ZaricNenad_ https://www.linkedin.com/in/nenad-zaric/ https://twitter.com/trick3st https://www.linkedin.com/company/trickest/ https://trickest.com/

We explore what MCP is, how it changes the way AI interacts with tools, what developers are already building, and the challenges that still need solving.