Offline Memory Forensics With Volatility
Volatility is a memory forensics tool that can pull SAM hashes from a vmem file. These hashes can be used to escalate from a local user or no user to a domain user leading to further compromise.
Volatility is a memory forensics tool that can pull SAM hashes from a vmem file. These hashes can be used to escalate from a local user or no user to a domain user leading to further compromise.
You may have read some of our previous blog posts on Artificial Intelligence (AI). We discussed things like using PyRIT to help automate attacks. We also covered the dangers of […]
Go-Spoof brings an old tool to a new language. The Golang rewrite [of Portspoof] provides similar efficiency and all the same features of the previous tool but with easier setup and useability.
In this video, Michael Allen discusses how to test Adversary-in-the-Middle attacks without using hacking tools. He delves into the intricacies of credential harvesting, the evolution of multi-factor authentication (MFA), and how attackers adapt their strategies to bypass security measures.
I’ve been a web application pentester for a while now and over the years must have found hundreds of cross-site scripting (XSS) vulnerabilities.1 Cross-site scripting is a notoriously difficult problem […]
In this video, John Strand and his team discuss the challenges of setting up and running wireless labs, particularly focusing on the issues faced during Wild West Hackin’ Fest events. They highlight the development of an open-source project aimed at virtualizing wireless labs, which allows learners to practice wireless hacking techniques without needing physical hardware.
This webcast originally aired on February 27, 2025. Join us for a very special free one-hour Black Hills Information Security webcast with Corey Ham & Kelli Tarala on why your […]
In the world of cybersecurity, it’s important to understand what attack surfaces exist. The best way to understand something is by first doing it. Whether you’re an aspiring penetration tester, […]
RAG connects pre-trained LLMs with current data sources. Moreover, a RAG system can use many data sources.