Forensics
Scope: Where each component writes logs, what it records, what it doesn’t, defaults, and the forensic/detection implications for the lab. Basis: Verified against the running lab (Ollama 0.32.1 on the Windows host + remote 3090; Agent Zero container, Kali-based image). Paths/behaviors confirmed live where noted.
Read more “Logging Reference — Ollama & Agent Zero”
Research
What better way to test than to eat ones own dogfood right! This site runs WordPress, it is fronted by Cloudflare, has wordfence and has automatic patching enabled (the default) in WordPress. So what better example to show that we can use an LLM + LLM created scripts to conduct assurance activities. This is mixing deterministic and non deterministic technologies to test and then assess.
Read more “Using an LLM for assurance (WP2SHELL)”
AI
We are already watching the fear, uncertainty and doubt industry spin up around AI. It follows a pattern anyone who has sat through a vendor pitch will recognise: take a real, narrow signal, strip out the caveats, and inflate it until it fills a keynote slide or a board paper. The problem is not that AI carries no risk. It carries plenty. The problem is that the loudest claims are almost always the least accurate, and the people making them usually have something to sell — a model, a defence against one, or a regulatory moat.
So let’s take the three narratives I keep hearing, put them next to the evidence, and separate the kernel of truth from the theatre.
Read more “AI: Fear it, so I can sell you the cure!”
AI
Ok full disclosure, because you know I like to say when I’m using ‘AI’, this post is specifically mostly created by an LLM. Because it’s an interesting experiment and I don’t claim to be an ‘AI’ model creation and platform expert, so let’s see if using an LLM can help me! I was in a meeting along time ago at MS Victoria with some people (can’t imagine what types of people that would be) and we were talking about this tech, it was so long ago I can’t remember the details or anyones faces (useful that)… but the convo was really good, anyway, so what is an LLM and how does it work?
Read more “How do LLMs work?”
Leadership
In a world now seemingly filled with mad probability robots you might think this makes the world simpler, I’m not so sure…. More code, faster, more tools, faster, more technical debt, faster… and then what of the erosion of the human importance? Well human 2.0 is probably augmented not redundant… and who doesn’t love a bit of Deus Ex! Now full disclosure this blog is guided by me but written by Claude (mostly), why? Why not? I’m still here, guiding things, writing this intro by hand, but the concepts of cyber security, the foundations and underpinning logic, well they are probably older than me! I’m not talking about castles and moats, but even they play a part in our understanding of attack and defence. There’s even a bit of a public wifi link here if you read between the lines. Not every threat actors is all knowing and all powerful (in fact no one is!). So let’s see what Claude Opus 4.8 has to say about the topic:
Read more “You Can’t Defend Everything: Threat Modelling as an Economics Problem”
Leadership
Our cyber world is full of myths and FUD:
Attackers only have to be right once, Defenders have to be right all the time!
Firstly, let’s cut straight to the chase, I can only assume that someone who says this is ignoring or is unaware of how computer systems and intrusions work. But surely this is a true phrase, I’ve seen it repeated over and over again on LinkedIn, so it must be true right?
Read more “Cyber Myth: Attackers only have to be right once, Defenders have to be right all the time!”
Threat Intel
I like to show what LLMs do and don’t do with and without human management, so here’s a near one shot of some honeypot data from Defused. We take two exploit packets and have Claude with Opus 4.8 analyze them. We did give it specific instructions to use the vendor CVE information rather than third party sources.
Read more “Unifi Exploitation in the Defused Honeypots”
Threat Intel
‘An improper neutralization of special elements used in an OS command (‘OS Command Injection’) vulnerability [CWE-78] in FortiSIEM may allow an unauthenticated attacker to execute unauthorized code or commands via crafted TCP requests.’
https://www.fortiguard.com/psirt/FG-IR-25-772
This analysis was conducted using data from Defused, enrichment from IPINFO and SHODAN and then analysis using an LLM (GROK) (so take the analysis with a pinch of salt):
Read more “FortiSIEM CVE-2025-64155 Exploitation Analysis”
AI
Ok, it’s late, and well I wanted to look into cyber attacks where social engineering is a key component combined with technical hacking skills.
There’s been a growing number of these style events, so I tasked GROK to create an assessment for me, let’s see how it did! Let’s both try and answer the questions:
Can GROK replace intelligence officers and can GROK help us defend better against social engineering + technical attacks? What do you think? (please take all of this with a pinch of salt… LLMs are known to make mistakes/hallucinate/lie in a very convincing manner)….
they look nice…. but looks can as we know, be deceiving! (is the entire blog just a social engineering experiment by me?)
Read more “Can AI replace intelligence analysts?”
News
Currently there appears to be a relatively significant cyber security incident at Marks and Spencer. So I thought I would give a demo of using AI (LLM, GROK) to create a timeline:
(since this is generated by an LLM please take this with a health pinch of salt, I wanted however to show the actual content and method I’ve used so people can understand it)