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#threatmodel

2 posts2 participants0 posts today

Some of my colleagues at #AWS have created an open-source serverless #AI assisted #threatmodel solution. You upload architecture diagrams to it, and it uses Claude Sonnet via Amazon Bedrock to analyze it.

I'm not too impressed with the threats it comes up with. But I am very impressed with the amount of typing it saves. Given nothing more than a picture and about 2 minutes of computation, it spits out a very good list of what is depicted in the diagram and the flows between them. To the extent that the diagram is accurate/well-labeled, this solution seems to do a very good job writing out what is depicted.

I deployed this "Threat Designer" app. Then I took the architecture image from this blog post and dropped that picture into it. The image analysis produced some of the list of things you see attached.

This is a specialized, context-aware kind of OCR. I was impressed at boundaries, flows, and assets pulled from a graphic. Could save a lot of typing time. I was not impressed with the threats it identifies. Having said that, it did identify a handful of things I hadn't thought of before, like EventBridge event injection. But the majority of the threats are low value.

I suspect this app is not cheap to run. So caveat deployor.
#cloud #cloudsecurity #appsec #threatmodeling

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@ct_Magazin

Threat Modelling ist hier extrem relevant.

Tails hat ein bestimmtes #ThreatModel
- amnesic
- live
- incognito

Da ist kaum etwas mit Prozessisolierung, wie es #Flatpak und #Bubblejail tun, und #QubesOS meistert

Und dass man damit auf einem beliebigen PC sicher sein kann ist leider auch ein falsches Versprechen. #Coreboot ist essentiell weil es minimal ist. Auf unterster Ebene sollte kaum Code laufen. Intel ME sollte aus sein. #Heads ist auch wichtig.

@3mdeb @novacustom @tlaurion

okay @obsidianmd after a ton of scrolling around for the last week i hearby endorse Smart Second Brain for integrating local AI into your notetaking and #PKM practices.

github.com/your-papa/obsidian-

it can use #ollama and any models you fetch for it are available to Obsidian, as are the new embeddings models for doing RAG. i've forked a vault of #threatmodel cards i use and am about to get weird /flex

#smart2Brain seems to be the safest and easiest which hardly ever happens. well done. #obsidian

GitHubGitHub - your-papa/obsidian-Smart2Brain: An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter!An Obsidian plugin to interact with your privacy focused AI-Assistant making your second brain even smarter! - your-papa/obsidian-Smart2Brain

friends, rivals, luminaries of #infosec: i had a #threatModel recently involving an #LDAP service and the team has a challenge. they don't have a great way to throttle or limit the volume of requests they answer, and when someone's running a credential stuff against a service there can be as many as 100s of millions of invalid requests over a couple of hours and they just have to soak it up and i don't like seeing that.

obviously we could use a WAF for the web services but what about LDAP?

alright #infosec what do i need to know about software #HSM versus hardware modules when considering the challenges both present? i ordinarily favor hardware but as a pragmatic #threatmodel architect i need to be aware of the possible shortcomings of either and i think i have a good understanding, but the requirements from #3gpp are somehow less helpful than pci-dss when it comes to design decisions 😂 cc: @ducksauz