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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

i have debilitating #imposterSyndrome 😆 25y experience in #security, but i know for a fact that i am unusually good at facilitating a #threatmodel. you have to get people to trust you enough to tell you things they don't feel great about or would do differently after we meet but that's the thing— together we create remediation plans that let people do their best work & they weave security and privacy into their work and when you meet again you can see how much better things are, it's parade time

Continued thread

it's lucky for some team out there that i find few things are as satisfying as transmogrifying a team of 3 into a team of 9. or 90 into 270.

even i know that's good math! they start spotting problems before they get in front of me for their second and third #threatmodel.

i have experience in managed services, vuln management, IR, forensics, cloud architectures, saas vendors, HPC, docsis/fiber/firewalls/ids/ips/MFA/u2f/pki🤷 🤓

that #seaArt site is starting to become a real problem. I'm seeing entirely too many prompts for Cute Things paired with age ranges and of you select the right lora or checkpoint it's very easy to generate a pile of images of all kinds including ones that would look a lot like Abuse Material and i know some legislatures have been adding laws about preventing that scenario and the irony of an AI self-policing itself is too much.

i wonder if they've been running a #threatmodel quarterly? 😬 #ai

#DuckDuckGo is now offering free, #anonymized access to a number of fast #AI #chatbots that won't train in your data. You currently don't get all the premium models and features of paid services, but you do get access to privacy-promoting, anonymized versions of smaller models like GPT-4o mini from #OpenAI and open-source #MoE (mixture of experts) models like Mixstral 8x7B.

Of course, for truly sensitive or classified data you should never use online services at all. Anything online carries heightened risks of human error; deliberate malfeasance; corporate espionage; legal, illegal, or extra-legal warrants; and network wiretapping. I personally trust DuckDuckGo's no-logging policies and presume their anonymization techniques are sound, but those of us in #cybersecurity know the practical limitations of such measures.

For any situation where those measures are insufficient, you'll need to run your own instance of a suitable model on a local AI engine. However, that's not really the #threatmodel for the average user looking to get basic things done. Great use cases include finding quick answers that traditional search engines aren't good at, or performing common AI tasks like summarizing or improving textual information.

The AI service provides the typical user with essential AI capabilities for free. It also takes steps to prevent for-profit entities with privacy-damaging #TOS from training on your data at whim. DuckDuckGo's approach seems perfectly suited to these basic use cases.

I laud DuckDuckGo for their ongoing commitment to privacy, and for offering this valuable additional to the AI ecosystem.

duckduckgo.com/chat

Replied in thread

@aleidk I replaced “mobile phone account“ with “mobile phone provider account” to be clearer about what I meant.

For banks (in the EU), AFAIK there is a strong reason why they never even mention FIDO2: for a transaction at least, the device where validation is performed must give basic info on the transaction: seller and amount.

Another point: the software support depends on site, browser (e.g., Firefox desktop != Firefox mobile), type of key, physical communication protocol (like USB vs. NFC). I made a lot of tests with various sites and my USB-A and USB-C keys, sometimes using NFC, other times USB. Some combinations don't work, or worked at some point and not later (or worked with Chrome but not Firefox, etc.). This can be quite stressful or even dangerous if this is for an important account and you have no backup plan (⇒ don't). And if the backup options are 1) exploitable in your threat model and 2) not very secure, this obviously reduces or nukes the advantage of using a security key in the first place.

A typical backup option which is not insecure from my POV if well handled is a set of recovery codes, but for this you need to store them very carefully, safely... and not forget how to access them in x years! In these conditions, setting up a new account requires “some work”.

And I say all this despite wishing FIDO2 great success, 'cause SIM swapping attacks in particular are quite scary given how much important stuff still depends on codes sent by SMS. 😐

Replied in thread

@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

reclaimyour.tech/posts/technic

In this post, I describe #privacy #threatmodeling by using the excellent privacyguides.org site as a primary resource.

I give an example threat model with strengths and weaknesses. I encourage readers to tweak it to better suit their needs.

Reminder: Replies to this toot will appear in the link's comment section.

Reclaim Your TechPrivacy Threat ModelingA key responsibility involved in owning your own digital infrastructure is privacy threat modeling. What is Privacy Threat Modeling? According to priv…

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