Crea un profiloAccedi

Ricerche recenti

Nessuna ricerca recente

Opzioni di ricerca

Disponibile solo dopo aver effettuato l'accesso.
mastodon.uno è uno dei tanti server Mastodon indipendenti che puoi usare per partecipare al fediverso.
Mastodon.Uno è la principale comunità mastodon italiana. Con 75.000 iscritti è il più grande nodo Mastodon italiano: anima ambientalista a supporto della privacy e del mondo Open Source.

Amministrato da:

Statistiche del server:

6,7K
utenti attivi

mastodon.uno: InfoStatoCartella dei profiliPolitica sulla privacy

Mastodon: InfoScarica l'appScorciatoie da tastieraVisualizza il codice sorgentev4.3.7

#threatmodel

2 post2 partecipanti0 post oggi
Pubblico
🌻

Meine Datenschutz und Privatsphäre Übersicht 2025, für die Allgemeinheit 🕵️‍♂️

Teilen er­be­ten ‼️ :BoostOK:

als PDF:

cryptpad.digitalcourage.de/fil

 #DSGVO #TDDDG ( #unplugtrump )
#Datenschutz #Privatsphäre #sicherheit #Verschlüsselung
#encryption #WEtell #SoloKey #NitroKey #Email #Cybersecurity #Pixelfed #Massenűberwachung
#Google #Metadaten #WhatsApp #Threema #Cryptpad #Signal
#Hateaid #Cyberstalking #Messenger #Browser #Youtube #NewPipe #Chatkontrolle #nichtszuverbergen #ÜberwachungsKapitalismus #Microsoft #Apple #Windows #Linux #Matrix #Mastodon #Friendica #Fediverse #Mastodir #Loops #2FA #Ransomware #Foss #VeraCrypt #HateAid #Coreboot #Volksverpetzer #Netzpolitik #Digitalisierung #FragdenStaat #Shiftphone  #OpenSource #GrapheneOS #CCC #Mail #Mullvad #PGP #GnuPG #DNS #Gaming #linuxgaming #Lutris #Protondb #eOS #Enshittification
#Bloatware #TPM #Murena  #LiberaPay #GnuTaler #Taler #PreppingforFuture
#FediLZ #BlueLZ #InstaLZ #ThreatModel
#FLOSS #UEFI #Medienkompetenz

meine IT Sicherheits Liste !!!
Pubblico
Paco Hope #resist

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

A typical AWS serverless architecture from the blog that I linked to. It shows a very large box representing an AWS account, and bunch of smaller boxes containing icons, with each box representing a capability (like file upload, users and authentication, etc). Inside each of those boxes are some icons representing services, like Lambda, IAM, Cognito, S3, etc.
An screen capture of a list of things in a web browser. The table header is labeled "Flows" and it lists flows like the following: End users authenticate through web browsers or mobile devices via Amplify and CloudFront to Cognito User Pools, potentially using External Identity Provider integration. Source: End Users, Target: Cognito User Pools Authenticated users make API requests through CloudFront and API Gateway to access backend services. Source: End Users. Target: API Gateway API Gateway routes authenticated requests to appropriate Lambda functions for processing. Source: API Gateway. Target: Lambda Functions
An screen capture of a list of things in a web browser. The table header is labeled "Assets" and it lists things like the following: End Users: Users that access the application through web browsers or mobile devices, interacting with the frontend interfaces External Identity Provider: Third-party authentication service integrated with Cognito for user authentication and authorization API Gateway: Manages all API requests, acts as the primary entry point for backend services, controls access to Lambda functions and business logic
A screenshot of a table in a web page. The header is labeled "Trust Boundary" and it contains items like: Public-to-private network boundary separating internet users from AWS cloud resources. Source: End Users. Target: CloudFront Distribution Authentication boundary validating user identity before allowing access to backend resources. Source: End Users. Target: Cognito User Pools External authentication service integration boundary. Source: Cognito User Pools. Target: External Identity Provider
#ai#threatmodel
Pubblico
arutaz
I don't feel good mentally, and most of that is because of my obsession with privacy and security.

I have never done any threat modeling, but instead wanted to hide everything, from everyone, all the time.

This is certainly not something I need, and it's very exhausting to try to live like that.

So now I have actually done threat modeling, and I hope and think, that this will easy my mind, and my life.

#Privacy #Security #Health #MentalHealth #ThreatModel #ThreatModeling #Serenity #PeaceOfMind
#peaceOfMind
Pubblico
Todd A. Jacobs | Pragmatic Cybersecurity

#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

duckduckgo.comDuckDuckGo AI Chat at DuckDuckGoDuckDuckGo. Privacy, Simplified.
Ha risposto nella discussione
Pubblico *
boredsquirrel

@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

EsploraFeed dal vivo
Info