cloudgoat VS BloodHound

You can check out the documentation of the scenarios, they list the created AWS resources. The ones I checked looked either free or cheap to me. No guarantee of course and usage can also generate cost.

   https://github.com/RhinoSecurityLabs/cloudgoat/blob/master/scenarios/vulnerable_lambda/README.md

https://github.com/RhinoSecurityLabs/cloudgoat/blob/8ed1cf0e...

Is there something I'm missing?

I tried viewing the other lambda function first, since it's a privilege with the lambda_agent role. I referred to here to help with the code.

https://github.com/RhinoSecurityLabs/cloudgoat Good alternative for low cost

Settle your horses. In this post, we will be using CloudGoat. CloudGoat is Rhino Security Labs' "Vulnerable by Design" AWS deployment tool. It allows you to hone your cloud cybersecurity skills by creating and completing several "capture-the-flag" style scenarios. CloudGoat.

Tryhackme and hackthebox are nice (vulnhub as well), also good to spin up some VMs to test stuff/techniques on. Learn some programming as well. If you're doing cloud testing, Cloudgoat is pretty good (you'll need an aws account first). If web testing, Burpsuite is very helpful. If doing intranet testing, try familiarizing yourself with SysInternals, maybe also Bloodhound, Nmap, etc. Tbh pentesting is a big field in and of itself. Might sometimes feel a bit overwhelming.

Tool Language Url Notes SharpHound .NET 4 executable https://github.com/BloodHoundAD/SharpHound/ Also possible to be executed in-memory using Cobalt Strike, check @william_knows’ blog post AzureHound PowerShell https://github.com/BloodHoundAD/AzureHound/ Specifically for Azure environments, outside of the scope of this article SharpHound.ps1 PowerShell https://github.com/BloodHoundAD/BloodHound/ Available from the Collectors folder. Using PowerShell reflectively loads the embedded SharpHound.exe .NET executable. It exposes the Invoke-BloodHound function which calls the main function of the SharpHound binary. SharpHound.py Python https://github.com/fox-it/BloodHound.py/ Python version of SharpHound ADExplorerSnapshot.py Python https://github.com/c3c/ADExplorerSnapshot.py/ Convert Sysinternals ADExplorer snapshots to BloodHound-compatible JSON files. BOFHound Python https://github.com/fortalice/bofhound/ Generate BloodHound compatible JSON from logs written by ldapsearch BOF and pyldapsearch.

Run Sharphound and bloodhound Bloodhound. It is excellent in determining relationships and privilege escalation paths that would allow the access.

BloodHound is a web application that identifies and visualizes attack paths in Active Directory environments. It identifies the fastest series of steps from any AD account or machine to a desired target, such as membership in the Domain Admins group. Regularly checking your AD using BloodHound can be an effective defense mechanism that helps you ensure that compromising an account or machine doesn’t enable an attacker to compromise your domain.

Bloodhound - AD attack path management/enumeration

I solved it by grabbing a new version of Sharphound.ps1 on the attack box, you can find it here: https://github.com/BloodHoundAD/BloodHound/tree/master/Collectors.

No live event would be complete without sessions. There were over 30 speakers who covered topics from starting a career in InfoSec, to in-depth sessions about using specific tools like BloodHound. Here are just a few high-level themes and highlights. All of these sessions, including mine, will be made available on the BSidesSLC YouTube channel soon.

If you're planning to use Active Directory and/or Azure AD, run ADRecon/AzureADRecon and Bloodhound frequently and review in depth. Run ScoutSuite frequently and review as part of a normal operational cycle (e.g., at weekly team meetings make the results available and set aside 15 minutes to discuss and make assignments). Look critically at where these three tools overlap within two or three degrees of separation from your jump hosts (e.g., hosts/nodes that are one or two devices away and users/security groups that are one or two devices away) for help prioritizing when you have too many high-risk/high-impact items to look through.