LaZagne VS BloodHound

I tried to use https://github.com/AlessandroZ/LaZagne but it only tried a dictionary of 500 passwords + tries to bruteforce 3 lenght passwords.

You can use Lazagne to get the passwords saved in browsers - https://github.com/AlessandroZ/LaZagne

temp_dire = tempfile.gettempdir() os.chdir(temp_dire) download("https://github.com/AlessandroZ/LaZagne/releases/download/2.4.3/lazagne.exe")

It will basically do a search of the entire device, and in the case of computers (Windows at least) they will run benign malware on your system to retrieve passwords. This isn't fool proof and it will likely miss anything that wasn't saved in your browser (not including password managers thankfully). It will use keywords for fraud, child exploitation material, terrorism etc and where there is a match it will copy the file and save it for further analysis (if need be). Basically while the scan is happening and when its finished they will see a massive summary of thumbnails of every image and video you have for the analyst to then double check if anything bypassed the filter. It will also, based on keywords, show other files like documents that made a match. Note that the filter is also based on hash values as well as file names, but given the broad nature of keywords it will likely grab a lot of useless files - if you have the movie 'Baby Driver' on your computer, it will copy it and flag it as child exploitation material for example. I guess this shotgun approach is better than nothing.

If you logged in in your pc once it might still be on there somewhere, try using LaZagne (https://github.com/AlessandroZ/LaZagne)

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.