Skip to content

PoC for Zerologon - all research credits go to Tom Tervoort of Secura

Notifications You must be signed in to change notification settings

we88c0de/CVE-2020-1472

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

8 Commits
 
 
 
 
 
 
 
 

Repository files navigation

CVE-2020-1472 POC

Requires the latest impacket from GitHub with added netlogon structures.

Do note that by default this changes the password of the domain controller account. Yes this allows you to DCSync, but it also breaks communication with other domain controllers, so be careful with this!

More info and original research here

Exploit steps

  • Read the blog/whitepaper above so you know what you're doing
  • Run cve-2020-1472-exploit.py with IP and netbios name of DC
  • DCSync with secretsdump, using -just-dc and -no-pass or empty hashes and the DCHOSTNAME$ account

Restore steps

If you install a version of impacket from GitHub that was updated on or after September 15th 2020, secretsdump will automatically dump the plaintext machine password (hex encoded) when dumping the local registry secrets.

Alternatively on slightly older versions you can dump this same password by first extracting the registry hives and then running secretsdump offline (it will then always print the plaintext key because it can't calculate the Kerberos hashes).

With this password you can run restorepassword.py with the -hexpass parameter. This will first authenticate with the empty password to the same DC and then set the password back to the original one. Make sure you supply the netbios name and IP again as target, so for example:

python restorepassword.py testsegment/s2016dc@s2016dc -target-ip 192.168.222.113 -hexpass e6ad4c4f64e71cf8c8020aa44bbd70ee711b8dce2adecd7e0d7fd1d76d70a848c987450c5be97b230bd144f3c3...etc

About

PoC for Zerologon - all research credits go to Tom Tervoort of Secura

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 55.3%
  • Python 44.7%