Increase Privileges

Kerberoasting is a technique that can be exploited by a subject to escalate privileges and gain unauthorized access to sensitive systems within a network. From the perspective of a subject—who may be a low-privileged user with legitimate access to the network—the attack takes advantage of weaknesses in the Kerberos authentication protocol used by Active Directory (AD).

Kerberos Authentication Process

In a Kerberos-based network (like those using Active Directory), clients—users, computers, or services—authenticate to services using service tickets. When a client wants to access a service (e.g., a file server or email service), it requests a service ticket from the Ticket Granting Service (TGS). This request is made using the Service Principal Name (SPN) of the target service.

The TGS then issues a service ticket containing the hashed credentials (password) of the service account associated with that SPN. These credentials are encrypted in the service ticket, and the client can present the ticket to the service to authenticate.

Subject Requesting Service Tickets

A subject, typically a domain user with limited privileges, can exploit this process by requesting service tickets for service accounts running critical or high-privilege services, such as domain controllers or admin-level service accounts. These accounts are often associated with SPNs in Active Directory.

The subject can identify these SPNs—often for high-value targets like SQL Server, Exchange, or other administrative services—by querying the domain or using enumeration tools. Once these SPNs are identified, the subject can request service tickets for these service accounts from the TGS.

Cracking the Service Tickets

The key aspect of the Kerberoasting attack is that the service tickets contain hashed credentials of the service account. If these service accounts use weak, easily guessable passwords, the subject can extract the service tickets and attempt to crack the hashes offline using tools like Hashcat or John the Ripper.

Since these passwords are typically not subject to regular user password policies (i.e., they may not be as complex), weak or easily cracked passwords are a prime target for the subject.

Privilege Escalation and Unauthorized Access

Once the subject successfully cracks the password of a service account, they can use the credentials to gain elevated privileges. For example:

• If the cracked service account belongs to a high-privilege service (e.g., Domain Admins or Enterprise Admins), the subject can use these credentials to access systems, services, and parts of the network they would not ordinarily be permitted to access. This could include sensitive files, servers, or even Active Directory itself.
• The subject can use these credentials to move laterally within the network, expanding their access to additional systems that are typically restricted to high-privilege accounts.
• With administrative-level access, the subject can make changes to critical systems, alter configurations, or install malicious software. This could lead to further insider events, such as data exfiltration, malware deployment, or even persistent backdoors for ongoing unauthorized access.

Reconnaissance and Exploitation

The subject can perform additional reconnaissance within the network to identify other high-privilege accounts and services associated with service accounts. They can continue requesting service tickets for additional SPNs and cracking any other weak passwords they find, gradually escalating their access to more critical systems.

With broad access, the subject may also attempt to manipulate access controls, elevate privileges further, or carry out malicious actions undetected. This provides a potential stepping stone to more serious insider threats and an expanded attack surface for other actors.

Routine reviews of user accounts and their associated privileges and permissions should be conducted to identify overly-permissive accounts, or accounts that are no longer required to be active.

The Principle of Least Privilege should be enforced, and period reviews of permissions conducted to ensure that accounts have the minimum level of access required to complete duties as per their role.

An agent capable of User Activity Monitoring (UAM) is a software agent installed on organization endpoints (such as laptops); typically, User Activity Monitoring agents are only deployed on endpoints where a human user Is expected to conduct the activity.

The User Activity Monitoring agent will typically record Operating System, application, and network activity occurring on an endpoint, with a focus on activity that is or can be conducted by a human user. The purpose of this monitoring is to identify undesirable and/or malicious activity being conducted by a human user (in this context, an Insider Threat).

Typical User Activity Monitoring platforms operate in an agent/server model where activity logs are sent to a server for automatic correlation against a rule set. This rule set is used to surface activity that may represent Insider Threat related activity such as capturing screenshots, copying data, compressing files or installing risky software.

Other platforms providing related functionality are frequently referred to as User Behaviour Analytics (UBA) platforms.

An agent capable of User Behaviour Analytics (UBA) is a software agent installed on organizational endpoints (such as laptops). Typically, User Activity Monitoring agents are only deployed on endpoints where a human user is expected to conduct the activity.

The User Behaviour Analytics agent will typically record Operating System, application, and network activity occurring on an endpoint, focusing on activity that is or can be conducted by a human user. Typically, User Behaviour Analytics platforms operate in an agent/server model where activity logs are sent to a server for automatic analysis. In the case of User Behaviour Analytics, this analysis will typically be conducted against a baseline that has previously been established.

A User Behaviour Analytic platform will typically conduct a period of ‘baselining’ when the platform is first installed. This baselining period establishes the normal behavior parameters for an organization’s users, which are used to train a Machine Learning (ML) model. This ML model can then be later used to automatically identify activity that is predicted to be an anomaly, which is hoped to surface user behavior that is undesirable, risky, or malicious.

Other platforms providing related functionality are frequently referred to as User Activity Monitoring (UAM) platforms.

Within the Microsoft Entra admin center, the Resource audit can be reviewed to identify PIM elevations for users, including key information such as the requestor user, subject user, action, domain, and primary target (role assigned/removed). This can aid investigators by providing an audit trail for PIM elevations and the duration for which an eligible role was attached to a user account.

The following URL can be used to view this activity log, provided the investigator's account has the Privileged Role Administrator role assigned, or a role with higher privileges: https://entra.microsoft.com/#view/Microsoft_Azure_PIMCommon/ResourceMenuBlade/~/Audit/resourceId//resourceType/tenant/provider/aadroles