Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Identifies when a service account is modified or deleted.
Adding users to administrative roles is not malicious, but due to the sensitivity of certain roles, validation should occur when this occurs
Detects when an account dumps the LAPS password from Entra ID.
This analytic identifies Azure Device Code Phishing attacks by detecting suspicious authentication requests using the device code authentication protocol within Azure AD SignInLogs. Such activity is significant as it indicates potential bypassing of Multi-Factor Authentication (MFA) and Conditional Access Policies (CAPs) through phishing. If malicious, attackers could gain unauthorized access to Azure AD, Exchange mailboxes, and Outlook Web Application (OWA), leading to potential data breaches and unauthorized data access.
This detection identifies when a new Microsoft Intune device management configuration policy has been created. Intune device management configuration policies are used by administrators to remotely manage policies and settings on Intune-managed devices. This functionality can be abused by adversaries to disable defenses and evade detection.
This analytic identifies distributed password spray attacks by using a 3-sigma statistical approach. It detects scenarios where an attacker attempts a few common passwords against many different accounts from multiple IP addresses to evade detection. The detection leverages CIM-mapped authentication events for comprehensive coverage.
The analytic identifies instances where a service principal in Azure Active Directory assigns app roles without standard admin consent. This activity is detected by analyzing Entra ID logs from the `azure_monitor_aad` data source, specifically looking for "Add app role assignment to service principal" or "Add member to role*" operations initiated by a service principal. This detection is crucial for identifying potential bypasses of administrative consent processes, which could lead to unauthorized privilege grants. If malicious, this could allow attackers to exploit automation to assign sensitive permissions without proper oversight, compromising the security of the Azure AD environment.
The following analytic detects attempts to disable multi-factor authentication (MFA) for an Azure AD user. It leverages Azure Active Directory AuditLogs to identify the "Disable Strong Authentication" operation. This activity is significant because disabling MFA can allow adversaries to maintain persistence using compromised accounts without raising suspicion. If confirmed malicious, this action could enable attackers to bypass an essential security control, potentially leading to unauthorized access and prolonged undetected presence in the environment.
The analytic detects the registration of a new Multi-Factor Authentication (MFA) method for an Azure AD account. It leverages Azure AD AuditLogs to identify when a user registers new security information. This activity is significant because adversaries who gain unauthorized access to an account may add their own MFA method to maintain persistence. If confirmed malicious, this could allow attackers to bypass existing security controls, maintain long-term access, and potentially escalate their privileges within the environment.
The following analytic detects the execution of the `Invoke-AzureHound` command-line argument, commonly used by the AzureHound tool. It leverages data from Endpoint Detection and Response (EDR) agents, focusing on process names and command-line executions. This activity is significant because AzureHound is often used for reconnaissance in Azure environments, potentially exposing sensitive information. If confirmed malicious, this activity could allow an attacker to map out Azure Active Directory structures, aiding in further attacks and privilege escalation.
The following analytic identifies instances where a service principal in Office 365 Azure Active Directory assigns app roles without standard admin consent. It leverages `o365_management_activity` logs, specifically focusing on the 'Add app role assignment to service principal' operation. This activity is significant for SOCs as it may indicate a bypass of critical administrative controls, potentially leading to unauthorized access or privilege escalation. If confirmed malicious, this could allow an attacker to misuse automated processes to assign sensitive permissions, compromising the security of the environment.
The following analytic detects when a user in an Azure AD environment grants consent to an OAuth application. It leverages Azure AD audit logs to identify events where users approve application consents. This activity is significant as it can expose organizational data to third-party applications, a common tactic used by malicious actors to gain unauthorized access. If confirmed malicious, this could lead to unauthorized access to sensitive information and resources. Immediate investigation is required to validate the application's legitimacy, review permissions, and mitigate potential risks.
The following analytic identifies the configuration of Azure Active Directory Applications in a manner that allows authentication from external tenants or personal accounts. This configuration can lead to inappropriate or malicious access of any data or capabilities the application is allowed to access. This detection leverages the O365 Universal Audit Log data source.
This detection identifies when a new Microsoft Intune device health script has been added, updated, or deleted. Intune device remediation scripts can be used by administrators for remote device management, but this functionality can also be abused for SYSTEM-level code execution and lateral movement to Intune-managed devices.
This analytic identifies the invitation of an external guest user within Azure AD. With Azure AD B2B collaboration, users and administrators can invite external users to collaborate with internal users. External guest account invitations should be monitored by security teams as they could potentially lead to unauthorized access. An example of this attack vector was described at BlackHat 2022 by security researcher Dirk-Jan during his talk `Backdooring and Hijacking Azure AD Accounts by Abusing External Identities`. This detection leverages the Universal Audit Log (UAL)/o365:management:activity sourcetype as a detection data source.
The following analytic detects high-risk sign-in attempts against Azure Active Directory, identified by Azure Identity Protection. It leverages the RiskyUsers and UserRiskEvents log categories from Azure AD events ingested via EventHub. This activity is significant as it indicates potentially compromised accounts, flagged by heuristics and machine learning. If confirmed malicious, attackers could gain unauthorized access to sensitive resources, leading to data breaches or further exploitation within the environment.
This analytic identifies when changes are made to the external guest policies within Azure AD. Specifically, it looks for the "Update policy." operation targeting "B2BManagementPolicy" in the Office 365 Universal Audit Log. The rule extracts and highlights the specific changes made to allowed/blocked domains for B2B collaboration, indicating whether domains were added or removed. Monitoring these changes is crucial as modifications to external identity policies can impact unauthorized access, as described in the BlackHat 2022 talk "Backdooring and Hijacking Azure AD Accounts by Abusing External Identities."
This detection identifies when an administrator manually triggers device management configuration policy sync events, on-demand remediation scripts, or remotely restarts devices within Microsoft Intune. While this functionality can be used legitimately to expedite policy delivery, it can also be abused by an attacker to quickly deploy malicious payloads or disrupt systems.
The analytic detects an Azure AD account with concurrent sessions originating from multiple unique IP addresses within a 5-minute window. It leverages Azure Active Directory NonInteractiveUserSignInLogs to identify this behavior by analyzing successful authentication events and counting distinct source IPs. This activity is significant as it may indicate session hijacking, where an attacker uses stolen session cookies to access corporate resources from a different location. If confirmed malicious, this could lead to unauthorized access to sensitive information and potential data breaches.
The following analytic identifies instances where admin consent is granted to an application within an Azure AD tenant. It leverages Azure AD audit logs, specifically events related to the admin consent action within the ApplicationManagement category. This activity is significant because admin consent allows applications to access data across the entire tenant, potentially exposing vast amounts of organizational data. If confirmed malicious, an attacker could gain extensive and persistent access to sensitive data, leading to data exfiltration, espionage, further malicious activities, and potential compliance violations.
The analytic identifies an Azure AD account experiencing more than 20 failed authentication attempts within a 10-minute window. This detection leverages Azure SignInLogs data, specifically monitoring for error code 50126 and unsuccessful authentication attempts. This behavior is significant as it may indicate a brute force attack targeting the account. If confirmed malicious, an attacker could potentially gain unauthorized access, leading to data breaches or further exploitation within the environment. Security teams should adjust the threshold based on their specific environment to reduce false positives.
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