Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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'Detects when a privileged user account successfully authenticates from to another Microsoft Entra ID Tenant.
Authentication attempts should be investigated to ensure the activity was legitimate and if there is other similar activity.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-successful-unusual-sign-ins'
Authentication attempts should be investigated to ensure the activity was legitimate and if there is other similar activity.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-successful-unusual-sign-ins'
'An account could be blocked/locked out due to multiple reasons. This hunting query summarize blocked/lockout accounts and checks if most recent signin events for them is after last blocked accounts
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-successful-unusual-sign-ins'
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-successful-unusual-sign-ins'
'Detects when a privileged user account successfully authenticates from a location, device or ASN that another admin has not logged in from in the last 7 days.
Privileged accounts are a key target for threat actors, monitoring for logins from these accounts that deviate from normal activity can help identify compromised accounts.
Authentication attempts should be investigated to ensure the activity was legitimate and if there is other similar activity.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-successful-unusual-sign-ins'
Privileged accounts are a key target for threat actors, monitoring for logins from these accounts that deviate from normal activity can help identify compromised accounts.
Authentication attempts should be investigated to ensure the activity was legitimate and if there is other similar activity.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-successful-unusual-sign-ins'
Looks for users who had a risky sign in (based on Entra ID Identity Protection risk score) and then performed and ElevateAccess action. ElevateAccess operations can be used by Global Admins to obtain permissions over Azure resources.
'Detects changes to an Application ID URI.
Monitor these changes to make sure that they were authorized.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-applications#appid-uri-added-modified-or-removed'
Monitor these changes to make sure that they were authorized.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-applications#appid-uri-added-modified-or-removed'
'Detects a user's consent to an OAuth application being blocked due to it being too risky.
These events should be investigated to understand why the user attempted to consent to the applicaiton and what other applicaitons they may have consented to.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-applications#end-user-stopped-due-to-risk-based-consent'
These events should be investigated to understand why the user attempted to consent to the applicaiton and what other applicaitons they may have consented to.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-applications#end-user-stopped-due-to-risk-based-consent'
'Query over SigninLogs summarizes login attempts per hour on weekdays. Kusto anomaly detection finds login spikes. Calculates percentage change between anomalous period and average logins. Determines success and failure rate for logins for 1 hour period.'
This query looks for Entra ID role adds identified by Microsoft Defender for Cloud Apps. It will require an corresponding app connector in Microsoft Defender for Cloud Apps.
' Identifies measureable increase in successful sign-ins from user accounts.
Spike is determined based on Time series anomaly which will look at historical baseline values.
Ref : https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-successful-unusual-sign-ins'
Spike is determined based on Time series anomaly which will look at historical baseline values.
Ref : https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-user-accounts#monitoring-for-successful-unusual-sign-ins'
'This hunting query identifies a user that add/invite a member to the organization for the first time. This technique can be leveraged by attackers to add stealth account access to the organization.'
'This hunting query identifies users joining a meeting from a time zone that a user has not been observed from in the last 30 days.'
'Detects the redirect URL of an app being changed.
Applications associated with URLs not controlled by the organization can pose a security risk.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-applications#application-configuration-changes'
Applications associated with URLs not controlled by the organization can pose a security risk.
Ref: https://docs.microsoft.com/azure/active-directory/fundamentals/security-operations-applications#application-configuration-changes'
'This query will look for events where guest user was invited but has not accepted/redeemed invite for unusually longer period.
Any invites not redeemed for longer period of time can be misused and pose risk if suspiciously redeemed in other ways'
Any invites not redeemed for longer period of time can be misused and pose risk if suspiciously redeemed in other ways'
The analytic detects a spike in the number of API calls made to cloud infrastructure by a user. It leverages cloud infrastructure logs and compares the current API call volume against a baseline probability density function to identify anomalies. This activity is significant because an unusual increase in API calls can indicate potential misuse or compromise of cloud resources. If confirmed malicious, this could lead to unauthorized access, data exfiltration, or disruption of cloud services, posing a significant risk to the organization's cloud environment.
The analytic detects cloud API calls executed by user roles that have not previously run these commands. It leverages the Change data model in Splunk to identify commands executed by users with the user_type of AssumedRole and a status of success. This activity is significant because new commands from different user roles can indicate potential malicious activity or unauthorized actions. If confirmed malicious, this behavior could lead to unauthorized access, data breaches, or other damaging outcomes by exploiting new or unmonitored commands within the cloud environment.
The following analytic detects a spike in the number of API calls made to cloud security groups by a user. It leverages data from the Change data model, focusing on successful firewall-related changes. This activity is significant because an abnormal increase in security group API calls can indicate potential malicious activity, such as unauthorized access or configuration changes. If confirmed malicious, this could allow an attacker to manipulate security group settings, potentially exposing sensitive resources or disrupting network security controls.
The following analytic identifies the creation of cloud compute instances by users who have not previously created them. It leverages data from the Change data model, focusing on 'create' actions by users, and cross-references with a baseline of known user activities. This activity is significant as it may indicate unauthorized access or misuse of cloud resources by new or compromised accounts. If confirmed malicious, attackers could deploy unauthorized compute instances, leading to potential data exfiltration, increased costs, or further exploitation within the cloud environment.
The analytic identifies cloud instances being modified by users who have not previously modified them. This activity is significant because it can indicate unauthorized or suspicious changes by potentially compromised or malicious users. If confirmed malicious, this could lead to unauthorized access, configuration changes, or potential disruption of cloud services, posing a significant risk to the organization's cloud infrastructure.
The analytic identifies access denied errors when attempting to invoke AWS Bedrock models. It leverages AWS CloudTrail logs to detect when a user or service receives an AccessDenied error when calling the InvokeModel API. This activity is significant as it may indicate an adversary attempting to access Bedrock models with insufficient permissions after compromising credentials. If confirmed malicious, this could suggest reconnaissance activities or privilege escalation attempts targeting generative AI resources, potentially leading to data exfiltration or manipulation of model outputs.
This analytic identifies an abnormally high number of cloud instances being destroyed within a 4-hour period. It leverages cloud infrastructure logs and applies a probability density model to detect outliers. This activity is significant for a SOC because a sudden spike in destroyed instances could indicate malicious activity, such as an insider threat or a compromised account attempting to disrupt services. If confirmed malicious, this could lead to significant operational disruptions, data loss, and potential financial impact due to the destruction of critical cloud resources.
The analytic identifies a successful single-factor authentication event against Azure Active Directory. It leverages Azure SignInLogs data, specifically focusing on events where single-factor authentication succeeded. This activity is significant as it may indicate a misconfiguration, policy violation, or potential account takeover attempt. If confirmed malicious, an attacker could gain unauthorized access to the account, potentially leading to data breaches, privilege escalation, or further exploitation within the environment.
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