Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects when sharing inheritance settings are modified in SharePoint. This could indicate an attempt to broaden access to sensitive information, a misconfiguration, or an attacker attempting to maintain access or exfiltrate data.
This rule detects attempts to use cloud services (specifically AWS SSM or Azure Management) for internal lateral movement. It triggers when HTTP requests are made to 'ssm.amazonaws.com' or 'management.azure.com' with the URI containing 'SendCommand'. A threshold of 5 such events from the same source within 30 seconds is set to reduce false positives.
This rule detects repeated successful operations related to public access or firewall configuration changes within Azure Activity Logs. A high count (3 or more) of such operations by the same caller within an hour could indicate malicious activity, such as an attacker attempting to open up network access to compromised resources or exfiltrate data.
Detects an unusual volume of 'Logging' or 'Monitor' operations within Azure Activity logs from a single caller within an hour. This could indicate an adversary attempting to enumerate logging configurations, monitor activities, or potentially tamper with logging settings as a precursor to other malicious activities or an attempt to cover tracks.
Detects when a Network Security Group (NSG) rule is successfully deleted in Azure. This could indicate an attempt to bypass network access controls, potentially to enable unauthorized access or exfiltration.
This rule detects when a single caller successfully updates three or more SQL Server firewall rules within a one-hour window. This behavior could indicate an adversary attempting to open up network access to a SQL database, potentially for data exfiltration, command and control, or further lateral movement.
Detects the creation or deletion of Kubernetes namespaces and nodes via the API server. This activity can indicate an adversary attempting to establish persistence, expand their control, or disrupt the environment within a Kubernetes cluster.
Detects suspicious activity related to OAuth2PermissionGrant operations, specifically looking for a high volume of successful consent grants by a single user within a short timeframe. This could indicate an attacker attempting to gain broad access to resources by granting permissions to a malicious OAuth application.
Detects when a single user principal name (UPN) performs two or more Azure AD admin role assignments within an hour. This could indicate an attempt to escalate privileges or establish persistence by assigning administrative roles to multiple accounts or to the same account multiple times.
This rule detects potential GitHub token theft or abuse activity by identifying GitHub tokens that are used from an unusually high number of distinct IP addresses or for an unusually high number of uses within a one-hour window. Specifically, it looks for tokens with more than 5 uses and more than 2 distinct IP addresses in an hour. This behavior could indicate that a compromised token is being used by an attacker from multiple locations or in an automated fashion.
This rule detects suspicious activity involving the creation or update of managed identities and the assignment of highly privileged roles (Contributor, Owner, User Access Administrator) to them. It specifically looks for multiple such assignments within a one-hour window to managed identities associated with automation, runbook, or function resources, indicating potential privilege escalation or malicious access.
This rule detects attempts to create new accounts on major cloud platforms (AWS, Azure, Google Cloud) by monitoring HTTP traffic for specific hostnames and the 'signup' keyword in the URI. It specifically looks for connections to 'aws.amazon.com', 'portal.azure.com', or 'console.cloud.google' with 'signup' in the URI, indicating a potential account creation activity.
Detects modification of cloud compute infrastructure to evade detection or remove evidence
This rule detects when sharing inheritance settings are modified in SharePoint. This could indicate an attempt to broaden access to sensitive information, a misconfiguration, or an attacker attempting to maintain access or exfiltrate data.
This rule detects HTTP POST requests to the Google Cloud Platform (GCP) Compute Engine API (compute.googleapis.com). It specifically looks for a high volume of these requests (20 within 10 seconds from the same source IP), which could indicate automated activity or potential command execution attempts within GCP. The rule is designed to identify suspicious interactions with the GCP API that might be related to execution tactics.
This rule detects a spike in modifications or creations of Azure Diagnostic Settings within a one-hour window. A high volume of 'Diagnostic Setting' operations by a single caller could indicate an attempt to alter logging configurations, potentially to impair defenses or hide malicious activity.
This rule detects a spike in successful Azure Load Balancer operations from a single caller within an hour. A count of 3 or more successful operations from the same caller within a one-hour window will trigger this alert. This could indicate automated activity or unusual configuration changes related to load balancers.
This rule detects an unusual number of successful encryption-related operations performed by a single caller within a one-hour window in Azure Activity logs. This could indicate legitimate bulk administrative tasks or potentially malicious activity such as data encryption for impact (e.g., ransomware) or preparation for exfiltration by an attacker.
Detects a spike in successful operations related to Azure Storage Account Keys by a single caller within a one-hour window. This could indicate an adversary attempting to enumerate, access, or exfiltrate storage account keys, or a legitimate user performing multiple key management activities.
This rule detects multiple HTTP requests to 'iam.amazonaws.com' with the URI containing 'DeleteAccessKey'. This activity, especially when occurring frequently (5 times in 30 seconds from the same source), could indicate an attempt to revoke cloud account access keys, potentially as part of a lockout impact attack.
Detects the creation of Kubernetes pods with dangerous security settings that could lead to privilege escalation or container escape. This includes configurations such as enabling hostNetwork, allowing privilege escalation within containers, or running containers as the root user (UID 0).
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