Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects when additional cloud credentials (Access Keys) are added to an AWS IAM user. It specifically looks for HTTP traffic to 'iam.amazonaws.com' containing 'CreateAccessKey' in the URI, indicating an attempt to create new access keys.
This rule detects attempts to deploy a Kubernetes CronJob via the Kubernetes API. It specifically looks for HTTP requests targeting the '/apis/batch' and 'cronjobs' URI paths, indicating an interaction with the batch API group for CronJob resources. This could be an indicator of an attacker attempting to establish persistence or execute malicious code within the Kubernetes cluster by scheduling tasks.
This rule detects attempts to retrieve the running configuration of a network device via an SSH session. It specifically looks for the case-insensitive string "show running-config" in TCP traffic destined for port 22 (SSH) on the home network, indicating a potential administrative action or reconnaissance activity.
This rule detects HTTP traffic directed to 'management.azure.com' with a URI containing 'runCommand'. This pattern indicates an attempt to execute a command on an Azure Virtual Machine using the Azure Run Command feature. This activity is often associated with administrative actions or potential malicious execution on cloud resources.
Detects the creation or modification of Kubernetes ClusterRoles, ClusterRoleBindings, and RoleBindings, which can be used for privilege escalation within a Kubernetes cluster. The rule specifically flags activities related to 'cluster-admin' roles as critical and other administrative roles as high severity.
Detects a successful login from a non-compliant, unmanaged device followed by an inbox rule creation or modification within 10 minutes. This sequence aligns with post-compromise evasion tactics observed in device code phishing campaigns like Kali365, where attackers quickly suppress security alerts after gaining access.
Detects enumeration of group memberships for permission group discovery
This rule detects attempts to create or modify email forwarding rules in Office 365 via the Microsoft Graph API. Specifically, it looks for HTTP POST requests to the '/mailFolders/inbox/messageRules' endpoint on 'graph.microsoft.com'. This activity can indicate an attacker setting up an inbox rule to forward emails to an external address for data exfiltration or to maintain persistence.
This rule detects attempts to enumerate the 'Domain Admins' group over SMB (Server Message Block) using the 'NetGroupGetUsers' function. This activity is often associated with reconnaissance by attackers trying to identify high-privilege accounts within a Windows domain.
This rule detects attempts to enumerate local administrator groups via a web shell. It specifically looks for HTTP requests containing the string "net localgroup" in the URI, which is a common command used to list local groups on a Windows system. The detection is case-insensitive and targets established HTTP connections from any source to the home network.
This rule detects attempts to delete a cloud security group rule via the AWS EC2 API. Specifically, it looks for HTTP traffic to 'ec2.amazonaws.com' with the URI containing 'RevokeSecurityGroupIngress', which is the API call used to remove an inbound rule from a security group.
This rule detects a high volume of account changes (creation or modification) within a one-hour window by a single user. Specifically, it looks for 10 or more instances of EventID 4720 (A user account was created) or EventID 4722 (A user account was enabled) originating from the same SubjectUserName within an hour.
This rule detects when a single user removes permissions from 5 or more mailboxes within a one-hour window in an Exchange environment. This activity could indicate an attempt to cover tracks or disrupt access to mailboxes by an attacker.
This rule detects an unusually high volume of SharePoint sharing invitation creations or sharing setting modifications by a single user within an hour. This could indicate an attacker attempting to exfiltrate data or broadly share sensitive information.
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 the creation or modification of Power Automate flows that connect to external services commonly used for data exfiltration or command and control, such as webhooks, Gmail, Dropbox, Google Drive, Slack, RSS feeds, custom connectors, or generic HTTP requests/webhooks. This could indicate an adversary attempting to establish persistence or exfiltrate data from the Power Platform environment.
This rule detects attempts to modify Group Policy Objects (GPOs) over Server Message Block (SMB) by looking for HTTP PUT requests containing '\SYSVOL\' and '\Policies\' in the URI. This activity can indicate an adversary attempting to escalate privileges or establish persistence within an Active Directory domain.
This rule detects when a user performs a security investigation query within Google Workspace using the Security Investigation Tool. It extracts the user's UPN, the data source being investigated, and the query itself. This can help identify potential insider threat activity, unauthorized investigations, or unusual administrative behavior.
This rule detects when a global administrator role is assigned in Azure via the Graph API. It specifically looks for HTTP POST requests to 'graph.microsoft.com' with 'assignLicense' in the URI.
This rule detects a suspicious sequence of events in Okta that could indicate a help-desk social engineering attack or account takeover. Specifically, it looks for a user's password being reset, followed by the enrollment of a new MFA factor or device for that same user, all occurring within a short time frame (1 hour) and potentially from distinct session IDs or device hashes. This pattern suggests an attacker has gained initial access (e.g., via social engineering the help desk) and is immediately attempting to establish persistence by enrolling their own MFA device.
This rule detects the string "launchctl load" within TCP traffic on port 22 (SSH). This indicates an attempt to load a launchd service on a macOS or Linux system via a remote SSH connection. This activity could be legitimate system administration but also could be indicative of an attacker establishing persistence or executing malicious services.
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