Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects successful API executions within Google Cloud Platform (GCP) that originate from an IP address identified as a Tor exit node. It correlates GCP Cloud Audit logs, specifically looking for 'ALLOW' actions, with a GCTI (Google Cloud Threat Intelligence) feed that lists known Tor exit node IP addresses. The rule also calculates a risk score, with additional weight given if the originating IP is from certain high-risk countries (Cuba, Iran, North Korea, Russia, Syria).
This rule detects when an Okta end-user reports suspicious activity on their account. This could indicate that the user's account has been compromised or is being targeted by an attacker. The rule specifically looks for the 'user.account.report_suspicious_activity_by_enduser' event type in Okta logs. The risk score is increased if the suspicious activity event type is related to an MFA enrollment notification being sent, suggesting a potential attempt to enroll an unauthorized MFA device.
Detects when a single user successfully logs into Okta from multiple distinct cities within a 24-hour period. This behavior can indicate a compromised account being used by an attacker from a different geographical location than the legitimate user, or a user traveling rapidly between distant locations. The rule also incorporates risk scoring based on Okta ThreatInsight and logins from suspicious countries.
This rule detects multiple failed login attempts from different users originating from the same IP address within a one-hour window in OneLogin. It specifically looks for 'USER_LOGIN' events with a 'BLOCK' security result and a product event type of '6' (user failed authentication). The rule also calculates a risk score, which is increased if the originating IP address is from certain unauthorized geographies (Cuba, Iran, North Korea, Russia, Syria). This behavior is indicative of potential brute-force attacks or credential stuffing attempts against multiple user accounts from a single source.
This rule detects administrative actions related to AWS SAML Identity Providers. Specifically, it triggers when a SAML provider is created, updated, or deleted within an AWS environment. Monitoring these events is crucial as SAML providers are used for federated access, and unauthorized changes could indicate attempts at persistence, privilege escalation, or defense evasion by manipulating authentication mechanisms.
This rule detects the creation of a new API token within the Okta identity platform. API tokens can be used for programmatic access to Okta and, if compromised, can lead to unauthorized access, persistence, or privilege escalation. The rule specifically looks for 'system.api_token.create' events with a successful 'ALLOW' action.
This rule detects when the AWS IAM AdministratorAccess policy is attached to a user, group, or role. This action grants full administrative privileges and can be used by an attacker for privilege escalation, persistence, or to establish initial access within an AWS environment. The rule specifically looks for CloudTrail events indicating policy attachment actions (AttachUserPolicy, AttachGroupPolicy, AttachRolePolicy) where the target resource is the predefined 'AdministratorAccess' policy and the action was allowed.
This rule detects when a user is assigned 'Super user' privileges within the OneLogin SSO system. It specifically looks for events where the event type is 'USER_CHANGE_PERMISSIONS', the product is 'ONELOGIN_SSO', the vendor is 'ONELOGIN', the product event type indicates a permission grant (code 72), and the target resource name is 'Super user'. This indicates a significant privilege escalation within the identity provider.
This rule detects successful user authentications to Okta that occur outside of typical business hours or on weekends. It specifically flags logins on Saturdays and Sundays, and logins between 8 PM and 7 AM UTC on weekdays. The rule calculates a risk score based on the day and time of the login, with higher scores for weekend logins and late-night/early-morning logins.
This rule detects the creation, modification, or deletion of scheduled tasks using specific task names known to be associated with the SVR-attributed GraphicalProton backdoor. The task names are designed to mimic legitimate Windows services to evade detection.
This rule detects suspicious user login activity where a single user attempts to log in from multiple distinct countries within a 24-hour period. This behavior can indicate a compromised account being used by an attacker from a different geographic location than the legitimate user, or a user attempting to bypass security controls. The rule also assigns a higher risk score if the login originates from specific high-risk countries (Cuba, Iran, North Korea, Russia, Syria).
Detects the execution of specific processes and command line combinations associated with the Forest Blizzard APT group. This includes the creation and deletion of scheduled tasks using 'schtasks.exe' and PowerShell commands for file operations, as described by Microsoft.
This rule detects the creation, modification, or deletion of scheduled tasks with specific names known to be used by the SVR-affiliated GraphicalProton backdoor. The rule monitors Windows Security Event IDs 4698 (A scheduled task was created), 4699 (A scheduled task was deleted), and 4702 (A scheduled task was updated) for a predefined list of suspicious task names.
Detects the use of the "rsync" utility to execute a shell. Such behavior may be associated with privilege escalation, unauthorized command execution, or to break out from restricted environments.
Detects modifications to shell context menu commands within the Windows Registry. This rule is designed to identify potential persistence mechanisms or suspicious activity where an attacker might alter the commands executed when a user interacts with files or folders via the right-click context menu. The detection specifically looks for changes in registry paths containing '\Software\Classes\', '\shell\', and '\command\', which are indicative of context menu command definitions.
Detects suspicious modifications to the SentinelOne context menu scan command in the Windows Registry. This rule specifically looks for changes made by processes other than the legitimate SentinelOne agent, indicating potential tampering or persistence mechanisms.
Detects when a user creates a Lambda function URL configuration, which could be used to expose the function to the internet and potentially allow unauthorized access to the function's IAM role for AWS API calls.
This could give an adversary access to the privileges associated with the Lambda service role that is attached to that function.
This could give an adversary access to the privileges associated with the Lambda service role that is attached to that function.
Detects potential use of Rubeus via registered new trusted logon process
Detects when an access level is changed for a Google Workspace application. An access level is part of BeyondCorp Enterprise which is Google Workspace's way of enforcing Zero Trust model. An adversary could remove access levels to gain easier access to Google Workspace resources, potentially leading to persistence or privilege escalation.
Detects when an access policy that is applied to a GCP cloud resource is deleted. An adversary would be able to remove access policies to gain access to a GCP cloud resource.
Detects an exploitation attempt of CVE-2019-1388, a privilege escalation vulnerability. This involves the UAC consent dialogue (consent.exe) invoking an Internet Explorer process (iexplore.exe) with system-level privileges, indicated by 'System' or 'S-1-16-16384' integrity level and a command line containing ' http'.
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