Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
461 detections
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Detects modifications to cloud-based IAM trust policies or resource policies that grant access to an external account, tenant, or project. This activity can indicate an attacker attempting to establish persistent backdoor access via cross-account trust relationships, bypassing standard identity controls.
Detects modifications to cloud security guardrails including AWS Service Control Policies (SCPs), Azure Policy assignments/exemptions, and GCP Organization Policies. These actions may indicate an attempt to disable security controls or weaken organizational policy enforcement.
Detects successful cloud console login events across AWS, Azure, and GCP where multi-factor authentication (MFA) was not utilized, combined with impossible travel indicators (login from different countries within an 8-hour window for the same principal).
Detects high-privilege IAM role assignments in Google Cloud Platform and Microsoft Azure environments. The rule specifically monitors for assignments of overly permissive roles (e.g., Owner, Global Administrator, or wildcard actions) that could allow for full environment compromise or persistence.
Detects the deployment of virtual machines with public IP addresses (in Azure) or compute instances with external IP addresses (in GCP) by a single principal within a 15-minute window. This behavior is indicative of a newly-privileged identity or an compromised account establishing externally-accessible infrastructure for further malicious activity.
Detects potential abuse of Cloud Shell to persist access in cloud environments. For GCP, it monitors the injection of SSH keys into instance or project metadata from a Cloud Shell session. For Azure, it detects a pattern involving Cloud Shell storage provisioning followed by a subsequent VM run-command or SSH public key update, indicating potential unauthorized management of virtual machines.
Detects the creation of new service principal credentials in Azure AD or GCP service account keys targeting identities holding highly privileged administrative roles. This behavior is indicative of a persistence mechanism where an adversary establishes long-term access to a cloud environment by creating new, controlled credentials for an existing privileged identity.
Detects suspicious modifications to Google Cloud Platform compute instance metadata, specifically the enabling of serial ports or the addition of startup scripts, which can be leveraged to execute arbitrary commands on a virtual machine. This rule also monitors for the initiation of GCP Cloud Shell environments, which may be used as a platform for further administrative activity.
This rule detects administrative actions in GCP that involve modifying or deleting Cloud Logging sinks, or disabling specific services, with a specific focus on disabling the logging service itself. Adversaries may perform these actions to tamper with audit trails and evade detection of malicious activities.
Detects suspicious modifications to Google Cloud Platform compute instance metadata, specifically the enabling of serial ports or the addition of startup scripts, which can be leveraged to execute arbitrary commands on a virtual machine. This rule also monitors for the initiation of GCP Cloud Shell environments, which may be used as a platform for further administrative activity.
Detects the assignment of high-privilege roles to cloud user accounts in Entra ID, AWS, or GCP when that assignment is preceded by anomalous sign-in behavior (high-risk or failed authentication) within 24 hours, or when the account appears to be dormant (no activity in 90+ days) prior to the privilege assignment.
Detects unauthorized processes attempting to access the cloud instance metadata service (169.254.169.254). Adversaries frequently target this endpoint to extract sensitive instance information, such as IAM credentials or configuration data, typically as part of post-exploitation discovery or SSRF-based attacks.
Detects unauthorized privilege escalation for AI agent identities within an orchestration platform. The rule triggers when an AI agent account receives an IAM role change, API scope grant, or tool permission update that lacks a corresponding human-approval audit event, or occurs shortly after the agent generates logs indicating potential prompt injection or anomalous behavior.
Detects the creation of scheduled tasks, recurring jobs, or webhook subscriptions by a user identity flagged as an AI_AGENT. This activity is monitored for persistence, especially when the event lacks a descriptive context or targets external networks, suggesting potential unauthorized agent behavioral drift or malicious persistence.
Detects clicks on sponsored search engine ads that redirect users to Google Cloud Storage (GCS) buckets with names or paths designed to impersonate the 'Ledger' brand. These artifacts are indicative of a malvertising campaign using typosquatted storage paths to deliver malicious payloads or credential harvesting pages.
Detects unauthorized or suspicious modifications to machine learning model artifacts within a model registry or deployment pipeline. The rule triggers on detected checksum mismatches, bypassed security/approval workflows, or significant, anomalous deviations in model file size compared to previous versions, which are common indicators of malicious tampering (AML.T0018).
Detects clicks on sponsored search engine ads that redirect users to Google Cloud Storage (GCS) buckets with names or paths designed to impersonate the 'Ledger' brand. These artifacts are indicative of a malvertising campaign using typosquatted storage paths to deliver malicious payloads or credential harvesting pages.
Detects clicks on sponsored search engine ads that redirect users to Google Cloud Storage (GCS) buckets with names or paths designed to impersonate the 'Ledger' brand. These artifacts are indicative of a malvertising campaign using typosquatted storage paths to deliver malicious payloads or credential harvesting pages.
Detects evidence of account persistence and potential mailbox manipulation following an anomalous sign-in event in Google Workspace. The rule identifies suspicious post-compromise activity such as the addition of new MFA methods, new OAuth application grants, or mailbox forwarding/inbox rules, which are consistent with the reuse of captured authenticated sessions.
This rule detects the unauthorized download of complete ML model checkpoint or weight files from a model registry or object storage. It monitors for common model file extensions in download events that are not associated with a legitimate deployment justification or a pre-approved change management window, helping to identify potential intellectual property theft or model exfiltration attempts.
Detects the creation or modification of Google Cloud Config Connector (KCC) IAM resources (IAMPolicyMember, IAMPartialPolicy, IAMPolicy) that assign high-privilege roles like 'roles/owner' or 'roles/resourcemanager.organizationAdmin'. This monitors for potential privilege escalation where a low-privilege actor leverages the KCC controller's high-privilege service account to perform unauthorized IAM binding changes on Google Cloud resources.
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