Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects when an authorization token, initially observed in Google Kubernetes Engine (GKE) activity logs, is subsequently used within a command line on an endpoint system. This behavior suggests that a GKE pod's credential may have been exfiltrated and is being reused on a different system, potentially indicating unauthorized access or credential theft.
The following analytic detects cloud provisioning activities originating from previously unseen IP addresses. It leverages cloud infrastructure logs to identify events where resources are created or started, and cross-references these with a baseline of known IP addresses. This activity is significant as it may indicate unauthorized access or potential misuse of cloud resources. If confirmed malicious, an attacker could gain unauthorized control over cloud resources, leading to data breaches, service disruptions, or increased operational costs.
The analytic detects when a user removes an organization from GitHub Enterprise. The detection monitors GitHub Enterprise audit logs for organization deletion events, which could indicate unauthorized removal of critical business resources. For a SOC, identifying organization removals is crucial as it may signal account compromise, insider threats, or malicious attempts to disrupt business operations by deleting entire organizational structures. The impact could be severe, potentially resulting in loss of source code, repositories, team structures, access controls, and other critical organizational assets. This disruption could halt development workflows, cause data loss, and require significant effort to restore from backups if available. Additionally, unauthorized organization removal could be part of a larger attack campaign aimed at destroying or compromising enterprise assets.
The analytic detects the creation of a Kubernetes NodePort service, which exposes a service to the external network. It identifies this activity by monitoring Kubernetes Audit logs for the creation of NodePort services. This behavior is significant for a SOC as it could allow an attacker to access internal services, posing a threat to the Kubernetes infrastructure's integrity and security. If confirmed malicious, this activity could lead to data breaches, service disruptions, or unauthorized access to sensitive information.
The following analytic detects the execution of the `Find-LocalAdminAccess` cmdlet using PowerShell Script Block Logging (EventCode=4104). This cmdlet is part of PowerView, a toolkit for Windows domain enumeration. Identifying the use of `Find-LocalAdminAccess` is crucial as adversaries may use it to find machines where the current user has local administrator access, facilitating lateral movement or privilege escalation. If confirmed malicious, this activity could allow attackers to target and compromise additional systems within the network, significantly increasing their control and access to sensitive information.
This analytic detects the execution of the 'shred' command on a Linux machine, which is used to overwrite files to make them unrecoverable. It leverages data from Linux Auditd, focusing on process names and command-line arguments. This activity is significant because the 'shred' command can be used in destructive attacks, such as those seen in the Industroyer2 malware targeting energy facilities. If confirmed malicious, this activity could lead to the permanent destruction of critical files, severely impacting system integrity and data availability.
Alerts when an authorization token originating from GKE activity is subsequently used within a command line on an endpoint system, suggesting potential credential exfiltration and reuse.
Detects when a Key Management Service (KMS) decryption operation is carried out by a service account that is not in an allowlist. This behavior may indicate unauthorized access to sensitive information protected by KMS keys. The rule specifically looks for 'Decrypt' events within Google Cloud Platform (GCP) and flags any service account performing this action if it's not part of a predefined allowlist.
Detects when a Key Management Service (KMS) decryption operation is carried out by a service account that's not in the allowlist. This behavior may indicate unauthorized access to information.
This rule detects when a new Google Cloud Platform (GCP) firewall rule is created that allows traffic from any source IP address (0.0.0.0/0) on all protocols. This configuration significantly broadens the attack surface and could indicate a misconfiguration or malicious activity aimed at bypassing network defenses.
Detect when a GCP Firewall rule is opened to the world (0.0.0.0/0) on all protocols.
Detects when Google Cloud Audit logs are removed from all services at either the project or organization level. This action can indicate an adversary attempting to impair defenses by disabling logging to hide their activities.
This rule detects when highly privileged administrative roles, specifically 'Owner' or 'Editor', are assigned to a service account within Google Cloud Platform. This activity is significant because service accounts with such elevated permissions can be leveraged by attackers for persistence, privilege escalation, and to perform a wide range of actions within the GCP environment, potentially leading to compromise of cloud resources.
This rule detects when a Google Cloud Platform (GCP) BigQuery dataset's access policy is modified to include 'allUsers' or 'allAuthenticatedUsers'. This action effectively makes the dataset publicly accessible, which can lead to unauthorized data exposure and potential data exfiltration. The rule specifically looks for 'IAMPolicy.SetIamPolicy' events on BigQuery resources where a binding delta adds a role (e.g., 'roles/bigquery.dataViewer') to either 'allUsers' or 'allAuthenticatedUsers'.
This rule detects when multiple HMAC (Hash-based Message Authentication Code) authentication keys are deleted from Google Cloud Storage settings within a one-hour window by the same user. HMAC keys are used for programmatic access to Cloud Storage, and their deletion can indicate an attempt to disrupt legitimate access, cover tracks, or impact service availability.
This rule detects when a single user generates an excessive number of 'Permission Denied' events within a one-hour timeframe in Google Cloud Platform (GCP). Specifically, it looks for more than 5 'BLOCK' actions with a severity of 'ERROR' and a status code of '7' (which typically indicates 'Permission Denied' in GCP API errors) from a single user. Additionally, it requires these events to span across more than one target application and more than one product event type, which helps to reduce false positives by indicating broader activity rather than a single, isolated error.
This rule detects when a Google Cloud Platform (GCP) Identity and Access Management (IAM) Organization Policy is either updated or deleted. Such actions can indicate an attempt to modify security controls, potentially to facilitate persistence or privilege escalation within the GCP environment. Monitoring these changes is crucial for maintaining the security posture of an organization's cloud resources.
Detects when a user deletes multiple secrets or secret versions from Google Cloud Platform (GCP) Secret Manager within a one-hour period. This activity could indicate an attempt to destroy critical data or disrupt services.
This rule detects when a Google Cloud Platform (GCP) Compute Engine image's access policy is modified to include 'allAuthenticatedUsers'. This action effectively makes the image publicly accessible to any authenticated Google user, which could lead to unauthorized access or data exfiltration if sensitive data is present in the image.
This rule detects when a single user disables or destroys 10 or more Google Cloud KMS (Key Management Service) crypto key versions within a one-hour period. This activity could indicate an attacker attempting to destroy data encrypted by these keys, leading to data unavailability or integrity issues. The rule specifically looks for 'DestroyCryptoKeyVersion' events or 'UpdateCryptoKeyVersion' events where the key version state is changed to 'DISABLED'.
This rule detects when a single user downloads results from multiple BigQuery tables within a one-hour window. This behavior can be indicative of data exfiltration attempts, where an attacker or insider is trying to extract a large amount of data from an organization's data warehouse.
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