Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
461 detections
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Detects a spike in undeliverable emails, this can be an early indication of a targeted phishing campaign or a compromised user account.
Detects when an API access service account is granted domain authority within Google Workspace. This action can be used by an attacker to gain persistent and elevated access to an organization's Google Workspace data and services by allowing a service account to impersonate users across the domain.
Identifies when an admission controller is executed in GCP Kubernetes. A Kubernetes Admission controller intercepts, and possibly modifies, requests to the Kubernetes API server. The behavior of this admission controller is determined by an admission webhook (MutatingAdmissionWebhook or ValidatingAdmissionWebhook) that the user deploys in the cluster. An adversary can use such webhooks as the MutatingAdmissionWebhook for obtaining persistence in the cluster. For example, attackers can intercept and modify the pod creation operations in the cluster and add their malicious container to every created pod. An adversary can use the webhook ValidatingAdmissionWebhook, which could be used to obtain access credentials. An adversary could use the webhook to intercept the requests to the API server, record secrets, and other sensitive information.
Detects the deployment of container workloads in Google Cloud Platform (GCP) that utilize the 'break-glass' flag to bypass Binary Authorization controls. This indicates an intentional override of security policies designed to ensure only trusted images are deployed, potentially allowing unauthorized or malicious container images to run.
Detects when a Google Workspace user is granted administrative privileges. This could indicate a legitimate administrative action or a malicious attempt to escalate privileges within the Google Workspace environment.
Detects the creation or modification of a GitHub Actions workflow file that attempts to exfiltrate secrets. This pattern is associated with the Shai-Hulud worm, which injects malicious workflows to steal credentials using `toJSON(secrets)` and exfiltrate them using tools like `curl` and `base64`.
Detects potential data exfiltration from cloud storage or SaaS platforms based on a large volume of data transferred or a high number of distinct files accessed by a single user or application within a one-hour window. This is a common TTP for threat actors like ShinyHunters who aim to steal large datasets.
A post-authentication vulnerability (CVE-2025-53786) in Microsoft Exchange hybrid-joined configurations.
This rule detects the creation of a Kubernetes pod with a privileged container. Privileged containers have full root capabilities on the host and can bypass many security mechanisms, making them a significant security risk. The rule specifically excludes system service accounts from the 'kube-system' namespace to reduce false positives from legitimate system operations.
This rule detects the creation of Kubernetes pods by non-system service accounts within namespaces that start with 'kube'. This could indicate an attempt to establish persistence or escalate privileges within the Kubernetes cluster by creating malicious pods in critical system namespaces.
SPL Query from file: Enumeration of GCP Infrastructure
This query looks for users sharing access to files with external users.
This applies to SharePoint and OneDrive users.
Audit event and Cloud application identifier references.
Reference - https://learn.microsoft.com/microsoft-365/compliance/audit-log-sharing?view=o365-worldwide
Reference - https://learn.microsoft.com/azure/sentinel/entities-reference#cloud-application-identifiers
This applies to SharePoint and OneDrive users.
Audit event and Cloud application identifier references.
Reference - https://learn.microsoft.com/microsoft-365/compliance/audit-log-sharing?view=o365-worldwide
Reference - https://learn.microsoft.com/azure/sentinel/entities-reference#cloud-application-identifiers
'This detection identifies high-severity alerts across various Microsoft security products, including Microsoft Defender XDR and Microsoft Entra ID, and correlates them with instances of Google Cloud VM creation. It focuses on instances where VMs were created within a short timeframe of high-severity alerts, potentially indicating suspicious activity.'
This query helps hunting for BEC - File sharing tactics - Dropbox
'Identifies evidence of brute force activity against a user based on multiple authentication failures and at least one successful authentication within a given time window.
Note that the query does not enforce any sequence, and does not require the successful authentication to occur last.
The default failure threshold is 10, success threshold is 1, and the default time window is 20 minutes.
To use this analytics rule, make sure you have deployed the [ASIM normalization parsers](https://aka.ms/ASimAuthentication)'
Note that the query does not enforce any sequence, and does not require the successful authentication to occur last.
The default failure threshold is 10, success threshold is 1, and the default time window is 20 minutes.
To use this analytics rule, make sure you have deployed the [ASIM normalization parsers](https://aka.ms/ASimAuthentication)'
'Identifies IP addresses that may be performing DNS lookups associated with common currency mining pools.
This analytic rule uses [ASIM](https://aka.ms/AboutASIM) and supports any built-in or custom source that supports the ASIM DNS schema'
This analytic rule uses [ASIM](https://aka.ms/AboutASIM) and supports any built-in or custom source that supports the ASIM DNS schema'
Looks for accounts that uploaded multiple code repositories to external web domain.
'Attacker can exfiltrate data from your GitHub repository by cloning it. This hunting query tracks clone activities for each repository, allowing quick identification of anomalies/excessive clones to investigate repo access & permissions.'
This query helps reviewing emails accessed by end users using cloud app events data
'This hunting query identifies a fork activity against a repository done by a user who is not the owner of the repo nor a contributes.'
This rule detects user logins from multiple distinct states or countries within a one-hour window, leveraging GeoIP enrichment. It specifically looks for successful login events where a user logs in from at least two different states or at least one country, indicating potential 'impossible travel' or suspicious access patterns.
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