Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects when public or anonymous access is enabled for an Azure Storage Account. This configuration change can lead to potential data exposure, as it allows unauthenticated users to access blobs within the storage account. The rule specifically looks for 'STORAGEACCOUNTS/WRITE' or 'STORAGEACCOUNTS/BLOBSERVICES/WRITE' operations that successfully modify the storage account configuration to allow public access.
This rule detects when public or anonymous access is enabled for an Azure Storage Account. This configuration change can lead to potential data exposure, as it allows unauthenticated users to access blobs within the storage account. The rule specifically looks for 'STORAGEACCOUNTS/WRITE' or 'STORAGEACCOUNTS/BLOBSERVICES/WRITE' operations that successfully modify the storage account configuration to allow public access.
High AWS S3 Object Deletion Count
Cortex XDR
Detects when a single IP address or identity performs a high number of S3 object or bucket deletions within a short timeframe. This could indicate an attacker attempting to destroy data, evade detection, or disrupt services.
This rule detects Amazon S3 PutObject events where server-side encryption is performed using SSE-C (Server-Side Encryption with Customer-Provided Keys) or where the request uses Signature Version 2 (SigV2). SSE-C relies on the customer to manage encryption keys, which can introduce risks if not handled securely. SigV2 is an older, less secure authentication protocol for AWS requests and its use is generally discouraged in favor of SigV4.
Detects S3 object encryption using either customer-provided keys (SSE-C) or externally managed KMS keys (BYOK/XKS). These methods are leveraged by S3 ransomware variants to encrypt data with keys that are not controlled by the victim or AWS, making recovery difficult or impossible without paying a ransom.
Detects when an Azure Blob Storage container's access level is changed to allow public access, or when a long-lived, highly privileged Shared Access Signature (SAS) token is created. Threat actors can use these methods for persistence and data exfiltration.
Detects the deletion of S3 buckets in AWS CloudTrail logs. Monitoring the deletion of S3 buckets is critical for security and data integrity, as it may indicate potential data loss or unauthorized access attempts.
KQL Query from file: Azure Cloud Security Monitoring
'Detect mass file deletion events within Azure File and Blob storage. deleteWindow controls
the period of time the deletions must occur in, whilst the deleteThreshold controls how many files
must be deleted within that threshold. Query works on a per-IP address basis, so will only detect a single
IP deleting multiple files.'
the period of time the deletions must occur in, whilst the deleteThreshold controls how many files
must be deleted within that threshold. Query works on a per-IP address basis, so will only detect a single
IP deleting multiple files.'
This analytic identifies the creation of new open/public GCP Storage buckets. It leverages GCP PubSub events, specifically monitoring for the `storage.setIamPermissions` method and checks if the `allUsers` member is added. This activity is significant because open storage buckets can expose sensitive data to the public, posing a severe security risk. If confirmed malicious, an attacker could access, modify, or delete data within the bucket, leading to data breaches and potential compliance violations.
This analytic detects API calls to enable S3 bucket replication services. It leverages AWS CloudTrail logs to identify `PutBucketReplication` events, focusing on fields like `bucketName`, `ReplicationConfiguration.Rule.Destination.Bucket`, and user details. This activity is significant as it can indicate unauthorized data replication, potentially leading to data exfiltration. If confirmed malicious, attackers could replicate sensitive data to external accounts, leading to data breaches and compliance violations.
The analytic identifies users with KMS keys performing encryption operations on S3 buckets. It leverages AWS CloudTrail logs to detect the `CopyObject` event where server-side encryption with AWS KMS is specified. This activity is significant as it may indicate unauthorized or suspicious encryption of data, potentially masking exfiltration or tampering efforts. If confirmed malicious, an attacker could be encrypting sensitive data to evade detection or preparing it for exfiltration, posing a significant risk to data integrity and confidentiality.
The following analytic detects when AWS S3 bucket versioning is suspended by a user. It leverages AWS CloudTrail logs to identify `PutBucketVersioning` events with the `VersioningConfiguration.Status` set to `Suspended`. This activity is significant because disabling versioning can prevent recovery of deleted or modified data, which is a common tactic in ransomware attacks. If confirmed malicious, this action could lead to data loss and hinder recovery efforts, severely impacting data integrity and availability.
The following analytic identifies the creation of open/public S3 buckets in AWS. It detects this activity by analyzing AWS CloudTrail events for `PutBucketAcl` actions where the access control list (ACL) grants permissions to all users or authenticated users. This activity is significant because open S3 buckets can expose sensitive data to unauthorized access, leading to data breaches. If confirmed malicious, an attacker could read, write, or fully control the contents of the bucket, potentially leading to data exfiltration or tampering.
The following analytic detects when AWS S3 bucket versioning is suspended by a user. It leverages AWS CloudTrail logs to identify `PutBucketVersioning` events with the `VersioningConfiguration.Status` set to `Suspended`. This activity is significant because disabling versioning can prevent recovery of deleted or modified data, which is a common tactic in ransomware attacks. If confirmed malicious, this action could lead to data loss and hinder recovery efforts, severely impacting data integrity and availability.
The following analytic detects the creation of open/public S3 buckets via the AWS CLI. It leverages AWS CloudTrail logs to identify events where a user has set bucket permissions to allow access to "AuthenticatedUsers" or "AllUsers." This activity is significant because open S3 buckets can expose sensitive data to unauthorized users, leading to data breaches. If confirmed malicious, an attacker could gain unauthorized access to potentially sensitive information stored in the S3 bucket, posing a significant security risk.
Anonymous links can be used to export files from OneDrive. While this isn't always a sign of malicious activity, some organizations do not support the creation of anonymous links because of the risk of data leakage. This rule detects the creation or modification of anonymous links in OneDrive.
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 an AWS S3 bucket's Access Control List (ACL) is modified to make the bucket publicly accessible. Specifically, it looks for `PutBucketAcl` events in AWS CloudTrail where the grantee URI is set to either "AuthenticatedUsers" (meaning any AWS user can access it) or "AllUsers" (meaning anyone on the internet can access it). This action indicates a potential misconfiguration or malicious activity leading to data exposure.
This rule detects when a Google Cloud Storage bucket's access policy is modified to allow public access. This occurs when 'allUsers' or 'allAuthenticatedUsers' are added to the bucket's permissions, granting broad access to its contents. Such a configuration can lead to unintended data exposure and is a significant security risk.
Identifies when a user deletes multiple files from Google Drive, which may indicate data destruction.
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