Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

361 detections

Detects high volume Google Cloud Storage (GCS) object listing and downloads, which can indicate reconnaissance of cloud storage contents or data exfiltration. The rule aggregates operations by identity, bucket, and project ID over a one-hour period and flags activity exceeding 50 total operations.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
5 months ago
5010
Detects external users accessing internal Slack canvases and suspicious canvas deletion or access level changes. Canvases can contain sensitive runbooks, credentials, and organizational data, making these actions critical to monitor for potential data exfiltration or unauthorized access.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
5 months ago
507
This rule detects an abnormal volume of large file downloads or exports from cloud applications, excluding SharePoint, OneDrive, and Teams. It identifies instances where a single account downloads or exports more than 3 files with an average size greater than 10 MB within an hour from a specific application and IP address. This behavior could indicate data exfiltration or unauthorized data access.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
207
This rule detects attempts to enumerate Azure Blob Storage containers. It specifically looks for HTTP requests targeting Azure Blob storage hosts (ending with '.blob.core.windows.net') and containing the query parameter '?comp=list', which is used to list containers within a storage account. This activity is indicative of reconnaissance or discovery against Azure cloud resources.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects attempts to enumerate AWS S3 buckets by making HTTP requests to s3.amazonaws.com with the '?list-type=2' parameter in the URI. This type of request is commonly used to list the contents of an S3 bucket.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects attempts to enumerate objects within a Google Cloud Storage (GCS) bucket. It triggers when HTTP requests are made to 'storage.googleapis.com' with a URI containing '/b/', indicating an attempt to access or list buckets or their contents. The thresholding mechanism (10 events within 30 seconds from the same source IP) aims to identify rapid, potentially automated, enumeration activities.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects HTTP PUT requests to Amazon S3 or Azure Blob Storage (cloud storage services) where the request body size is between 100 and 2000 bytes. This pattern is often indicative of one-way command and control (C2) communication, where an attacker might be exfiltrating small chunks of data or sending commands to a compromised host via cloud storage. The thresholding mechanism (20 events within 300 seconds from the same source) aims to reduce alerts from legitimate, infrequent cloud storage interactions.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects a high volume of HTTP GET requests to storage.googleapis.com, indicating a potential bulk download of objects from Google Cloud Storage. The threshold is set to 50 requests within 60 seconds from a single source IP address.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects large HTTP PUT requests (over 50KB) directed towards common cloud storage services (Amazon S3, Azure Blob Storage, Google Cloud Storage). This activity could indicate data exfiltration to an external cloud account.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects attempts to enumerate AWS S3 object lists, which could indicate data discovery activities. It specifically looks for HTTP requests to s3.amazonaws.com or .s3-website domains containing the string 'list' in the URI, with a threshold of 10 occurrences within 30 seconds from the same source.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects an abnormal volume of large file downloads or exports from cloud applications, excluding SharePoint, OneDrive, and Teams. It identifies instances where a single account downloads or exports more than 3 files with an average size greater than 10 MB within an hour from a specific application and IP address. This behavior could indicate data exfiltration or unauthorized data access.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
4011
Detects access or creation of files within Google Drive that have credential-related names, indicating potential credential harvesting attempts or unauthorized access to sensitive data. The rule specifically looks for file events such as 'view', 'edit', 'create', or 'access_url' on files whose titles contain keywords commonly associated with credentials (e.g., password, secret, key, token, etc.).
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
5 months ago
120167
Detects file downloads from Box which could indicate potential data exfiltration by insiders or compromised accounts. This rule specifically looks for 'DOWNLOAD' operations within Box SaaS audit logs.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
5 months ago
5091
Detects suspicious sharing activity in Box, including the creation of open links, external collaboration invites, role escalation, and weakening of sharing policies. This rule identifies high-risk activities such as making files publicly visible without password protection, inviting external users with co-owner or editor roles, and changes that reduce security like removing expiration dates on shared links.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
5 months ago
609
This rule detects when users perform search queries in SharePoint Online that contain keywords indicative of sensitive data. The rule categorizes these searches into several types: credentials, personnel/HR information, infrastructure reconnaissance, financial/PII, and confidential business information.
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Collin Lairamore@Bollinmore
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XQL Threat Forge
5 months ago
150158
This rule detects when users perform search queries in SharePoint Online that contain keywords indicative of sensitive data. The rule categorizes these searches into several types: credentials, personnel/HR information, infrastructure reconnaissance, financial/PII, and confidential business information.
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Collin Lairamore@Bollinmore
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Detections.ai Community
6 months ago
90406
Detects successful access to Azure Blob Storage using storage account keys (key1 or key2). This activity is often indicative of an adversary using compromised credentials to access cloud storage resources.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
7 months ago
70101
Detects access to Azure Blob Storage using Shared Access Signature (SAS) authentication. This rule specifically looks for successful blob operations where the authentication type is SAS and the identity name matches 'key1' or 'key2', which are often associated with storage account access keys used to generate SAS tokens. Monitoring such access can help identify unauthorized or suspicious use of SAS tokens.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
7 months ago
3096
Detects unauthenticated or anonymous access attempts to Azure Blob Storage. This rule identifies successful operations where the identity is explicitly listed as 'anonymous', indicating potential misconfigurations or unauthorized access to sensitive data.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
8 months ago
60127
Detects an identity downloading an unusually high number of blobs (more than 100) from Azure Storage within a one-hour window. This could indicate data exfiltration or unauthorized bulk access to cloud storage.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
8 months ago
5064
This rule detects instances where Microsoft Copilot accesses external resources, specifically identifying events where 'XPIADetected' is true. This indicates Copilot interacting with resources outside its immediate environment, which could be a security concern if the accessed resources are sensitive or untrusted.
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Benjamin Zulliger@benscha
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Detections.ai Community
8 months ago
120152
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