Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
295 detections
Filters
Last updated
All Time
Detection languages
159
38
32
29
17
Contributors
96
50
39
17
14
Categories
171
167
134
53
43
Platforms
129
123
96
46
27
Products / Services
144
37
31
29
19
MITRE Techniques
18,115
15,635
12,576
8,388
6,215
CVEs
1
IDS Classtypes
4
IDS Protocols
4
Detects the export of Microsoft Teams messages, transcripts, recordings, and chat retrieval activities, particularly when performed via the Graph API. This rule identifies suspicious activity by looking for specific operation names in SaaS audit logs and flags potentially malicious user agents commonly associated with automation tools (e.g., python-requests, axios, go-http, curl, wget, powershell, httpx, aiohttp, node). It also categorizes user agents by risk level (HIGH, MEDIUM, NONE) and extracts relevant details like device IDs, IP addresses, and chat information. This activity can indicate post-compromise attackers using stolen tokens to silently export chat history.
Detects an unusually high frequency of storage blob and container listing operations within a short time window. This behavior often indicates an attempt to enumerate the contents of Azure Blob Storage, which may be a precursor to data discovery or exfiltration.
This rule detects multiple unauthorized access attempts to files identified as machine learning models, weights, or checkpoints. It specifically looks for Security Event ID 4656 (Auditing of object access) where the object name contains keywords like 'model', 'weights', or 'checkpoint', and the access mask indicates unauthorized access attempts (0x0001 for ReadData or ListDirectory, 0x0002 for WriteData or AddFile). The rule then summarizes these attempts by user, computer, and hour, triggering an alert if 5 or more attempts are made within an hour.
This rule detects potential unauthorized access to Azure Storage Blobs following the retrieval of storage account access keys. It correlates 'ListKeys' API events with subsequent blob access activities from either unrecognized IP addresses or via Shared Access Signature (SAS) tokens, indicating potential credential misuse.
This rule detects anomalous high-volume file download activities from Microsoft SharePoint and OneDrive for Business, which may indicate data exfiltration. The rule aggregates download events by user and IP address over 10-minute intervals and triggers when the download count exceeds 200, excluding known service/backup accounts.
This rule detects potential unauthorized access to Azure Storage Blobs following the retrieval of storage account access keys. It correlates 'ListKeys' API events with subsequent blob access activities from either unrecognized IP addresses or via Shared Access Signature (SAS) tokens, indicating potential credential misuse.
Detects changes to SharePoint tenant-level or site-level sharing policies that expand external access to 'Anyone' (anonymous links) or 'ExternalUserAndGuestSharing'. Such modifications represent a significant security posture regression that may facilitate unauthorized data access or facilitate exfiltration pathways.
Detects anomalous or suspicious behavior from Microsoft 365 Copilot agents, plugins, or sessions. This includes bulk access to files containing sensitive keywords, unauthorized export or sharing of sensitivity-labeled documents, and high-volume Microsoft Graph API read activity targeting sensitive paths in SharePoint or OneDrive.
Detects changes to SharePoint tenant-level or site-level sharing policies that expand external access to 'Anyone' (anonymous links) or 'ExternalUserAndGuestSharing'. Such modifications represent a significant security posture regression that may facilitate unauthorized data access or facilitate exfiltration pathways.
This rule detects suspicious activities related to AWS S3 buckets that could indicate a bucket hijacking attempt or unauthorized replication to an external account. Specifically, it looks for two scenarios: 1) an S3 bucket being deleted and then recreated by a different AWS account within a one-hour window, suggesting a namespace hijacking, or 2) an S3 bucket being deleted while a PutBucketReplication event references an external AWS account, indicating an attempt to exfiltrate data or maintain access through replication.
Detects bulk file access, download, or sync operations by a single user account within a 30-minute window in Microsoft SharePoint Online or OneDrive for Business. This behavior is indicative of potential data exfiltration or unauthorized mass collection of sensitive information.
Detects anomalous activity where a single user or service principal downloads more than 5 Microsoft Teams meeting recordings within a 1-hour window. This behavior potentially indicates an insider threat or compromised account performing bulk harvesting of sensitive meeting content.
Detects anomalous or suspicious behavior from Microsoft 365 Copilot agents, plugins, or sessions. This includes bulk access to files containing sensitive keywords, unauthorized export or sharing of sensitivity-labeled documents, and high-volume Microsoft Graph API read activity targeting sensitive paths in SharePoint or OneDrive.
Detects Entra ID guest (B2B) users performing a sign-in from a previously unseen IP address or country (observed over the last 30 days), followed within a 4-hour window by sensitive file operations in SharePoint, OneDrive, or Teams (e.g., file downloads, exports, or sensitivity label changes). This pattern is indicative of potential account takeover or unauthorized access to sensitive corporate data.
Detects rapid high-volume file and messaging operations across multiple Microsoft 365 services (SharePoint, OneDrive, Teams, Exchange) within a compressed 10-minute window from a single identity and IP address. This behavior can indicate data exfiltration or reconnaissance by an adversary.
Detects broad assignments of administrative roles or specific deletion permissions for cloud storage buckets in GCP, AWS, and Azure. This includes granting 'storage.admin', 'storage.objectAdmin', or 'storage.buckets.delete' in GCP, 's3:DeleteBucket' in AWS IAM policies, or 'Storage Account Contributor'/'Owner' roles in Azure. Such assignments to service accounts or non-administrative identities could enable 'Universal Bucket Hijacking' or unauthorized data deletion.
Detects rapid high-volume file and messaging operations across multiple Microsoft 365 services (SharePoint, OneDrive, Teams, Exchange) within a compressed 10-minute window. This behavior can indicate data exfiltration or collection by an adversary.
Detects an unusually high frequency of storage blob and container listing operations within a short time window. This behavior often indicates an attempt to enumerate the contents of Azure Blob Storage, which may be a precursor to data discovery or exfiltration.
Detects a potential logging sink hijack in Google Cloud Platform (GCP) by identifying the deletion of a logging sink's destination bucket followed by the creation of a new bucket with the same name in a different project. This technique could allow an attacker to redirect logs to an attacker-controlled bucket, impairing defenses and potentially exfiltrating sensitive log data.
Detects high volume Google Cloud Storage (GCS) object listing and downloads, which can indicate reconnaissance of cloud storage contents or data exfiltration. The rule correlates multiple 'storage.objects.list' and 'storage.objects.get' operations within a one-hour window from the same identity, bucket, and project, flagging activity exceeding 50 operations.
Detects anomalous activity where a single user or service principal downloads more than 5 Microsoft Teams meeting recordings within a 1-hour window. This behavior potentially indicates an insider threat or compromised account performing bulk harvesting of sensitive meeting content.
Page 10 of 15