Detections

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

2,832 detections

Detects activity from Anthropic network range across multiple event types
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Arnold Chan@slaz
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Midnight Slayer
2 months ago
103
Detects activity from Anthropic network range across multiple event types
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
003
Detects activity from Anthropic network range across multiple event types
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
Detects the creation of a new AWS S3 bucket followed by a large volume of data uploads (more than 200 objects) within a 2-hour window. The detection focuses on activity attributed to a single identity with limited source IP diversity, which is highly indicative of scripted data staging and potential exfiltration preparation by an unauthorized actor.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
003
This rule monitors Microsoft Graph API audit logs for suspicious patterns indicative of automated discovery or enumeration of SharePoint and OneDrive environments. It detects high-frequency access to sensitive API endpoints (such as /sites, /drives, or /children) and the use of pagination parameters (skiptoken, top) within short time intervals, which are common techniques used to crawl and inventory organizational data at scale.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
This rule monitors Microsoft Graph API audit logs for suspicious patterns indicative of automated discovery or enumeration of SharePoint and OneDrive environments. It detects high-frequency access to sensitive API endpoints (such as /sites, /drives, or /children) and the use of pagination parameters (skiptoken, top) within short time intervals, which are common techniques used to crawl and inventory organizational data at scale.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects anomalous high-volume access to Exchange Online via the One Outlook Web/Office client, potentially indicating data exfiltration or automated mass email access by a compromised account.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
This rule detects potential reconnaissance activity within a Microsoft Entra ID (Azure AD) environment by monitoring Microsoft Graph API audit logs. It specifically flags accounts that exhibit high-frequency access to sensitive endpoints related to directory roles, role management, authentication methods, service principals, and application permissions. The detection triggers when an identity interacts with multiple distinct sensitive API paths within a 30-minute window, a pattern indicative of an adversary enumerating privileges, MFA configurations, or application consent settings for potential escalation or persistence.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
This rule detects high-frequency interaction with the Exchange REST API originating from user agents identified as 'One Outlook Web', potentially indicative of automated password spraying or brute force attacks targeting cloud mailboxes. This rule identifies the underlying event pattern and should be paired with a scheduled/aggregation rule to detect the volume threshold (e.g., 500+ events per hour).
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
This rule detects high-frequency and broad-scope enumeration of multiple Microsoft Graph API endpoints by a single identity. By monitoring for access to diverse sensitive categories (organization, users, groups, directoryroles, sites, messages) within a short timeframe, it flags activity patterns consistent with reconnaissance, account discovery, or unauthorized data exploration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
This rule detects potentially malicious or automated data access patterns within Microsoft 365 or similar cloud environments. It identifies user accounts or applications that exhibit a high volume of file/email access operations across a diverse set of paths, which is often indicative of automated data exfiltration, scraping, or suspicious collection by a compromised identity.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects high-volume image pull activity against an Azure Container Registry from a single identity, which may indicate reconnaissance or mass harvesting of container images to extract embedded credentials, secrets, or source code.
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Arnold Chan@slaz
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Detection & Hunting Community
2 months ago
003
Detects anomalous authentication behavior where a user successfully completes an OAuth device-code grant, followed by a subsequent login event using the same user context but originating from a different source IP address. This pattern is indicative of device-code phishing, where an adversary tricks a user into authorizing a device, then uses the resulting session or token from their own infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects anomalous, high-frequency access to multiple distinct Microsoft Graph API endpoints (e.g., users, groups, applications) by a single user within a short timeframe, which is indicative of tenant-wide reconnaissance following identity compromise.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects anomalous reconnaissance activity targeting sensitive Microsoft Graph control-plane endpoints, including directory roles, MFA settings, application registrations, service principals, and OAuth consent configurations. The rule identifies high-volume access across multiple distinct sensitive endpoints within a short time frame, which is indicative of an adversary enumerating infrastructure to identify opportunities for privilege escalation, persistence, or bypass of security controls.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects anomalous authentication behavior where a user successfully completes an OAuth device-code grant, followed by a subsequent login event using the same user context but originating from a different source IP address. This pattern is indicative of device-code phishing, where an adversary tricks a user into authorizing a device, then uses the resulting session or token from their own infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects anomalous, high-frequency access to multiple distinct Microsoft Graph API endpoints (e.g., users, groups, applications) by a single user within a short timeframe, which is indicative of tenant-wide reconnaissance following identity compromise.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects high-frequency requests to Microsoft Graph API endpoints related to messages, mailFolders, or attachments, indicative of an adversary performing mailbox reconnaissance or data collection via cloud APIs.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects anomalous, high-volume activity directed at SharePoint and OneDrive Graph API endpoints (e.g., /sites, /drives, /search, /children). The activity pattern, characterized by multiple distinct path requests and the usage of pagination tokens within a short timeframe, strongly indicates an adversary attempting to map the file structure and contents of a repository prior to data collection or exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects anomalous, high-volume enumeration of SharePoint and OneDrive resources via Microsoft Graph API by monitoring for repeated access patterns involving /sites, /drives, or /drive endpoints combined with search, directory traversal, and pagination parameters.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
Detects anomalous or high-volume activity related to Microsoft Graph API calls targeting email messages, mail folders, or attachments. This behavior is indicative of potential unauthorized bulk email collection or exfiltration attempts, often observed in account compromise scenarios where an attacker enumerates and downloads mail contents.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
000
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