Detections

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

3,750 detections

Detects anomalous activity in Microsoft Graph API logs where a single user or application interacts with three or more distinct category endpoints (e.g., users, groups, mailfolders) and at least six unique paths within a 30-minute interval, suggesting reconnaissance or broad enumeration of the M365 tenant environment.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects high-volume, potentially automated data access, collection, or staging activities within Microsoft 365 services (SharePoint, OneDrive, and Exchange). The rule flags user identities performing a high count of operations (downloads, accesses, deletions, or export requests) across a wide range of unique objects or sites within a one-hour window, which is indicative of post-compromise mass data collection or exfiltration preparation.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects the addition of a new strong authentication method (MFA/authenticator device) to an account. This activity is a common indicator of persistence following a successful AiTM (Adversary-in-the-Middle) phishing attack or initial account compromise, as attackers establish their own MFA device to maintain long-term access.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects incoming or urgent security-themed emails (related to MFA, SSO, or passkeys) that originate from purported IT departments and are followed by a user clicking a link associated with Microsoft or authentication portals. This behavior is indicative of credential harvesting or consent phishing campaigns masquerading as internal IT security updates.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
1005
Detects anomalous, high-frequency cloud management API requests across multiple sensitive paths (such as directory roles, applications, and service principals) from a single account. This pattern is indicative of automated enumeration or discovery of cloud infrastructure, permissions, and identity configurations, which is often a precursor to further exploitation.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
405
Detects anomalous, high-volume file download activity from SharePoint or OneDrive initiated through identified anonymous proxy services. This behavior suggests potential data exfiltration by an adversary attempting to mask their source IP address while offloading large amounts of data.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
105
This rule detects high-volume interactions with the Exchange Online REST API originated from the 'One Outlook Web' application ID, specifically filtering for events with associated token IDs. This pattern may indicate automated mailbox data exfiltration or unauthorized bulk email access, which has been observed in recent phishing-based identity compromise campaigns.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
005
Detects high-volume, automated access and download activity targeting sensitive data within Microsoft 365 services (SharePoint, OneDrive, and Exchange) using the Microsoft Graph API. The rule identifies suspicious patterns of URI access associated with file downloading and mail item access, which may indicate automated data exfiltration by an adversary using compromised credentials or OAuth tokens.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
005
This rule detects phishing emails attempting to impersonate executive roles (CEO, CFO, President) or using ServiceNow-themed lures (invoices, approvals) to solicit unauthorized ACH or wire transfers. The detection logic focuses on suspicious sender domains, payment-related keywords, and executive-specific titles in the email body.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects anomalous, high-volume file access and download activity targeting SharePoint or OneDrive. This behavior is identified by the use of the python-httpx User-Agent, which is often associated with automated scripts for data collection and exfiltration in cloud-based intrusions.
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Ibrahim Saud@tektrix
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Detections.ai Community
2 months ago
005
Detects potentially unauthorized or anomalous activations of highly privileged Entra ID roles (e.g., Global Administrator). The rule identifies activations that lack a business justification, occur during unusual hours (outside of 06:00-22:00), or exhibit burst patterns of repeated activation/deactivation cycles which may indicate automated credential abuse or persistence attempts.
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Ali AlEnezi@site
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Detections.ai Community
2 months ago
306
Detects a suspicious sequence of events where a user performs a device-code authentication followed by a device registration or PRT issuance within a 30-minute window. This behavior is indicative of an adversary using an OAuth device code flow to phish an initial access token, subsequently using it to register an adversary-controlled device for persistent access or to bypass Conditional Access policies.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
This rule detects anomalous high-frequency search activity within Microsoft 365 environments targeting sensitive keyword terms like 'invoice', 'payment', 'wire', or 'bank.details'. The detection identifies users performing multiple searches across mailbox or graph activity within a short period, which may indicate account compromise or unauthorized email exfiltration attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
002
This rule detects high-volume, burst-pattern email distribution associated with a 'New VM Received' subject line, originating from non-authorized or non-corporate domains. This behavior is indicative of potential mass phishing or spam campaigns mimicking automated voicemail notifications.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects Microsoft Teams communication (calls, chats, messages) originating from a different tenant where the sender's display name is identified as IT Support, Help Desk, or similar. This behavior is indicative of external actors attempting to impersonate internal IT staff to facilitate social engineering or credential harvesting.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects modifications or additions to Multi-Factor Authentication (MFA) security information for high-value users, specifically targeting those with executive titles (Director, VP, President, etc.). This behavior is frequently associated with account takeover attempts where an attacker registers their own MFA device to a compromised privileged account to maintain persistence.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects anomalous high-volume file access or download activity in Microsoft 365 (SharePoint or OneDrive) by a single user within a 15-minute window, which may indicate bulk data exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
201
Detects anomalous high-volume file access or download activity in Microsoft 365 (SharePoint or OneDrive) by a single user within a 15-minute window, which may indicate bulk data exfiltration.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects activity associated with the 'Ghostcode' threat campaign by monitoring multiple telemetry sources. It identifies connections to known malicious IP addresses and domains, patterns consistent with phishing kit hosting, and specific URL structures used in credential harvesting or payload delivery. The rule correlates sign-in logs, device network events, DNS queries, and email telemetry to identify potential compromise.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
003
Detects spoofed emails carrying a .patch attachment sent to a GitLab incoming-email merge-request address. Requires Microsoft's composite authentication verdict (CompAuth: fail) -- a lower-noise spoofing signal than raw SPF/DKIM/DMARC -- and excludes sender/recipient pairs already seen corresponding with that token address in the prior 30 days to suppress recurring legitimate contributors.
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Arnold Chan@slaz
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Hunters
1 month ago
000
Detects spoofed emails carrying a .patch attachment sent to a GitLab incoming-email merge-request address. Requires Microsoft's composite authentication verdict (CompAuth: fail) -- a lower-noise spoofing signal than raw SPF/DKIM/DMARC -- and excludes sender/recipient pairs already seen corresponding with that token address in the prior 30 days to suppress recurring legitimate contributors.
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Arnold Chan@slaz
Defender - KQL
1 month ago
000
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