Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
3,750 detections
Filters
Last updated
All Time
Detection languages
2,544
328
307
253
149
Contributors
953
720
641
297
173
Categories
1,245
994
880
773
476
Platforms
2,850
1,449
1,229
356
73
Products / Services
10,683
9,759
6,695
4,421
3,750
MITRE Techniques
1,096
989
950
912
820
CVEs
17
6
2
1
1
IDS Classtypes
9
4
3
2
2
IDS Protocols
21
1
Detects rapid, successive successful interactive sign-ins for the same user account that each satisfy MFA requirements, but originate from geographically and technically distinct environments (different IP locations, ASNs, and device IDs) within a 2-minute window. This behavior is indicative of session hijacking via Adversary-in-the-Middle (AiTM) or Phishing-as-a-Service (PhaaS) frameworks.
Detects rapid, successive successful interactive sign-ins for the same user account that each satisfy MFA requirements, but originate from geographically and technically distinct environments (different IP locations, ASNs, and device IDs) within a 2-minute window. This behavior is indicative of session hijacking via Adversary-in-the-Middle (AiTM) or Phishing-as-a-Service (PhaaS) frameworks.
Detects rapid, successive successful interactive sign-ins for the same user account that each satisfy MFA requirements, but originate from geographically and technically distinct environments (different IP locations, ASNs, and device IDs) within a 2-minute window. This behavior is indicative of session hijacking via Adversary-in-the-Middle (AiTM) or Phishing-as-a-Service (PhaaS) frameworks.
This rule identifies network activity, email URLs, and DNS queries associated with a specific set of known malicious domains often used in phishing or credential harvesting campaigns. By aggregating telemetry from EmailUrlInfo, EmailEvents, DeviceNetworkEvents, and DnsEvents, the rule flags any interactions with these indicators of compromise.
Detects instances where a single proxy service API key or account is used from an abnormally high number of distinct IP addresses within a short timeframe. This behavior is indicative of credential theft and unauthorized sharing or exploitation of proxy credentials by third-party actors.
Detects instances where a single proxy service API key or account is used from an abnormally high number of distinct IP addresses within a short timeframe. This behavior is indicative of credential theft and unauthorized sharing or exploitation of proxy credentials by third-party actors.
Detects instances where a single proxy service API key or account is used from an abnormally high number of distinct IP addresses within a short timeframe. This behavior is indicative of credential theft and unauthorized sharing or exploitation of proxy credentials by third-party actors.
Detects instances where a single proxy service API key or account is used from an abnormally high number of distinct IP addresses within a short timeframe. This behavior is indicative of credential theft and unauthorized sharing or exploitation of proxy credentials by third-party actors.
Detects incoming EXTERNAL emails containing subject lines indicative of meeting invitations or call records, which include external URLs pointing to non-standard or unverified cloud storage providers, combined with explicit remote-access/support solicitation language. Requiring the remote-access/support signal and excluding internal-to-internal mail narrows this to callback-phishing style lures rather than routine meeting correspondence.
Detects the creation of email inbox rules in Microsoft 365 where the rule name is exceptionally short ('.' or '..') and the rule performs potentially malicious actions such as forwarding, redirecting, or deleting incoming messages. This is a common technique used by attackers to hide malicious email activity or exfiltrate sensitive data from a compromised account.
This rule monitors for user interactions with specific domains and URLs known to be associated with suspicious or malicious activity. It aggregates data from multiple sources, including email clicks (UrlClickEvents), device network activity (DeviceNetworkEvents), device browser events (DeviceEvents), and DNS queries (DnsEvents), to identify potential exposure to these indicators of compromise.
This rule monitors for user interactions with specific domains and URLs known to be associated with suspicious or malicious activity. It aggregates data from multiple sources, including email clicks (UrlClickEvents), device network activity (DeviceNetworkEvents), device browser events (DeviceEvents), and DNS queries (DnsEvents), to identify potential exposure to these indicators of compromise.
Detects phishing emails containing URLs with IPv6-mapped IPv4 addresses (e.g., [::ffff:192.168.0.1]). Adversaries use this obfuscation technique to bypass security filters that may not correctly parse or normalize IPv6-mapped addresses within URLs.
Detects coordinated email phishing campaigns by normalizing email subjects to identify recurring templates and flagging those sent to a high volume of recipients across multiple organizations within a short timeframe. The rule specifically targets financial and urgent pretexts from external senders, similar to observed techniques in impersonation campaigns.
Detects a single user account downloading or accessing a high volume of files (more than 50) within a 15-minute window from SharePoint or OneDrive. This behavior often indicates automated data collection, potential mass exfiltration, or a compromised user account account accessing sensitive files in bulk.
This rule detects potentially unauthorized mailbox content exports within Microsoft 365, including the creation of mailbox export requests, PST-related compliance searches, and the downloading of exported search results. These activities are common precursors to data exfiltration.
This rule monitors for various types of events (user logons, network connections, API audits, cloud app events, and email traffic) originating from a specific CIDR block (160.79.104.0/21), which is flagged as suspicious or unauthorized.
This rule detects various event types (email, identity authentication, network connections, and cloud audit logs) originating from or interacting with the specific IP address range 160.79.104.0/22 to 160.79.111.0/22, which is associated with known malicious activity.
This rule detects potential phishing activity by correlating specific email subjects or sender addresses with subsequent user clicks on suspicious links. It identifies when users receive emails with subjects related to invoices or payment confirmations, or from specific known-bad sender domains, and then follows up by tracking interactions (clicks) with domains or patterns associated with the phishing lures (SharePoint, Adobe, verification, or device code login URLs).
This rule detects the creation or modification of inbox rules in Microsoft 365 that exhibit suspicious behaviors, such as hiding messages, deleting them, moving them, or automatically forwarding/redirecting them to external addresses. It also flags rules that contain finance-related keywords, often used in Business Email Compromise (BEC) campaigns.
This rule detects potentially unauthorized access to Microsoft Graph API resources (Mail or Files) following a device-code authentication event for the same user. It identifies scenarios where a previously unknown application client performs read operations within 24 hours of a device-code login, which is characteristic of 'ARToken' or 'EvilProxy' type device-code phishing and session proxy attacks.
Page 64 of 179