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
Monitors Azure AuditLogs for application consent events that grant high-privilege Microsoft Graph API scopes, such as Mail.Read, Files.ReadWrite.All, or Directory.ReadWrite.All. This activity is a common indicator of illicit consent grant phishing attacks, where adversaries trick users into granting permissions to a malicious OAuth application to gain persistent, unauthorized access to sensitive data without requiring direct user credentials or MFA.
This rule detects potentially malicious inbox rule creation or modification in Office 365 Exchange. It flags rules that contain keywords associated with financial fraud (e.g., invoice, wire, payment) and include actions that hide evidence (e.g., moving messages to junk or deleting them). It further correlates these actions with suspicious user login activity, such as logging in from a new IP address or country within an hour of the rule change, which is a common indicator of a Business Email Compromise (BEC) account takeover.
Detects anomalous authentication behavior consistent with Adversary-in-the-Middle (AiTM) phishing attacks, specifically where an MFA-authenticated session is accessed from multiple, disjoint geographic locations or IP addresses within a short timeframe, indicating the replay of stolen session tokens.
Detects anomalous sign-in behavior where the same Entra ID session or refresh token is reused from two geographically distant IP addresses within a short timeframe. This activity is correlated with a prior suspicious OAuth consent-grant or device-code authentication event on the same account, which is a common indicator of an 'EvilTokens' style session-token replay attack.
Detects a sequence of potentially malicious local command execution (via PowerShell, cmd, or mshta) that mirrors the 'ClickFix' social engineering pattern, followed by an OAuth application consent grant or device-code authorization by the same user within a short timeframe. This behavior is indicative of an adversary attempting to bypass MFA by tricking a user into authorizing a malicious application after establishing local execution on their endpoint.
Detects potential consent phishing attempts by identifying when a user grants high-risk, persistent-access OAuth scopes (such as Mail or Files) to a new third-party application. The rule specifically excludes known first-party Microsoft apps and utilizes a lookback period to avoid alerting on applications that have already been consented to within the tenant, reducing noise from routine enterprise app usage.
Detects potential consent phishing attempts by identifying when a user grants high-risk, persistent-access OAuth scopes (such as Mail or Files) to a new third-party application. The rule specifically excludes known first-party Microsoft apps and utilizes a lookback period to avoid alerting on applications that have already been consented to within the tenant, reducing noise from routine enterprise app usage.
Detects potential consent phishing attempts by identifying when a user grants high-risk, persistent-access OAuth scopes (such as Mail or Files) to a new third-party application. The rule specifically excludes known first-party Microsoft apps and utilizes a lookback period to avoid alerting on applications that have already been consented to within the tenant, reducing noise from routine enterprise app usage.
Detects potential consent phishing attempts by identifying when a user grants high-risk, persistent-access OAuth scopes (such as Mail or Files) to a new third-party application. The rule specifically excludes known first-party Microsoft apps and utilizes a lookback period to avoid alerting on applications that have already been consented to within the tenant, reducing noise from routine enterprise app usage.
Detects a suspicious sequence of events where a user exhibits signs of account compromise—either through impossible travel patterns or the use of OAuth tokens on a new device—followed within one hour by the modification of mailbox settings, such as creating new inbox rules or modifying mailbox permissions, which is a common indicator of persistence and email exfiltration.
This rule performs a retrospective sweep for indicators of compromise (IOCs) associated with the 'CSuite' phishing and RMM (Remote Monitoring and Management) campaign. It monitors network, DNS, proxy, email, URL click, and file creation telemetry over the past 24 hours to identify interactions with known-malicious IP addresses, domains, URLs, and file hashes related to the campaign.
This rule performs a retrospective sweep for indicators of compromise (IOCs) associated with the 'CSuite' phishing and RMM (Remote Monitoring and Management) campaign. It monitors network, DNS, proxy, email, URL click, and file creation telemetry over the past 24 hours to identify interactions with known-malicious IP addresses, domains, URLs, and file hashes related to the campaign.
Detects a suspected device-code phishing attack where a user visits a known malicious lure domain and shortly thereafter completes a successful Microsoft 365 device-code authentication. This rule correlates network events with sign-in logs within a 10-minute window to identify session hijacking attempts that bypass traditional MFA.
Detects a suspected device-code phishing attack where a user visits a known malicious lure domain and shortly thereafter completes a successful Microsoft 365 device-code authentication. This rule correlates network events with sign-in logs within a 10-minute window to identify session hijacking attempts that bypass traditional MFA.
This rule performs a retrospective sweep across Microsoft Defender XDR data sources (DeviceFileEvents, DeviceProcessEvents, DeviceNetworkEvents, and EmailEvents) to identify activity associated with the Star Blizzard (COLDRIVER) campaign. It monitors for specific file hashes, file names, known C2 IP addresses and domains, malicious URL patterns, and known phishing email sender addresses identified in threat intelligence reporting.
This rule performs a retrospective sweep across Microsoft Defender XDR data sources (DeviceFileEvents, DeviceProcessEvents, DeviceNetworkEvents, and EmailEvents) to identify activity associated with the Star Blizzard (COLDRIVER) campaign. It monitors for specific file hashes, file names, known C2 IP addresses and domains, malicious URL patterns, and known phishing email sender addresses identified in threat intelligence reporting.
Detects incoming email messages where the Reply-To header address domain differs from the Sender From address domain. This technique is commonly used in phishing attacks to redirect victim replies to an attacker-controlled mailbox while maintaining a spoofed appearance in the original sender field.
Detects activity associated with the MALFEX npm supply-chain campaign (also known as Overlord/movinlike). This rule performs a sweep for known malicious file hashes, suspicious process command lines, outbound network connections to malicious domains or IPs, and email communications from identified adversary-controlled accounts.
Detects a successful self-service password reset followed shortly by an authentication method change on the same account -- the exact SSPR-then-MFA-reregistration sequence used by Storm-3068 and Storm-2949 for persistence.
Hardened before submission: switched TargetResources[0] positional indexing to mv-expand + type == "User" matching, consistent with the fix already applied to the Agent User group-membership rule.
MITRE ATT&CK: T1098.005 (Account Manipulation: Device Registration), T1556 (Modify Authentication Process)
Hardened before submission: switched TargetResources[0] positional indexing to mv-expand + type == "User" matching, consistent with the fix already applied to the Agent User group-membership rule.
MITRE ATT&CK: T1098.005 (Account Manipulation: Device Registration), T1556 (Modify Authentication Process)
Detects a sequence of activity where a user receives a high volume of inbound emails (potential vishing or social engineering lures) within a short window, followed by the user executing Windows Remote Assistance or Quick Assist tools within the next 6 hours, which is highly indicative of remote access social engineering pre-cursors.
Detects potential help-desk impersonation or social engineering activity involving account credential or MFA method resets, followed shortly by a sign-in from an unknown device or geography. The rule excludes activity tied to established ticketing systems or standard automated password expiration processes.
Page 16 of 179