Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
240 detections
Filters
Last updated
All Time
Detection languages
170
28
17
13
5
Contributors
45
39
35
22
15
Categories
20,443
11,831
5,875
5,151
4,864
Platforms
203
33
24
17
15
Products / Services
207
48
21
17
10
MITRE Techniques
102
81
66
55
53
IDS Classtypes
3
1
1
IDS Protocols
3
1
1
This rule detects network and email activity associated with a list of known suspicious or 'ghost' domains. It monitors email sender and recipient addresses, email URL links, and DNS query logs for matches against the predefined domain list, identifying potential spearphishing or command-and-control communication.
This rule detects high-volume email bursts sent through third-party bulk email providers where the sender domain exhibits SPF, DKIM, or DMARC alignment failures. This behavior is indicative of mass phishing campaigns, such as those associated with 'Operation DoppelBrand', attempting to bypass email authentication defenses using compromised or unauthorized infrastructure.
Detects incoming or outgoing emails with subject lines containing keywords associated with extortion, data leaks, or data breaches, specifically when accompanied by email attachments.
No description available.
No description available.
This rule detects high-volume email bursts sent through third-party bulk email providers where the sender domain exhibits SPF, DKIM, or DMARC alignment failures. This behavior is indicative of mass phishing campaigns, such as those associated with 'Operation DoppelBrand', attempting to bypass email authentication defenses using compromised or unauthorized infrastructure.
This rule detects high-volume email bursts sent through third-party bulk email providers where the sender domain exhibits SPF, DKIM, or DMARC alignment failures. This behavior is indicative of mass phishing campaigns, such as those associated with 'Operation DoppelBrand', attempting to bypass email authentication defenses using compromised or unauthorized infrastructure.
Detects a high volume of outbound emails (more than 20 within a one-hour window) from a single sender containing the subject line 'Payment Transaction Failed Reminder', which is a common pattern for phishing or social engineering campaigns.
Detects a high volume of outbound emails (more than 20 within a one-hour window) from a single sender containing the subject line 'Payment Transaction Failed Reminder', which is a common pattern for phishing or social engineering campaigns.
Detects a high volume of outbound emails (more than 20 within a one-hour window) from a single sender containing the subject line 'Payment Transaction Failed Reminder', which is a common pattern for phishing or social engineering campaigns.
Detects a high volume of outbound emails (more than 20 within a one-hour window) from a single sender containing the subject line 'Payment Transaction Failed Reminder', which is a common pattern for phishing or social engineering campaigns.
This rule monitors outbound email traffic per sender and flags accounts exceeding a specified hourly threshold. A sudden spike in outbound emails from a single user account may indicate a compromised mailbox being used for spam, phishing, or mass data exfiltration.
Aggregates identity, endpoint, cloud application, and messaging telemetry to build a consolidated profile of the devices, clients, applications, and user agents associated with a specific user account.
The query combines Microsoft Entra sign-in data, endpoint logon activity, cloud application events, and email telemetry to provide a high-level overview of a user's activity footprint across the environment.
This query is useful for incident response, account compromise investigations, insider threat investigations, and validating whether a user is accessing services from expected devices and client applications.
The query combines Microsoft Entra sign-in data, endpoint logon activity, cloud application events, and email telemetry to provide a high-level overview of a user's activity footprint across the environment.
This query is useful for incident response, account compromise investigations, insider threat investigations, and validating whether a user is accessing services from expected devices and client applications.
This rule detects email communications where the subject line contains numerical patterns matching standard credit card number formats (13-16 digits, or spaced/hyphenated variations). The purpose is to identify potential unauthorized transmission of sensitive financial data (PII/payment information) via email.
This rule identifies potential account compromise or session hijacking by correlating anomalous outbound email patterns with risky sign-in events. It monitors for users who send outbound emails to a threshold of previously unseen external recipients within a short window after authenticating under suspicious conditions, such as high-risk sign-in flags, atypical locations, or unfamiliar applications. This pattern is indicative of attackers using stolen session tokens or compromised credentials to perform mass outbound phishing, spamming, or data exfiltration from an internal mailbox.
Detects the presence of known ransomware extortion note file names on endpoints or communication attempts with associated extortion contact email addresses in email logs.
This rule detects potential mass emailing or spam activity by identifying instances where a single email account sends more than 100 emails within a one-minute window. This behavior is often characteristic of compromised accounts performing phishing campaigns or bulk unauthorized communication.
Detects potentially malicious activity within Microsoft 365 involving the creation of inbox rules for message forwarding/redirection, modifications to mailbox forwarding configurations, or mass outbound email sending. These actions are common indicators of persistent access, email exfiltration, or automated reconnaissance after account compromise.
This rule detects when a user creates two or more email forwarding rules within a one-hour period in Exchange Online. This behavior can indicate an adversary setting up persistence or exfiltration mechanisms for email.
Detects the creation or modification of inbox rules that forward or redirect emails to another recipient. This can be an indicator of an adversary attempting to exfiltrate emails or maintain persistence.
This rule monitors for potential lateral phishing activity within an organization by identifying internal accounts sending high volumes of emails, correlating this with MailItemsAccessed audit events from unexpected IPs, and detecting OAuth token abuse patterns (such as granting consent or adding credentials) within the Exchange Online environment.
Page 4 of 12






