Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
3,141 detections
Filters
Last updated
All Time
Detection languages
2,292
246
196
179
104
Contributors
738
670
569
284
148
Categories
1,163
747
693
623
440
Platforms
39,934
7,265
6,535
3,865
3,645
3,141
Products / Services
2,849
742
268
187
182
MITRE Techniques
871
856
778
768
738
CVEs
13
5
2
1
1
IDS Classtypes
3
2
2
2
1
IDS Protocols
9
1
1
Detects high-volume deletion or recycling of files within OneDrive or SharePoint for a specific user, which may indicate malicious activity such as data destruction, ransomware, or unauthorized data exfiltration staging.
Detects high-volume deletion or recycling of files within OneDrive or SharePoint for a specific user, which may indicate malicious activity such as data destruction, ransomware, or unauthorized data exfiltration staging.
Detects bulk file deletion activities (three or more files deleted or moved to the recycle bin) within SharePoint or OneDrive by a specific user within a 30-minute window, which may indicate malicious activity or data destruction.
Detects bulk file deletion activities (three or more files deleted or moved to the recycle bin) within SharePoint or OneDrive by a specific user within a 30-minute window, which may indicate malicious activity or data destruction.
Detects bulk file deletion activities (three or more files deleted or moved to the recycle bin) within SharePoint or OneDrive by a specific user within a 30-minute window, which may indicate malicious activity or data destruction.
This rule detects OAuth authorization requests (targeting Microsoft or Google identity providers) that use 'prompt=none' (silent authentication) and redirect the user to an unexpected or untrusted domain. This pattern is commonly used in OAuth consent phishing or token theft attacks, where an attacker attempts to silently acquire an authorization code by redirecting it to a malicious application server instead of the legitimate service provider's domain.
This rule identifies potential phishing emails that impersonate OneDrive sharing notifications. It correlates email messages containing keywords typically associated with document sharing (e.g., 'OneDrive', 'shared', 'file') with subsequent user URL clicks. Crucially, the rule filters for clicks to domains that are not explicitly related to legitimate OneDrive, SharePoint, or 1drv.ms hosting, indicating a potential attempt to lure users to a malicious third-party site under the guise of file sharing.
This rule detects high-frequency account and email address enumeration attempts. It monitors syslog data for SMTP commands such as VRFY, EXPN, or RCPT TO, and analyzes Microsoft Entra ID (SigninLogs) for authentication failures specifically associated with error code 50034 (user not found). Both behaviors are indicative of an adversary attempting to validate user identities within an environment, often as a precursor to targeted phishing or brute-force attacks.
This rule detects potential phishing activity by correlating email delivery events and URL click events against a set of known malicious domains and suspicious URL paths. It identifies when a user receives an email containing a suspicious link or interacts with such a link, providing visibility into potential credential harvesting or malware delivery attempts.
Detects anomalous data access or collection activity across multiple M365 workloads (SharePoint, OneDrive, Exchange). The rule identifies users exhibiting high volumes of file or mail access across at least two distinct workloads within a one-hour window, which may indicate account compromise, bulk data exfiltration, or unauthorized persistence via mailbox rules.
Detects anomalous data access or collection activity across multiple M365 workloads (SharePoint, OneDrive, Exchange). The rule identifies users exhibiting high volumes of file or mail access across at least two distinct workloads within a one-hour window, which may indicate account compromise, bulk data exfiltration, or unauthorized persistence via mailbox rules.
Detects Microsoft 365 sign-in events where a session token is reused without a fresh MFA challenge, originating from known residential proxy service providers. This behavior is indicative of threat actors using stolen session tokens (Session Replay) to bypass MFA protections.
This rule detects suspicious, high-volume file access or download operations in SharePoint and OneDrive. It filters for activities performed by specific user agents commonly associated with automated scripting tools (e.g., python-requests, Microsoft.Graph.Client), which indicates potential automated exfiltration or unauthorized bulk data collection.
This rule monitors Azure AD Sign-in logs to identify 'impossible travel' scenarios, where a user authenticates successfully from two geographically distant locations within a time window (1 hour) that would require travel speeds exceeding a plausible threshold. This behavior is a common indicator of credential compromise or session token replay attacks.
This rule monitors for inbound email activity containing sender domains or embedded URL domains known to be associated with malicious phishing campaigns. It flags emails matching a predefined list of suspicious sender domains or URLs that resolve to known malicious infrastructure.
This rule monitors for a multi-stage attack pattern involving two potential indicators: first, it identifies phishing emails containing a 'Google Docs' link combined with an attachment named 'API Logic Flaw'. Second, it detects browser activity involving the paste of JavaScript code or suspicious browser clipboard activity, which may indicate an attacker attempting to execute malicious scripts directly in the user's browser context.
Detects high-volume phishing emails that utilize subjects claiming extreme discounts (e.g., 65% off) and contain links to domains ending in the .shop top-level domain (TLD). The rule correlates email subjects with URL domains and alerts when multiple recipients are targeted by the same sender/domain combination.
Detects anomalous volumes of incoming emails to support aliases that contain keywords related to customer service complaints and include URLs pointing to suspicious '.shop' domains, characteristic of 'DoppelCart' or similar fake-shop impersonation phishing campaigns.
Detects anomalous volumes of incoming emails to support aliases that contain keywords related to customer service complaints and include URLs pointing to suspicious '.shop' domains, characteristic of 'DoppelCart' or similar fake-shop impersonation phishing campaigns.
This rule monitors DNS and email traffic for domains ending in .shop that fuzzy-match against a predefined watchlist of corporate brand names. This behavior is commonly associated with phishing campaigns, brand impersonation, or typosquatting, where attackers use similar-looking domains to lure users into revealing sensitive information or credentials.
This rule monitors DNS and email traffic for domains ending in .shop that fuzzy-match against a predefined watchlist of corporate brand names. This behavior is commonly associated with phishing campaigns, brand impersonation, or typosquatting, where attackers use similar-looking domains to lure users into revealing sensitive information or credentials.
Page 64 of 150