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 potentially malicious OAuth device code sign-ins by identifying sign-in events that exhibit anomalous characteristics, such as atypical geographic locations, rare client-application combinations, unmanaged/noncompliant device status, or elevated risk signals associated with the account. This detection helps identify account compromise or malicious OAuth consent activity often associated with 'EvilTokens' or device-code phishing attacks.
Detects potentially malicious OAuth device code sign-ins by identifying sign-in events that exhibit anomalous characteristics, such as atypical geographic locations, rare client-application combinations, unmanaged/noncompliant device status, or elevated risk signals associated with the account. This detection helps identify account compromise or malicious OAuth consent activity often associated with 'EvilTokens' or device-code phishing attacks.
Detects anomalous outbound email activity from an account that recently performed an OAuth device code sign-in characterized by elevated risk levels. The rule identifies potential token abuse by looking for a high volume of emails with either a significant percentage of external recipients or patterns indicative of bulk mailing, common in phishing campaigns that leverage compromised identities (e.g., EvilTokens).
Detects an administrator account rapidly granting mailbox permissions (Add-MailboxPermission, Add-RecipientPermission, Set-MailboxFolderPermission) to a large number of objects within a short timeframe (15 minutes). The rule correlates this activity with a prior 'risky' sign-in or a sign-in using device-code flow, indicative of potential EvilToken or similar adversary-in-the-middle proxy-based session hijacking.
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.
This rule hunts for indicators associated with the TrustSink technique, which involves using rogue External Authentication Methods (EAM) or malicious OIDC providers to bypass authentication or maintain persistence within a cloud environment. It monitors Azure AD sign-in and audit logs, alongside DNS and network events, for references to known malicious domains and URLs used for EAM-based attacks.
This rule hunts for indicators associated with the TrustSink technique, which involves using rogue External Authentication Methods (EAM) or malicious OIDC providers to bypass authentication or maintain persistence within a cloud environment. It monitors Azure AD sign-in and audit logs, alongside DNS and network events, for references to known malicious domains and URLs used for EAM-based attacks.
Detects inbound email messages containing keywords and phrases consistent with extortion attempts, specifically referencing stolen data, unauthorized access, and demands for cryptocurrency payment.
This rule monitors for indicators of compromise (IOCs) associated with the ShinyHunters threat actor, including specific malicious domains, IP addresses, and artifacts found in command lines or event data. It aggregates telemetry from network events, Entra ID sign-in logs, cloud application activity, email logs, process execution, and general device events to detect interaction with known malicious infrastructure or execution of threat-actor specific artifacts.
Detects patterns associated with the TeamFiltration backdoor module, specifically unauthorized OneDrive/SharePoint file modifications occurring shortly after an authentication from a previously unseen device/IP. The rule flags file changes (modifications, deletions, or renames) involving potential executable or script extensions, or those performed by the OneDrive SyncEngine app from a new source.
Detects patterns associated with the TeamFiltration backdoor module, specifically unauthorized OneDrive/SharePoint file modifications occurring shortly after an authentication from a previously unseen device/IP. The rule flags file changes (modifications, deletions, or renames) involving potential executable or script extensions, or those performed by the OneDrive SyncEngine app from a new source.
Detects patterns associated with the TeamFiltration backdoor module, specifically unauthorized OneDrive/SharePoint file modifications occurring shortly after an authentication from a previously unseen device/IP. The rule flags file changes (modifications, deletions, or renames) involving potential executable or script extensions, or those performed by the OneDrive SyncEngine app from a new source.
Detects a suspected account compromise sequence where an account first authenticates to a Microsoft Teams application from infrastructure associated with TeamFiltration (e.g., specific AWS ranges), followed by a rapid (within 2 minutes) authentication to a VPN or SAML service provider from a different IP address, indicative of an account pivot.
Detects a suspected account compromise sequence where an account first authenticates to a Microsoft Teams application from infrastructure associated with TeamFiltration (e.g., specific AWS ranges), followed by a rapid (within 2 minutes) authentication to a VPN or SAML service provider from a different IP address, indicative of an account pivot.
This rule detects instances where a user grants high-risk OAuth application permissions (e.g., Mail or Files access) within 30 minutes of a risky or MFA-challenged sign-in event. This pattern is indicative of an Adversary-in-the-Middle (AiTM) attack where an attacker successfully steals a session and immediately establishes persistent access to the victim's resources via OAuth consent.
This rule detects a correlation between high-risk or anomaly-flagged sign-ins and subsequent changes to B2B guest invitation or tenant collaboration policies by the same user account within a 30-minute window. This behavior is indicative of an adversary who has successfully hijacked a session (e.g., via AiTM or token replay) and is attempting to establish persistence or pivot by inviting external accounts or modifying B2B security settings.
This rule detects mass-distributed email phishing campaigns that impersonate Google branding. It identifies emails using Google-related sender display names or subjects that originate from non-Google domains and contain links to external, non-Google domains. The detection focuses on identifying suspicious patterns across multiple recipients rather than individual email signatures.
This rule monitors for high-frequency download or access events of files associated with AI development, such as model weights (.pt, .ckpt, .safetensors, .h5, .onnx, .pkl, .pb), checkpoints, and research datasets from cloud storage. It triggers when an account accesses or downloads 20 or more unique AI-related files within a 60-minute window, which is indicative of unauthorized data exfiltration of intellectual property.
Detects instances where end users grant high-risk delegated permissions (e.g., Mail.Read, Files.ReadWrite.All) to applications via OAuth consent flows outside of standard administrator approval processes. This behavior is indicative of device-code phishing or consent phishing campaigns designed to gain unauthorized access to user data.
Detects MFA method resets, security info updates, or new authentication device registrations targeting privileged or administrator accounts in Azure AD/Entra ID audit logs. This activity is often indicative of social engineering campaigns, including AI-driven voice or video deepfake impersonation of employees contacting helpdesk support to gain unauthorized account access.
Detects a sequence of suspicious identity activities indicative of a post-account-takeover pivot. The rule identifies a user profile engaging in corporate VPN SAML SSO probing, triggering a MFA enrollment interrupt in Azure, and subsequently accessing multiple Microsoft 365 applications (Azure Portal, OfficeHome, SharePoint) within a 30-minute window.
Page 41 of 179