Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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.
Detects a multi-stage attack pattern involving a non-MFA login to a Citrix portal, followed by lateral movement, and concluding with ransomware deployment behaviors such as shadow copy deletion, recovery disablement, or the dropping of ransom notes associated with ALPHV/BlackCat ransomware.
Detects a multi-stage attack pattern involving a non-MFA login to a Citrix portal, followed by lateral movement, and concluding with ransomware deployment behaviors such as shadow copy deletion, recovery disablement, or the dropping of ransom notes associated with ALPHV/BlackCat ransomware.
Detects a multi-stage attack pattern involving a non-MFA login to a Citrix portal, followed by lateral movement, and concluding with ransomware deployment behaviors such as shadow copy deletion, recovery disablement, or the dropping of ransom notes associated with ALPHV/BlackCat ransomware.
Detects a multi-stage attack pattern involving a non-MFA login to a Citrix portal, followed by lateral movement, and concluding with ransomware deployment behaviors such as shadow copy deletion, recovery disablement, or the dropping of ransom notes associated with ALPHV/BlackCat ransomware.
Detects an authentication pattern characteristic of credential compromise, consisting of a burst of failed authentication attempts against an account within a short window, followed immediately by a successful sign-in from an anomalous or new device/location. This pattern is indicative of brute-force or credential spraying followed by successful validation and potential lateral movement.
Detects a multi-stage attack chain originating with a healthcare-themed phishing email (e.g., billing or patient coordination lures) that leads to a link click, followed by a subsequent suspicious user sign-in from a non-managed/non-compliant device for the same recipient. This correlates email threat data, URL click telemetry, and sign-in logs to identify potential credential harvesting.
Detects a multi-stage attack chain originating with a healthcare-themed phishing email (e.g., billing or patient coordination lures) that leads to a link click, followed by a subsequent suspicious user sign-in from a non-managed/non-compliant device for the same recipient. This correlates email threat data, URL click telemetry, and sign-in logs to identify potential credential harvesting.
Detects potential lateral movement or compromised account use where a single user identity authenticates to multiple distinct cloud or administrative resources within a short time window (15 minutes). The rule uses a threshold of six or more unique applications or resources to identify anomalous patterns typical of reconnaissance or mass resource access often associated with stolen credentials. Administrative, service, and automation-related accounts are excluded to minimize noise.
Detects potential lateral movement or compromised account use where a single user identity authenticates to multiple distinct cloud or administrative resources within a short time window (15 minutes). The rule uses a threshold of six or more unique applications or resources to identify anomalous patterns typical of reconnaissance or mass resource access often associated with stolen credentials. Administrative, service, and automation-related accounts are excluded to minimize noise.
Detects potential lateral movement or compromised account use where a single user identity authenticates to multiple distinct cloud or administrative resources within a short time window (15 minutes). The rule uses a threshold of six or more unique applications or resources to identify anomalous patterns typical of reconnaissance or mass resource access often associated with stolen credentials. Administrative, service, and automation-related accounts are excluded to minimize noise.
Detects potential lateral movement or compromised account use where a single user identity authenticates to multiple distinct cloud or administrative resources within a short time window (15 minutes). The rule uses a threshold of six or more unique applications or resources to identify anomalous patterns typical of reconnaissance or mass resource access often associated with stolen credentials. Administrative, service, and automation-related accounts are excluded to minimize noise.
Flags MFA method deletions performed by an actor other than the account owner, especially when followed by registration of a new authenticator — the signature of a helpdesk agent socially engineered into swapping a victim's MFA factor.
Sequence detection for the three-step chain — credential reset, MFA/authenticator reset, new device registration — completing within 40 minutes for one user, directly modeling the Scattered Spider/UNC3944 speed-to-domain-admin playbook from Mandiant M-Trends 2026.
Flags Temporary Access Pass issuance to accounts holding privileged directory roles, especially when issued by Tier-1 support rather than a PIM-approved workflow — TAP is the modern equivalent of the helpdesk MFA bypass abused in Scattered Spider-style intrusions.
Flags FIDO2/passkey registrations initiated or facilitated by a helpdesk/support identity for another user's account, matching Okta's advisory on threat actor O-UNC-066 ('Pink' leak site) and the ShinyHunters O-UNC-037 campaign that mimicked Microsoft's passkey enrollment flow to register attacker-controlled passkeys.
Flags Global Administrator / Privileged Role Administrator role grants occurring within one hour of a password/MFA reset or TAP issuance on the same account — the terminal step of a completed helpdesk-vishing takeover.
Detects the reuse of a session or refresh token from a geographic location that contradicts recent user activity (impossible travel) without a new interactive MFA challenge. This activity is indicative of Adversary-in-the-Middle (AiTM) phishing attacks, such as those leveraging Evilginx, where session cookies are captured and replayed from attacker infrastructure to bypass multi-factor authentication.
Detects when a user adds a new Multi-Factor Authentication (MFA) method such as a phone number, authenticator app, or FIDO2 key in Entra ID (Azure AD). Attackers often register their own MFA devices to maintain persistent access to a compromised account, particularly following a successful password reset or social engineering event.
Detects a suspicious pattern where an inbound Microsoft Teams call or chat from an untrusted external guest tenant is followed within 30 minutes by a credential, MFA, or account-recovery action on the target user's account in Entra ID. This behavior is indicative of a vishing-over-Teams attack where an adversary impersonates IT support to facilitate unauthorized account recovery or MFA bypass.
Detects successful authentication events by a service principal (e.g., an AI agent or automated application) that have been flagged by Azure AD Identity Protection as having anomalous risk characteristics, such as unfamiliar locations, unexpected travel patterns, or unfamiliar sign-in features.
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