Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects potential multi-factor authentication (MFA) fatigue attacks in Azure AD by identifying a high number of push notification MFA challenges for a single user from a specific IP address within a short time frame. Specifically, it looks for 15 or more push notification MFA challenges within a 30-minute window.
This rule detects a potential MFA fatigue attack by identifying users who experienced a high volume of denied MFA requests (5 or more) followed by at least one successful authentication within a 15-minute window across Okta and Azure Active Directory platforms.
Detects high frequency of denied Multi-Factor Authentication (MFA) requests for a specific user and IP address, indicating potential 'MFA fatigue' or 'MFA bombing' attacks where an adversary attempts to force a user to approve a push notification or code verification.
Detects instances where a user successfully authenticates from a mobile device (Android or iPhone) that exhibits a geographic mismatch (geo_country vs registered_country), and subsequently performs a sensitive credential or MFA-related action (enrollment or reset) from a different device within one hour. This pattern is indicative of a potential session hijacking or credential compromise where an attacker attempts to establish persistence by enrolling their own MFA device.
This rule detects a potential MFA fatigue attack by identifying users who experienced a high volume of denied MFA requests (5 or more) followed by at least one successful authentication within a 15-minute window across Okta and Azure Active Directory platforms.
Detects high frequency of denied Multi-Factor Authentication (MFA) requests for a specific user and IP address, indicating potential 'MFA fatigue' or 'MFA bombing' attacks where an adversary attempts to force a user to approve a push notification or code verification.
Detects a sequence of events within a 30-minute window for a single user, specifically capturing MFA configuration changes (reset/enrollment), authentication, and device registration, occurring outside of typical business hours (20:00 - 06:00). This behavioral pattern is often indicative of an adversary establishing persistence or account takeover after gaining access to a valid account.
Detects MFA push bombing attacks by identifying a high volume of MFA challenge failures (errorCode 500121) associated with a single user account within a short time window. This activity often indicates an attempt to overwhelm or fatigue a user into inadvertently approving an MFA request.
Detects high-volume failed authentication attempts targeting a specific user account from a source IP address, indicative of 'MFA fatigue' or 'push bombing' attacks. This rule monitors endpoint-visible logon failure events as captured by EDR telemetry to identify potential attempts to circumvent multi-factor authentication by spamming the user with requests.
Detects MFA factor activation, device enrollment, and password resets originating from residential/commercial proxy infrastructure, specifically targeting behaviors associated with threat groups like BlackFile and Cordial Spider. The rule identifies these activities by filtering Okta SSO raw logs for specific event types related to MFA and device management, and then correlating them with known proxy ASN organizations or Okta's internal proxy flags.
Detects MFA fatigue attacks via repeated authentication push requests
Detects rapid succession of MFA authentication requests originating from multiple distinct countries within a 10-minute window, a common pattern indicating an MFA fatigue (push bombing) attack targeting a specific user.
This rule detects network events where the 'AdditionalFields' contain keywords commonly associated with Multi-Factor Authentication (MFA) such as 'otp', 'verify', '2fa', or 'mfa', and the 'RemoteIP' is a valid IPv4 address. This could indicate attempts to interact with, or potentially bypass, MFA mechanisms.
This rule detects a burst of Okta Multi-Factor Authentication (MFA) push prompts to a single user within a short time window, indicating a potential MFA bombing or fatigue attack. It specifically looks for scenarios where at least 5 push notifications are sent, and at least one is approved, suggesting the user might have caved under pressure. The rule also enriches the data with client IP, geographical context, and proxy information to aid investigation.
Detects MFA push bombing attacks by identifying a high volume of MFA challenge failures (errorCode 500121) associated with a single user account within a short time window. This activity often indicates an attempt to overwhelm or fatigue a user into inadvertently approving an MFA request.
Detects anomalous authentication behavior consistent with an Adversary-in-the-Middle (AiTM) attack, where a single user account triggers multiple MFA challenge requests from distinct source IP addresses within a two-minute window. This behavior is indicative of an adversary proxying authentication requests in real-time between the user and a legitimate service.
Detects MFA fatigue attacks where a user receives more than 10 MFA push denials within a 10-minute window, followed immediately by a successful authentication from a different IP address. This behavior is indicative of an adversary bombarding a user with push notifications until they are approved, followed by account takeover.
Detects a sequence of events within a 30-minute window for a single user, specifically capturing MFA configuration changes (reset/enrollment), authentication, and device registration, occurring outside of typical business hours (20:00 - 06:00). This behavioral pattern is often indicative of an adversary establishing persistence or account takeover after gaining access to a valid account.
Detects high-volume failed authentication attempts targeting a specific user account from a source IP address, indicative of 'MFA fatigue' or 'push bombing' attacks. This rule monitors endpoint-visible logon failure events as captured by EDR telemetry to identify potential attempts to circumvent multi-factor authentication by spamming the user with requests.
This rule detects attempts to register a new Authenticator app or phone number for multi-factor authentication (MFA) from an IP address that is not typically associated with the user's sign-in behavior. This could indicate a compromised account where an attacker is attempting to establish a new MFA method to maintain access.
Detects MFA device registration occurring during a suspicious session heavily focused on HR portal access. This rule correlates MFA registration events with access to HR applications like Workday or ADP within a 10-minute window, indicating potential account takeover or unauthorized access attempts.
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