Ibrahim Saud
@tektrixIndiaCompletionist
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Detects modifications or deletions of Azure AD Conditional Access policies that weaken security, such as disabling policies, removing MFA requirements, or adding user/group/application exclusions. This behavior can be indicative of an attacker attempting to bypass authentication controls.
This rule detects the creation of new, potentially long-lived service account keys for GCP service accounts that possess highly privileged roles, such as Project Owner, Project Editor, or broad custom roles. The creation of such keys for privileged accounts can be a technique used by adversaries to establish persistent, stealthy access within a GCP environment.
Detects instances where an IAM user or role attempts to assume a role in a different AWS account (Cross-Account) without providing a valid ExternalID. This often indicates unauthorized attempts to access or abuse cross-account trust relationships, which is a common technique for lateral movement or privilege escalation in cloud environments.
This rule detects a correlation between a successful non-interactive authentication event (e.g., token-based sign-in) and a subsequent device registration event performed by the same user identity within a short time window. This sequence is a known pattern for attackers seeking to register an adversary-controlled device against a compromised account to establish durable persistence and potentially bypass conditional access policies (PRT persistence).
Detects successful authentication attempts using legacy (basic) protocols that do not enforce modern Conditional Access policies (e.g., MFA, device compliance). The rule specifically flags these events if the originating IP address or geographic location is not observed in historical sign-in activity for the specific user, which may indicate account compromise via credential theft.
Detects impossible travel sign-in events where a user authenticates from geographically distant locations within a short time window. The rule specifically flags the second, suspicious event as having occurred via a non-interactive session or single-factor authentication, suggesting the use of a replayed or stale session token to bypass MFA.
Detects successful sign-in events in Entra ID where MFA is marked as satisfied, but no interactive MFA challenge (e.g., Push, FIDO2, SMS) was recorded as completed in the authentication details. This behavior, when correlated with a new IP, device, or user-agent relative to a 30-day baseline, is highly indicative of session token replay or AitM (Adversary-in-the-Middle) attacks attempting to bypass MFA requirements.
This rule detects a multi-stage attack chain where a device shows signs of credential theft (accessing browser credential stores or cookies) followed closely by a successful cloud authentication from that same user using a device identifier not previously observed in the last 30 days.
Detects a user account adding a new client secret or certificate to an Azure AD application/service principal, followed by a sign-in event from that same service principal originating from an IP address not observed in the prior 14 days. This behavior is indicative of potential persistent access creation by an adversary using newly generated credentials.
Detects anomalous reuse of a single session identifier across geographically distinct locations and/or multiple federated SaaS applications within a short time frame. The detection specifically filters for non-interactive sign-in events, which is characteristic of session hijacking and token replay rather than standard user activity.
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