Arnold Chan
@slazTrusted contributorCompletionist
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Detects when a Google Cloud Config Connector (KCC) Workload Identity-bound service account is granted overly permissive organization-level roles (roles/owner or roles/resourcemanager.organizationAdmin). This configuration deviates from the security best practice of using namespaced mode with per-namespace scoped identities, potentially allowing the KCC controller to gain broader access than required, which is a known attack vector for privilege escalation.
Detects a potential privilege escalation attempt where a namespace-scoped user creates a Config Connector (KCC) IAMPolicyMember resource, which is immediately followed by a high-privilege organization or folder-level SetIamPolicy operation executed by the KCC system service account, suggesting the KCC controller was manipulated to perform actions beyond the namespace's intended authorization.
Detects successful device code authentication flows involving applications that are not part of a known list of standard Microsoft and Azure client applications. Device code flows are frequently abused in phishing attacks to bypass traditional credential-based authentication.
Detects successful device code authentication flows involving applications that are not part of a known list of standard Microsoft and Azure client applications. Device code flows are frequently abused in phishing attacks to bypass traditional credential-based authentication.
This rule detects network traffic indicative of N0va Phishkit verification or session initialization. It looks for specific GET request URI parameters (/api/verification/init?session=, flow=, prompt_profile=) that align with the initial handshake phase of this phishing kit, which is often used for credential and session cookie theft.
This rule detects network traffic indicative of N0va Phishkit verification or session initialization. It looks for specific GET request URI parameters (/api/verification/init?session=, flow=, prompt_profile=) that align with the initial handshake phase of this phishing kit, which is often used for credential and session cookie theft.
Detects anomalous non-interactive sign-ins that bypass multi-factor authentication (MFA) requirements from a geographical location not previously seen in the user's historical sign-in baseline. This pattern is indicative of attackers using stolen OAuth access or refresh tokens to maintain persistence and bypass standard authentication controls.
Detects anomalous non-interactive sign-ins that bypass multi-factor authentication (MFA) requirements from a geographical location not previously seen in the user's historical sign-in baseline. This pattern is indicative of attackers using stolen OAuth access or refresh tokens to maintain persistence and bypass standard authentication controls.
Detects anomalous activity associated with OAuth 2.0 device code phishing campaigns. The rule identifies accounts showing frequent device code authentication attempts, including successful logins from potentially unmanaged or unrecognized devices, which is consistent with the behavior of phishing kits targeting OAuth device grant flows.
Detects anomalous activity associated with OAuth 2.0 device code phishing campaigns. The rule identifies accounts showing frequent device code authentication attempts, including successful logins from potentially unmanaged or unrecognized devices, which is consistent with the behavior of phishing kits targeting OAuth device grant flows.
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