Arnold Chan
@slazTrusted contributorCompletionist
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7,555 detections
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Detects instances where the Parallels dispatcher service (prl_disp_service) is invoked to install an appliance using a local 'file:///tmp/' URL instead of a trusted remote catalog source, which may indicate an attempt to load unauthorized or malicious virtual appliance files.
Detects instances where the Parallels dispatcher service (prl_disp_service) is invoked to install an appliance using a local 'file:///tmp/' URL instead of a trusted remote catalog source, which may indicate an attempt to load unauthorized or malicious virtual appliance files.
This rule monitors network connections, DNS resolutions, and email URLs to detect traffic communicating with a known adversary-in-the-middle (AiTM) phishing infrastructure panel. By correlating security logs, DNS events, and email URL data against this specific indicator of compromise, it identifies potential interaction with phishing sites designed to capture credentials or session tokens.
This rule detects user authentication events that deviate significantly from a 14-day historical baseline of known devices, operating systems, browsers, and network locations (ASN). It flags logins where at least two out of four key metadata signals (DeviceId, OS, Browser, ASN) have changed compared to the user's historical pattern, specifically targeting successful authentications that did not trigger a fresh multi-factor authentication (MFA) challenge, potentially indicating token theft or unauthorized session reuse.
Detects Microsoft 365 sign-in events where a session token is reused without a fresh MFA challenge, originating from known residential proxy service providers. This behavior is indicative of threat actors using stolen session tokens (Session Replay) to bypass MFA protections.
This rule detects suspicious, high-volume file access or download operations in SharePoint and OneDrive. It filters for activities performed by specific user agents commonly associated with automated scripting tools (e.g., python-requests, Microsoft.Graph.Client), which indicates potential automated exfiltration or unauthorized bulk data collection.
This rule detects potential OAuth token theft resulting from device code phishing (e.g., N0va phishkit). It monitors for a successful OAuth device-code authentication followed within 5 minutes by a secondary successful sign-in for the same user from a different IP address, different browser client, or different user agent, which is a common indicator of an adversary-in-the-middle (AiTM) session hijacking attempt.
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.
This rule detects potential credential or token theft attempts from the N0va phishing kit. It monitors for emails lacking attachments that contain specific URL patterns associated with verification or session initialization, coupled with social engineering tactics such as spoofing legitimate service display names or subjects (e.g., Microsoft Teams, DocuSign, etc.) while originating from non-legitimate domains.
Detects potential N0va-style phishing or token-exchange abuse where a user completes a device-code authentication flow, followed immediately by an access token usage from a different IP address or device. This sequence indicates an adversary has captured the resulting token/session and is attempting to bypass multi-factor authentication (MFA) to gain unauthorized access to cloud resources.
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