Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects anomalous authentication patterns indicative of session token replay attacks. The rule identifies instances where a user successfully performs an MFA-authenticated, interactive sign-in, followed shortly (within 5-60 minutes) by a single-factor sign-in for the same user. The suspicious activity is characterized by a shift to a different IP/ASN, an unmanaged device (non-trusted), and a change in browser or OS identifiers, all while the user's geolocation (city/country) remains consistent. This behavioral pattern is highly consistent with the use of residential proxy infrastructure to replay stolen session tokens, effectively bypassing MFA.
Detects anomalous authentication patterns indicative of session token replay attacks. The rule identifies instances where a user successfully performs an MFA-authenticated, interactive sign-in, followed shortly (within 5-60 minutes) by a single-factor sign-in for the same user. The suspicious activity is characterized by a shift to a different IP/ASN, an unmanaged device (non-trusted), and a change in browser or OS identifiers, all while the user's geolocation (city/country) remains consistent. This behavioral pattern is highly consistent with the use of residential proxy infrastructure to replay stolen session tokens, effectively bypassing MFA.
Detects anomalous authentication patterns indicative of session token replay attacks. The rule identifies instances where a user successfully performs an MFA-authenticated, interactive sign-in, followed shortly (within 5-60 minutes) by a single-factor sign-in for the same user. The suspicious activity is characterized by a shift to a different IP/ASN, an unmanaged device (non-trusted), and a change in browser or OS identifiers, all while the user's geolocation (city/country) remains consistent. This behavioral pattern is highly consistent with the use of residential proxy infrastructure to replay stolen session tokens, effectively bypassing MFA.
Detects anomalous sign-in behavior where a device code authentication flow is initiated from one location, but the resulting session is replayed from a different IP address in a different country within a one-hour window. This behavior is indicative of an adversary capturing an authentication token via a device code phishing or relay attack and attempting to use it from their own infrastructure to bypass conditional access policies and MFA.
Detects a suspicious sequence of interactive sign-ins to Microsoft management and profile-related applications from unmanaged devices occurring within a tight 15-minute window. This behavior is indicative of post-compromise activity, potentially associated with activity clusters such as UNC6671, where an attacker interacts with account settings shortly after compromising a session.
Detects a suspicious sequence of interactive sign-ins to Microsoft management and profile-related applications from unmanaged devices occurring within a tight 15-minute window. This behavior is indicative of post-compromise activity, potentially associated with activity clusters such as UNC6671, where an attacker interacts with account settings shortly after compromising a session.
Detects a suspicious sequence of interactive sign-ins to Microsoft management and profile-related applications from unmanaged devices occurring within a tight 15-minute window. This behavior is indicative of post-compromise activity, potentially associated with activity clusters such as UNC6671, where an attacker interacts with account settings shortly after compromising a session.
Detects anomalous, high-volume search query activity across multiple SharePoint sites or OneDrive locations, potentially indicating an adversary performing broad data discovery or enumeration across an organization's cloud document repositories.
Detects anomalous, high-volume search query activity across multiple SharePoint sites or OneDrive locations, potentially indicating an adversary performing broad data discovery or enumeration across an organization's cloud document repositories.
Detects anomalous, high-volume search query activity across multiple SharePoint sites or OneDrive locations, potentially indicating an adversary performing broad data discovery or enumeration across an organization's cloud document repositories.
Detects anomalous, high-volume search query activity across multiple SharePoint sites or OneDrive locations, potentially indicating an adversary performing broad data discovery or enumeration across an organization's cloud document repositories.
Detects anomalous access to Microsoft 365 services (OneDrive, SharePoint, Mail) where the user activity is characterized by a high volume of operations (more than 30) across a diverse set of objects (more than 15) within a one-hour window. The detection focuses on activity originating from specific common automation/scripting User-Agents (Microsoft Graph, Python httpx/requests) that deviate from typical, focused service account behavior.
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.
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.
Detects instances where a single account adds a large volume of users (over 50) to a Microsoft Teams chat within a one-hour window. This behavior could indicate automated activity, potential bulk addition by an attacker to facilitate phishing or spam, or unauthorized group modifications.
Detects instances where the Grafana MCP (Model Context Protocol) server's service account identity executes administrative tools (such as 'grafana_api_request') within a session that lacks a verified, prior authentication event (bearer token). This pattern suggests an adversary may be spoofing or hijacking a privileged service account session to perform unauthorized administrative actions.
Detects potential Server-Side Request Forgery (SSRF) attacks targeting Grafana instances. The rule identifies suspicious 'grafana_api_request' calls that occur shortly after an unauthenticated discovery call ('tools/call') within the same session, where the target URL in the request header is not included in a defined allowlist of known internal Grafana hosts.
KQL Query from file: grafana-mcp-grafanaapirequest-call-without-prior-bearer-auth.kql
Detects instances where the Grafana MCP (Model Context Protocol) server's service account identity executes administrative tools (such as 'grafana_api_request') within a session that lacks a verified, prior authentication event (bearer token). This pattern suggests an adversary may be spoofing or hijacking a privileged service account session to perform unauthorized administrative actions.
Detects anomalous actions within the Coder registry, such as template creation, version updates, or dry-run/workspace builds with module caching disabled, that occurred during a known registry compromise window on August 31, 2026.
Detects non-interactive sign-in events involving OIDC or external authentication tokens shortly after a known Coder registry compromise. The rule flags high-risk or at-risk single-factor authentication sessions, which may indicate the replay of stolen tokens harvested during the compromise window.
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