Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects instances where a user successfully authenticates from geographically distant locations within a short timeframe (impossible travel) followed by sensitive privileged operations within a 4-hour window.
This rule detects potential lateral movement by identifying users who, within a short timeframe (90 seconds) of their first recorded network logon (EventID 4624, Logon Type 3), perform suspicious follow-up activities such as explicit credentials usage (4648), network share access (5140), or remote service installation (7045).
This rule detects successful authentication attempts directed at network devices from sources not explicitly marked as authorized management systems. It identifies users or systems that are not recognized service accounts authenticating against network infrastructure and flags activity that involves multiple unique destination targets as high risk.
This rule detects potential lateral movement by identifying users who, within a short timeframe (90 seconds) of their first recorded network logon (EventID 4624, Logon Type 3), perform suspicious follow-up activities such as explicit credentials usage (4648), network share access (5140), or remote service installation (7045).
Detects suspicious repository content updates, such as modifications to package files, workflow configurations, or README files, and activities involving automated user IDs like 'dependabot' or 'github-actions' that may indicate compromised CI/CD credentials or unauthorized repository defacement.
Detects the execution of 'runas.exe' with the '/savecred' or '/netonly' parameters. The '/savecred' parameter allows the use of credentials previously stored in the credential manager, while '/netonly' allows the use of credentials for remote network resources without authenticating locally. Both flags can be abused by adversaries to persist or move laterally with compromised or cached credentials while evading local authentication monitoring. The rule excludes common system-signed processes originating from the Windows System32 directory.
Detects successful network or explicit credential logons (4624/4648) on Windows workstations where the username or workstation name contains keywords associated with Tenable Nessus scanning activity, indicating an authenticated vulnerability scan.
Detects user sign-in activity originating from more than two distinct countries within the same hour, which is often indicative of impossible travel or compromised credentials.
Detects user sign-in activity originating from more than two distinct countries within the same hour, which is often indicative of impossible travel or compromised credentials.
Detects sign-in events using the device code authentication flow (OAuth 2.0 device authorization grant) where the originating IP address is external to the organization's private network. This flow is often abused by attackers to bypass traditional MFA or interact with headless environments via common HTTP client libraries like Python requests, Go-http, or Axios.
Detects the creation of user accounts or modifications to sensitive groups (Event IDs 4720, 4728, 4732, 4756) where the account name matches naming conventions typically associated with backup service accounts or elevated administrative roles (e.g., prefix 'backup_', 'bkp_' or suffix '_da', '_ea'). This activity can indicate an attacker attempting to establish persistence or escalate privileges via compromised or newly created accounts.
Detects attempts to clone or snapshot sensitive virtual machines (such as Domain Controllers, PKI, Vault, ADFS, or SSO servers) in a VMware environment. The rule alerts on these activities when performed by non-administrator accounts outside of established maintenance windows, suggesting potential unauthorized data staging or credential extraction.
Detects the specific ShinyHunters lateral movement pattern involving automated SSH credential spraying using 'sshpass' or rapid SSH connections to multiple hosts with PeopleSoft admin accounts, often after reading '/etc/hosts'. The rule identifies suspicious SSH activity by looking for 'sshpass' execution or multiple 'ssh' commands with specific PeopleSoft-related usernames, potentially preceded by commands to read '/etc/hosts'.
Detects workstations establishing multiple connections to non-standard, internal management ports (SSH, Telnet, SNMP). This behavior is often associated with lateral movement or unauthorized network scanning using tools that leverage management protocols.
This rule detects anomalous or risky sign-in events for user accounts that have recently configured an active out-of-office (OOF) auto-reply. An attacker may leverage a user's known absence to gain access to their email or other corporate resources using compromised credentials, as the user is less likely to notice suspicious account activity while away.
This rule detects anomalous or risky sign-in events for user accounts that have recently configured an active out-of-office (OOF) auto-reply. An attacker may leverage a user's known absence to gain access to their email or other corporate resources using compromised credentials, as the user is less likely to notice suspicious account activity while away.
This rule detects anomalous or risky sign-in events for user accounts that have recently configured an active out-of-office (OOF) auto-reply. An attacker may leverage a user's known absence to gain access to their email or other corporate resources using compromised credentials, as the user is less likely to notice suspicious account activity while away.
Detects unauthorized or suspicious AWS CLI operations and sensitive IAM API calls initiated from developer tooling processes like VS Code (including the Amazon Q extension host). This behavior is often associated with the exploitation of MCP (Model Context Protocol) auto-execution vulnerabilities, where attackers attempt to use compromised developer environments to escalate privileges or exfiltrate cloud credentials.
This rule detects potential MFA bypass via stolen session cookies by identifying successful single-factor authentications from new or unmanaged/non-compliant devices, especially when originating from a new geographical location for the user or exhibiting medium/high sign-in risk. It correlates impossible travel, new device, and lack of MDM/EDR compliance signals.
Detects successful sign-ins using legacy authentication protocols (e.g., IMAP, POP3, SMTP AUTH, ROPC) for user accounts that are in scope of a Conditional Access policy requiring multi-factor authentication (MFA). Legacy protocols do not support modern authentication flows, effectively bypassing configured MFA requirements and increasing the risk of credential-based attacks.
Detects successful authentication events from accounts identified as service, managed, or robot accounts (e.g., svc_, sa_, msol, robot) originating from external IP addresses or exhibiting an unusually high number of distinct source IP addresses. This behavior is indicative of potential credential theft, token replay attacks, or unauthorized usage of service account identities.
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