Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

985 detections

This rule detects unscheduled modifications to federation, application, or service principal credentials, including ADFS token-signing certificates, in both Azure AD (via O365 management activity logs) and local Windows environments (via Security Event Logs). It filters these events against a known rotation schedule to highlight suspicious, non-routine changes that may indicate persistence establishment or identity provider tampering.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
001
Detects potential lateral movement by identifying users who have recently had a confirmed infostealer malware infection on a source host and subsequently initiate RDP or WinRM connections from a different host to internal network resources.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
001
Detects non-interactive sign-in events where a refresh token is used to authenticate without satisfying a multi-factor authentication (MFA) requirement. This pattern is indicative of potential token theft and replay attacks, where an adversary uses a stolen refresh token to maintain persistence or access resources without triggering the expected MFA prompt.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
001
Detects interactive (Logon Type 10) or network (Logon Type 3) authentication to Windows hosts originating from external, non-RFC1918 IP addresses using 'Negotiate' authentication. This pattern is indicative of potential lateral movement from a cloud-connected environment into on-premises infrastructure, specifically where an adversary might be leveraging stolen session artifacts or credentials to bypass standard Kerberos-based domain authentication.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
001
Detects coordinated activity characteristic of NotPetya-like lateral movement. It identifies a local account authenticating across multiple hosts (credential reuse), followed by the creation of a transient Windows service (typically for remote command execution) and the invocation of rundll32.exe to execute a DLL export by ordinal on the same device.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
003
Detects successful authentication events for accounts that have been dormant for at least 90 days, correlated with suspicious activity markers such as recent failed sign-in attempts, access from an unfamiliar geographic location or ASN, or a complete absence of historical sign-in activity.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
103
Detects potential lateral movement by identifying NTLM authentication (Logon Type 3) to administrative network shares (ADMIN$, C$, IPC$) or high-frequency access to multiple hosts by the same user, which may indicate credential abuse or lateral movement attempts.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
001
This rule detects instances of Kerberos Ticket-Granting Ticket (TGT) requests (Event IDs 4768 and 4769) that utilize the legacy RC4 encryption type (0x17). In modern Active Directory environments where AES is the standard for Kerberos, the use of RC4 can be a strong indicator of a Golden Ticket attack or other unauthorized ticket forging activities, as adversaries often force a downgrade to RC4 for easier offline cracking.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
001
Detects anomalous sign-in behavior, including impossible travel (geo-velocity) and non-interactive authentication without MFA, specifically targeting patterns indicative of Adversary-in-the-Middle (AiTM) session token theft.
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Ibrahim Saud@tektrix
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Detections.ai Community
30 days ago
001
Detects high-risk domain account activity, specifically identifying either impossible-travel authentication patterns in cloud logs or rapid, multi-host interactive authentication fan-out within one hour. These detections are further correlated with subsequent RDP or WinRM session establishment, indicating potential lateral movement or compromise of legitimate accounts.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
203
Detects potential credential dumping activity via DCSync, identified by a non-DC computer account performing directory replication (DRS GetNCChanges), correlated with subsequent suspicious Kerberos ticket requests (Event ID 4769) that utilize weak encryption (RC4 or legacy DES), which is often associated with Golden Ticket abuse.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
Detects the clearing of Windows Event Logs via wevtutil, PowerShell, or registry modification, occurring within one hour of a remote interactive or network logon event on the same host. This pattern is indicative of anti-forensic activity often performed following lateral movement or prior to destructive actions like ransomware deployment.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
Detects anomalous authentication behavior consistent with Adversary-in-the-Middle (AiTM) phishing attacks, specifically where an MFA-authenticated session is accessed from multiple, disjoint geographic locations or IP addresses within a short timeframe, indicating the replay of stolen session tokens.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
This rule detects potential lateral movement via Remote Desktop Protocol (RDP) by identifying a single user account establishing RemoteInteractive (logon type 10) sessions to three or more distinct destination hosts within a 15-minute timeframe. This pattern is indicative of an attacker attempting to traverse a network from a compromised host.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects potential Kerberoasting activity by monitoring Kerberos Service Ticket requests (Event IDs 4768 and 4769) that utilize the weak RC4 encryption type (0x17). The rule filters for non-computer account activity and specific suspicious Ticket Options that are commonly associated with tool-based Kerberoasting attacks.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
601
Detects potential Pass-the-Hash (PtH) activity by monitoring for NTLM network logons (Logon Type 3) that are associated with a blank WorkstationName, often indicating spoofing. This pattern is correlated with the assignment of special privileges (EventID 4672) to capture scenarios where stolen NTLM hashes are replayed for lateral movement into a system.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
This rule detects potential lateral movement by identifying a single user account authenticating to three or more distinct hosts using NTLM via network (LogonType 3) or impersonation (LogonType 9) logons, which is characteristic of credential-based movement across a network.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
101
Detects the creation of suspicious services that are preceded by an administrative SMB share (ADMIN$) connection and a network logon event (Type 3) from the same source. This pattern is commonly used by lateral movement tools (like PsExec) to execute payloads remotely by installing a service, accessing the administrative share to drop the binary, and executing the service.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects a multi-stage attack pattern involving a non-MFA login to a Citrix portal, followed by lateral movement, and concluding with ransomware deployment behaviors such as shadow copy deletion, recovery disablement, or the dropping of ransom notes associated with ALPHV/BlackCat ransomware.
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Arnold Chan@slaz
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Midnight Slayer
1 month ago
101
Detects anomalous SMB network logon events (Logon Type 3) that are characteristic of NTLM relay attacks. This includes logons involving NTLM V1, anonymous logins, or logons lacking workstation information, which are often indicative of tools like Responder or other relaying utilities.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
Detects successful RDP (Remote Desktop Protocol) logon events (Event ID 4624, Logon Type 10) where the source IP address is outside the predefined internal network ranges. This behavior is indicative of potential lateral movement, where an attacker attempts to access internal systems from an external, non-corporate source.
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Ankit Mehta@Secvyn
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Detections.ai Community
1 month ago
001
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