Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
4,308 detections
Filters
Last updated
All Time
Detection languages
2,033
733
398
298
243
Contributors
1,048
740
503
372
239
Categories
20,443
11,831
5,875
5,151
4,864
4,308
Platforms
2,570
792
615
382
319
Products / Services
767
739
659
512
348
MITRE Techniques
2,347
917
847
814
635
CVEs
9
6
6
6
5
IDS Classtypes
81
66
44
14
14
IDS Protocols
136
79
11
7
4
Detects instances where a user or administrator grants consent to an OAuth application in Azure AD requesting highly sensitive delegated or application permissions, such as Mail.Read, Mail.ReadWrite, offline_access, or directory-wide read/write scopes. Attackers often use these consents to maintain persistent, silent access to a user's mailbox and cloud resources even after primary session tokens are revoked.
Detects unauthorized non-browser processes attempting to access Chrome browser master keys or bypass App-Bound Encryption by interacting with the Chrome IElevator service, DPAPI routines, or the 'Local State' configuration file. This behavior is indicative of infostealer activity aiming to decrypt browser-stored session cookies and credentials.
Detects a hybrid identity attack sequence where an anomalous or high-risk cloud sign-in (e.g., AD FS, Azure AD Connect) is followed within 24 hours by suspicious on-premise Active Directory activity, specifically DCSync replication requests or Kerberoasting (high volume of TGS requests). This pattern is indicative of an attacker leveraging stolen cloud session tokens to pivot into on-premise infrastructure.
This rule detects potential unauthorized access to Azure Key Vault secrets by correlating AI agent process execution on an endpoint with subsequent Key Vault API activity by the same user account. It tracks common AI coding/assistant tools running locally on a device and triggers an alert if the same identity accesses cloud-plane Key Vault operations within 5 minutes. Additionally, it identifies anomalous bulk secret enumeration patterns in Key Vault audit logs to detect potential automated exfiltration.
This rule monitors for known suspicious RPC interface and function calls indicative of post-exploitation activities. It specifically targets RPC patterns used for lateral movement (e.g., PsExec, wmiexec, dcomexec), authentication coercion (e.g., PetitPotam, PrinterBug), and credential theft (e.g., DCSync, SAMR enumeration) by filtering on specific interface UUIDs and operation numbers.
Detects anomalous credential access behavior by identifying instances where a compromised explorer.exe process (injected with the Kothamine payload DLL MicrosoftEdgeUpdateCore.dll) accesses browser cookie stores and gaming credential files in quick succession.
Detects anomalous patterns of Kerberos Ticket Granting Service (TGS) requests using RC4 encryption (0x17), which is a common indicator of Kerberoasting attacks. The rule identifies accounts requesting a high volume of service tickets for distinct Service Principal Names (SPNs), excluding the krbtgt account.
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.
Detects attempts to access or dump the memory of the Local Security Authority Subsystem Service (LSASS) process, a technique commonly used by adversaries to harvest domain credentials and clear-text passwords from memory.
Detects unauthorized processes attempting to open handles to the Local Security Authority Subsystem Service (LSASS) process with access rights consistent with credential dumping (e.g., PROCESS_VM_READ, PROCESS_ALL_ACCESS). This rule also specifically flags the use of well-known tools and techniques such as Mimikatz, ProcDump, and the abuse of rundll32.exe with comsvcs.dll for memory extraction, which is indicative of OS Credential Dumping (T1003.001).
Detects anomalous Kerberos TGS ticket requests (Event ID 4769) where a single user requests tickets for multiple distinct Service Principal Names (SPNs) using weak RC4 (0x17) encryption. This behavior is highly characteristic of Kerberoasting, a technique used by adversaries to harvest service account tickets for offline cracking.
This rule detects the use of forged Kerberos Ticket-Granting Tickets (Golden Tickets), which are typically generated by abusing the KRBTGT account's NTLM hash. The rule monitors Windows Event IDs 4768 and 4769 for anomalies including excessively long ticket lifetimes (common in Mimikatz outputs), evidence of tickets used post-KRBTGT reset, or tickets issued for accounts that do not exist in the environment.
Detects the use of token manipulation APIs (DuplicateToken, DuplicateTokenEx, ImpersonateLoggedOnUser), the 'runas' command for credential switching, or the execution of known security token manipulation tools (e.g., incognito, Tokenvator, Invoke-TokenManipulation). This activity is commonly associated with privilege escalation and token theft.
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.
Detects a high frequency of SSH connection attempts originating from a single source address within a short timeframe, specifically targeting the initial SSH handshake string. This is indicative of automated brute force or credential stuffing activity against SSH services.
This rule detects artifacts and command-line patterns associated with Impacket utility suite modules, specifically wmiexec.py, smbexec.py, and secretsdump.py. These tools are commonly used by adversaries for remote command execution, lateral movement, and dumping of sensitive domain or system credentials.
This rule detects potential AS-REP Roasting attempts by identifying an unusually high volume of Kerberos AS-REQ requests (Event ID 4768) where the preauthentication type is set to 0. These requests are grouped by source IP or client address, and alerts are triggered when the number of unique accounts targeted or the total request count exceeds defined thresholds. AS-REP Roasting is an attack technique that attempts to retrieve a TGT for user accounts that have Kerberos preauthentication disabled, making them susceptible to offline brute-force password cracking.
This rule detects potential AS-REP Roasting attempts by identifying an unusually high volume of Kerberos AS-REQ requests (Event ID 4768) where the preauthentication type is set to 0. These requests are grouped by source IP or client address, and alerts are triggered when the number of unique accounts targeted or the total request count exceeds defined thresholds. AS-REP Roasting is an attack technique that attempts to retrieve a TGT for user accounts that have Kerberos preauthentication disabled, making them susceptible to offline brute-force password cracking.
This rule detects unauthorized directory replication requests (DRSUAPI) using Active Directory Event ID 4662. It specifically monitors for access requests to sensitive directory replication object GUIDs (Get-Changes / Get-Changes-All) where the requesting user account is not a domain controller computer account. This behavior is a common indicator of DCSync credential dumping attacks performed by tools like Mimikatz or Impacket.
Detects OAuth2 authorization code flow attempts in Entra ID (Azure AD) sign-in logs where the redirect URI is external to the Microsoft ecosystem, followed by an immediate token issuance event to that same suspicious endpoint. This behavior is indicative of 'ClickFix' or 'ConsentFix' phishing attacks, where users are manipulated into copying an authorization code from a legitimate Microsoft sign-in prompt and pasting it into an attacker-controlled application.
Detects anomalous sign-in behavior where the same Entra ID session or refresh token is reused from two geographically distant IP addresses within a short timeframe. This activity is correlated with a prior suspicious OAuth consent-grant or device-code authentication event on the same account, which is a common indicator of an 'EvilTokens' style session-token replay attack.
Page 13 of 206



