Detections

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

2,006 detections

Detects multiple failed SSH authentication attempts originating from a single source IP within a short timeframe, which is indicative of a brute-force or credential-stuffing attack against SSH services.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects the use of the PSEXESVC named pipe during a write operation over the SMB protocol, which is indicative of lateral movement using the PsExec tool.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects successful logon events (4624) or special logon attempts (4648) associated with accounts or workstations identified as Qualys scanner agents. This is typically used to identify or baseline vulnerability scanning activity across the environment.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
003
Detects a high frequency of incoming TCP SYN packets targeting port 3389 (RDP) from a single source within a short time window. This behavior is indicative of a brute-force or credential-stuffing attack against Remote Desktop services.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects network traffic indicative of PsExec lateral movement, specifically identifying the authentication or access to the hidden 'ADMIN$' network share followed by the transfer or execution of the 'PSEXESVC' service binary, a hallmark of the PsExec tool.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects anomalous DCOM RPC bind requests on port 135 targeting WMI-related interfaces, which is a common indicator of lateral movement using Windows Management Instrumentation (WMI) over DCOM.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule monitors network traffic over the Telnet protocol (TCP port 23) for patterns indicative of Mirai botnet propagation. It identifies sequences of characters commonly used in Mirai brute-force attempts to guess default credentials (e.g., 'admin' followed by 'password'). The rule utilizes a threshold-based detection filter to trigger only when multiple such attempts are observed from a single source within a 60-second window, helping to filter out individual noise and focus on active scanning behavior.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects HTTP directory traversal attempts by inspecting incoming URI requests for common path traversal sequences such as '../', '..%2F', '..%2f', '..%5C', or '..%5c'. Attackers use these sequences to escape the web root directory and access unauthorized files on the server.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects potential lateral movement attempts using Windows Remote Management (WinRM) by monitoring for specific WSMan SOAP protocol headers in HTTP traffic. It specifically looks for POST requests to the WSMan endpoint that contain suspicious keywords like 'winrs', 'MSRPC', or 's:Envelope', which are commonly associated with remote command execution via winrs or PSSession.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects the execution of PsExec (psexec.exe or psexesvc.exe) where the binary is not digitally signed by Microsoft Corporation. This is often an indicator of renamed or tampered versions of the tool used for lateral movement or remote command execution.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects common lateral movement patterns associated with Pass-the-Hash (PtH) attacks, specifically identifying remote execution via WMI/services, the use of explicit credentials in management utilities (wmic/net), and suspicious network connections from known administration tools over lateral movement ports.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects stolen session token reuse to bypass MFA by correlating a successful SSO/VPN login from one IP with a subsequent successful login from a different IP using the same user agent context, or a user-agent change between sessions for the same user within a short window. Targets access broker technique where infostealer-harvested session cookies are replayed from different source IPs.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
009
This rule detects a high volume (5 or more within an hour) of process creation events where the command line contains keywords associated with remote access protocols like DCOM, WMI, or RPC. This could indicate an adversary utilizing these protocols for lateral movement or remote execution.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects a high volume of activity (10 or more events within an hour) to Windows administrative shares (C$, IPC$, ADMIN$) from a single source IP address. This behavior can indicate lateral movement, data exfiltration, or other malicious activity using legitimate administrative functions.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
102
This rule detects an unusually high volume of successful network connections over SMB (ports 135, 139, 445) originating from a single account within a one-hour window. This behavior can be indicative of lateral movement, reconnaissance, or data exfiltration activities using SMB/RPC.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
202
This rule detects a high volume of access attempts (5 or more within an hour) to administrative shares (C$, D$, E$, ADMIN$) from a single source IP address. This activity can be indicative of lateral movement, data exfiltration, or reconnaissance by an adversary attempting to gain access to sensitive information or spread malware across the network.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
102
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'.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
1011
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.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
003
Detects the use of 'sshpass' to automate SSH authentication, often used for lateral movement. The rule monitors command lines for the 'sshpass' utility combined with 'StrictHostKeyChecking=no' and specific service accounts (psoft, oracle, linuxadm) often targeted by threat actors such as ShinyHunters.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
109
This rule detects when a non-administrative user grants an application high-privilege OAuth scopes (such as mail reading, file access, or directory management) within an Azure/Microsoft 365 environment. Such consent grants can be used by attackers to maintain persistence and bypass MFA by gaining delegated access to sensitive resources.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
106
Detects the abuse of GitLab Runner to establish a C2 channel via malicious PowerShell script blocks. The rule identifies anomalous combinations of GitLab CI environment variables (e.g., CI_PIPELINE_SOURCE=api, GIT_STRATEGY=none, CI_JOB_NAME=run_command) and the execution of arbitrary commands (IEX $env:CMD) within PowerShell script block logging (Event ID 4104).
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Ethan Andrews@eandrews
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Federal Signal Detections
4 months ago
002
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