Detections

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

252 detections

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.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
002
This rule detects potential lateral movement activity by identifying a single user account attempting to log on to five or more distinct computers with at least ten logon attempts within a five-minute window. It specifically looks for successful logons (EventID 4624) with network, remote interactive, or remote desktop logon types (LogonType 3, 9, 10) and excludes machine accounts (TargetUserName not ending with '$'). This pattern can indicate an adversary attempting to spread across the network using compromised credentials.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
102
This rule detects suspicious NTLM network or remote interactive logon activity. It specifically looks for multiple distinct accounts logging in from the same device and remote IP address within a one-hour window, using NTLM authentication via NtLmSsp or Seclogon processes. This pattern can indicate credential stuffing, NTLM relay attacks, or other forms of credential misuse.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
Detects named pipe activity with remote access enabled, initiated by JsonVMAccessExtension.exe running as SYSTEM. This may indicate abuse of the Azure VM Access Extension for unauthorized remote access.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
002
This rule detects internal lateral movement attempts within a network using remote services. It specifically looks for TCP traffic originating from and destined to the home network, indicating internal communication. A threshold of 10 connections within 30 seconds from the same source IP is used to identify suspicious activity, suggesting a potential brute-force or rapid connection attempt indicative of lateral movement.
avatar
Darshan Thummar@Mighty
avatar
Detections.ai Community
5 months ago
002
Detects rundll32.exe loading content directly from a UNC path. This behavior is rare in enterprise environments and was observed in ACR Stealer delivery chains.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
304
Detects named pipe activity with remote access enabled, initiated by JsonVMAccessExtension.exe running as SYSTEM. This may indicate abuse of the Azure VM Access Extension for unauthorized remote access.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
103
This rule detects suspicious access patterns to Windows administrative shares (C$, D$, E$, IPC$, ADMIN$). It specifically looks for multiple access attempts (10 or more within an hour) involving read or write operations (AccessMask contains '0x0001' or '0x0002') from a single source IP address and account. This behavior can indicate lateral movement, data exfiltration, or other malicious activity.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
001
This rule detects suspicious NTLM network or remote interactive logon activity. It specifically looks for multiple distinct accounts logging in from the same device and remote IP address within a one-hour window, using NTLM authentication via NtLmSsp or Seclogon processes. This pattern can indicate credential stuffing, NTLM relay attacks, or other forms of credential misuse.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
5 months ago
006
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.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
Detects rundll32.exe loading content directly from a UNC path. This behavior is rare in enterprise environments and was observed in ACR Stealer delivery chains.
avatar
Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
Detects VNC-based lateral movement activities. Looking for the initial install
avatar
Danny Y@zendannyy
avatar
Detections.ai Community
5 months ago
004
Detects VNC-based activities. Looking for specific VNC processes
avatar
Danny Y@zendannyy
avatar
Detections.ai Community
5 months ago
004
Detects successful network connections over FTP (port 21) or SSH (port 22) initiated by common file transfer applications such as WinSCP, FileZilla, psftp, or scp. This activity could indicate data exfiltration, unauthorized access, or command and control.
avatar
Gurpreet Suhi@gsuhi
avatar
Detections.ai Community
6 months ago
200556
Detects instances where an SSH service on an OpenCanary node has had a connection attempt.
avatar
SigmaHQ Detections@sigmaHQ
avatar
SigmaHQ
6 months ago
002
Detects instances where an SSH service on an OpenCanary node has had a login attempt.
avatar
SigmaHQ Detections@sigmaHQ
avatar
SigmaHQ
6 months ago
001
This rule detects the execution of Remote Monitoring and Management (RMM) tools by service accounts. RMM tools are legitimate software used for IT administration, but their use by service accounts can be indicative of malicious activity, such as an adversary maintaining persistence or performing lateral movement using compromised credentials. The rule identifies processes whose filenames match a predefined list of RMM tool executables or process names and are executed by accounts identified as service accounts based on common naming patterns.
avatar
F S@Fsdr
avatar
Detections.ai Community
7 months ago
430436
Detects execution of the hacktool NetExec.
NetExec (formerly CrackMapExec) is a widely used post-exploitation tool designed for Active Directory penetration testing and network enumeration
In enterprise environments, the use of NetExec is considered suspicious or potentially malicious because it enables attackers to enumerate hosts, exploit network services, and move laterally across systems.
Threat actors and red teams commonly use NetExec to identify vulnerable systems, harvest credentials, and execute commands remotely.
avatar
SigmaHQ Detections@sigmaHQ
avatar
SigmaHQ
6 months ago
000
Detects cleartext network connections using FTP (port 21) or Telnet (port 23) to external IP addresses. This rule specifically filters out internal RFC1918 traffic to focus on public-facing cleartext communications, addressing compliance requirements such as PCI-DSS for strong cryptography over public networks.
avatar
Ali AlEnezi@site
avatar
Detections.ai Community
7 months ago
112136
This rule detects potential lateral movement attempts originating from IIS web servers (identified by 'w3wp.exe' as the initiating process) to other internal IP addresses using common lateral movement ports (SMB, RDP, WinRM, SSH). It specifically looks for successful network connections from an IIS server to a private IP address on one of the specified ports, where the remote IP is not the local IP.
avatar
Ankit Mehta@Secvyn
avatar
Detections.ai Community
7 months ago
80163
Detects VNC-based lateral movement activities. Looking for the initial install
avatar
Danny Y@zendannyy
avatar
Detections.ai Community
8 months ago
0037
Page 7 of 12