Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the execution of the "cloudflared" tool with the "tunnel cleanup" command. This command is used to remove Cloudflare Tunnel connections, which could be an indicator of an adversary attempting to remove traces of their C2 infrastructure or clean up after an operation. The rule looks for specific command-line arguments including 'tunnel', 'cleanup', and either '-config' or '-connector-id'.
This rule detects network connections initiated by executables (excluding common internet browsers and known applications) to a list of legitimate, popular websites that have been previously identified as 'dead drop resolvers' in cyberattacks. Attackers leverage these trusted websites (e.g., Facebook, YouTube, Google Drive) to host C2 infrastructure or relay data, aiming to blend in with normal network traffic and evade detection. The rule specifically filters out connections from a comprehensive list of legitimate browser executables and other applications to reduce false positives.
Detects executables located in potentially suspicious directories initiating network connections towards file sharing domains. This behavior can indicate data exfiltration or the staging of malicious tools.
Detects the execution of the "cloudflared" binary from a non standard location.
Detects creation of an ad-hoc Cloudflare Quick Tunnel, which can be used to tunnel local services such as HTTP, RDP, SSH and SMB.
The free TryCloudflare Quick Tunnel will generate a random subdomain on trycloudflare[.]com, following a call to api[.]trycloudflare[.]com.
The tool has been observed in use by threat groups including Akira ransomware.
The free TryCloudflare Quick Tunnel will generate a random subdomain on trycloudflare[.]com, following a call to api[.]trycloudflare[.]com.
The tool has been observed in use by threat groups including Akira ransomware.
Detects execution of the "cloudflared" tool with the tunnel "cleanup" flag in order to cleanup tunnel connections.
Detects execution of the "cloudflared" tool to connect back to a tunnel. This was seen used by threat actors to maintain persistence and remote access to compromised networks.
Detects the execution of a renamed "cloudflared" binary.
This rule detects the Voldemort backdoor by identifying specific byte patterns related to its configuration decryption, general decryption algorithm, access token request mechanism, network communication routines, and data download functions from its command and control (C2) server. The rule looks for a combination of these distinct code segments within a Windows executable (MZ header).
This rule detects a specific command-line execution pattern used by the threat actor 'Lace Tempest' to download 'Cobalt Strike'. The pattern involves PowerShell's 'IEX ((new-object net.webclient).downloadstring(' command, which is commonly used for in-memory execution of downloaded scripts or payloads. The detection specifically looks for the combination of '-nop -w hidden -c IEX ((new-object net.webclient).downloadstring(' and '/a') in the command line, indicating an attempt to download and execute a script, likely a Cobalt Strike payload, as reported by the SysAid Team.
Detects DNS query requests to Visual Studio Code tunnel domains. Attackers can abuse that feature to establish a reverse shell or persistence on a machine.
Detects the use of 'IMEWDBLD.exe', a legitimate Microsoft binary, to download arbitrary files from HTTP or HTTPS sources. This technique is often abused by adversaries for ingress tool transfer or to fetch additional malicious payloads, leveraging a trusted binary to bypass defenses.
Detects the creation of 'Autoit3.exe' by uncommon or suspicious processes such as 'curl.exe', 'KeyScramblerLogon.exe', 'ExtExport.exe', or 'wmprph.exe'. This activity is associated with DarkGate malware, which leverages 'Autoit3.exe' to execute shellcode for process injection and C2 communication. The identified parent processes are considered non-standard for creating this executable.
Detects the execution of a shell (PowerShell, Bash, WSL) via a Visual Studio Code tunnel. Attackers can abuse this functionality to establish a C2 channel and execute arbitrary commands on the system.
This rule detects the creation of a file named "code_tunnel.json". This file is associated with the execution and usage of the Visual Studio Code (VSCode) tunneling utility. Adversaries can abuse this functionality to establish a command and control (C2) channel, allowing them to remotely control compromised systems.
Detects command execution events originating from ScreenConnect, a legitimate remote administration tool. This rule specifically looks for Windows application log events where ScreenConnect is the provider and an event ID of 200 indicates a command of a certain length was executed. This activity can be indicative of an attacker using ScreenConnect for malicious purposes, such as executing arbitrary commands on a compromised system.
Detects the creation of files by the "node.exe" process within the ".vscode-server" directory, specifically targeting paths related to user history. This activity could indicate remote file creation via the Visual Studio Code tunnel feature, which might be used for unauthorized access or data transfer.
This rule detects the installation of Visual Studio Code Tunnel (code-tunnel) as a Windows service. Adversaries may use legitimate tools like VS Code Tunnel for command and control (C2) to establish persistent communication channels that blend in with normal network traffic, making detection more difficult. The detection logic specifically looks for command-line arguments indicative of service installation, including 'tunnel', 'service', 'internal-run', and 'tunnel-service.log'.
Detects when files are transferred using the ScreenConnect Remote Monitoring and Management (RMM) tool. This activity can indicate an adversary using legitimate tools for data exfiltration or staging.
This rule detects DNS queries to specific domains identified as indicators of compromise (IOCs) associated with the Diamond Sleet APT group. The domains '3dkit.org', 'dersmarketim.com', 'galerielamy.com', and 'olidhealth.com' are known to be used by this threat actor for command and control (C2) communications. Monitoring for these specific DNS queries can help identify systems potentially compromised by Diamond Sleet.
Detects the creation of a file named "code_tunnel.json" when the creating process is not a legitimate Visual Studio Code executable. This indicates potential execution and usage of the VsCode tunneling utility by an unauthorized or renamed process, which could be used for command and control.
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