SigmaHQ Detections
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Detects suspicious process execution originating from ManageEngine applications, as observed in attacks attributed to Mint Sandstorm. The rule specifically looks for PowerShell, `lsass` related commands, `wget`, `curl`, script execution, local group modifications, network user additions, registry modifications for Defender or LSA, WMIC for process creation or shadow copy deletion, `vssadmin` for shadow deletion, and `wbadmin` for catalog deletion, all originating from a ManageEngine parent process. It filters out legitimate ManageEngine downloads.
Detects specific process behavior observed with Devil Bait malware samples. This rule identifies the execution of 'cmd.exe' as a child process of 'wscript.exe', attempting to redirect output to an XML or TXT file within the APPDATA\Microsoft directory. Additionally, it looks for reconnaissance commands such as 'ipconfig /all', 'dir', 'systeminfo', and 'tasklist' executed via 'cmd.exe'. This combination of behaviors is indicative of Devil Bait malware performing initial system reconnaissance and data collection.
This rule detects the execution of common Windows command-line utilities used for system network configuration discovery. Adversaries often use these commands to gather information about the network environment, including IP addresses, network interfaces, ARP tables, NetBIOS information, and routing tables. The specific commands monitored are 'ipconfig /all', 'netsh interface show interface', 'arp -a', 'nbtstat -n', 'net config', and 'route print'.
This rule detects the execution of Python web servers via the command line interface (CLI) on Linux systems. Adversaries often use Python's built-in HTTP server modules (like `http.server` or `SimpleHTTPServer`) in post-exploitation scenarios to quickly establish a web server without needing to install additional software. This allows them to easily transfer files between a compromised host and attacker-controlled systems, facilitating data exfiltration or further payload delivery.
Detects when an executable launches an identical instance of itself, a behavior often used to create a suspended “sacrificial” process for code injection or evasion. Investigate for indicators such as the process being started in suspended mode, rapid parent termination, memory manipulation (e.g., WriteProcessMemory, CreateRemoteThread), or unsigned binaries. Review command-line arguments, process ancestry, and network activity to confirm if this is legitimate behavior or process injection activity.
Detects execution of the Kaspersky init.d stop script on Linux systems either directly or via systemctl.
This activity may indicate a manual interruption of the antivirus service by an administrator, or it could be a sign of potential tampering or evasion attempts by malicious actors.
This activity may indicate a manual interruption of the antivirus service by an administrator, or it could be a sign of potential tampering or evasion attempts by malicious actors.
Detects unauthorized access to Signal Desktop's sensitive data files, specifically 'db.sqlite' which stores encrypted messages and 'config.json' which contains the decryption key. An adversary gaining access to both files can decrypt and read sensitive messages without user credentials. The rule currently focuses on the default installation path in AppData\Roaming.
Detects a copy command or a copy utility execution to or from an Admin share or remote
Detects outbound network connections to Azure Front Door (azurefd.net) that are not initiated by common web browsers or known benign applications/services. This rule aims to identify potentially suspicious use of Azure Front Door for command and control (C2) or other malicious activities, as adversaries can leverage this legitimate service for obfuscation, such as domain fronting.
Detects the creation of a new office macro files on the system via an application (browser, mail client).
This can help identify potential malicious activity, such as the download of macro-enabled documents that could be used for exploitation.
This can help identify potential malicious activity, such as the download of macro-enabled documents that could be used for exploitation.
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