Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects the execution of powershell.exe with command-line arguments that utilize 'curl' to download a file from a specific remote IP address (103.86.86.244). This behavior is characteristic of adversaries using built-in Windows tools or redirected utilities to perform ingress tool transfer as part of a malicious payload delivery.
The following analytic detects the use of download or file reading utilities from Windows, Linux or MacOS to download or read the contents of a file from a remote or local source and pipe it directly to a shell for execution.
This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions.
This activity is significant as it is commonly associated with malicious actions like coinminers and exploits such as CVE-2021-44228 in Log4j.
If confirmed malicious, this behavior could allow attackers to execute arbitrary code, potentially leading to system compromise and unauthorized access to sensitive data.
This detection leverages data from Endpoint Detection and Response (EDR) agents, focusing on command-line executions.
This activity is significant as it is commonly associated with malicious actions like coinminers and exploits such as CVE-2021-44228 in Log4j.
If confirmed malicious, this behavior could allow attackers to execute arbitrary code, potentially leading to system compromise and unauthorized access to sensitive data.
The following analytic identifies public network connections initiated by Living Off the Land Binaries and Scripts (LOLBAS) that rarely require direct outbound network access.
It leverages the Network Traffic data model and focuses on native Windows binaries where any public destination should be investigated and explicitly approved.
This activity may indicate proxy execution, process injection, payload download, command-and-control, or other abuse of trusted binaries to evade security controls.
Keep in mind that some of these binaries, such as Netsh.exe, Gpscript.exe, Wmic.exe, etc., will occasionally communicate with public network resources to perform their intended function.
Exclude said processes from the detection if they are too noisy for your environment.
Join this detection with the Process Execution events to provide context and avoid false positives.
It leverages the Network Traffic data model and focuses on native Windows binaries where any public destination should be investigated and explicitly approved.
This activity may indicate proxy execution, process injection, payload download, command-and-control, or other abuse of trusted binaries to evade security controls.
Keep in mind that some of these binaries, such as Netsh.exe, Gpscript.exe, Wmic.exe, etc., will occasionally communicate with public network resources to perform their intended function.
Exclude said processes from the detection if they are too noisy for your environment.
Join this detection with the Process Execution events to provide context and avoid false positives.
Detects an HTTP GET request to 'dl.php' containing an 'f' parameter (target file) and an 'k' parameter (access token), followed by a response body starting with the 'MZ' header, indicating the successful download of a Windows PE executable as part of a potential phishing campaign stage-2 payload delivery.
Detects an HTTP GET request to 'dl.php' containing an 'f' parameter (target file) and an 'k' parameter (access token), followed by a response body starting with the 'MZ' header, indicating the successful download of a Windows PE executable as part of a potential phishing campaign stage-2 payload delivery.
This rule detects suspicious PowerShell execution that attempts to download files from the internet using the Invoke-WebRequest cmdlet. It specifically looks for PowerShell processes launched with hidden and execution policy bypass flags, coupled with specific hardcoded malicious URL patterns associated with a known campaign (NotaFiscal/nfe_valid_access_key_2026_secure).
Detects instances where common web server applications (e.g., Apache, Tomcat, IIS, Nginx) or Java runtime environments spawn suspicious child processes like command shells (cmd.exe, powershell.exe, sh, bash) or network utilities (wget, curl). This behavior often indicates exploitation of a web vulnerability, such as Remote Code Execution (RCE), allowing an adversary to execute commands or download further malicious payloads.
Detects the ProRAM macOS ARM64 Mach-O implant, identified by specific internal codesign strings, download URLs (cloudfront.net/helper), and local file drop paths ($HOME/updated) consistent with the Funnull threat actor's activity.
This rule detects potential command and control (C2) activity associated with the CurlRAT malware. It monitors for both the execution of 'curl' or 'curl.exe' processes with command lines containing known C2 domains, and network traffic originating from internal devices directed toward those same domains.
This rule detects the use of the curl command-line utility to communicate with a specific IP address (162.0.239.85) on port 3000, specifically targeting a path associated with 'mac' tasks. This pattern is indicative of a downloader or a staged payload retrieval from an external command-and-control server.
Detects a suspicious sequence of activities where PowerShell downloads or extracts specific zip files (node.zip, build.zip) to staging directories, followed by the execution of associated binaries like node.exe, winpty-agent.exe, or winpty.dll from those same locations. This behavior is indicative of an adversary staging and executing tooling within temporary user directories.
This rule detects network connections or DNS queries to known phishing domains (typosquatted Microsoft login domains), DeadDrop Resolver domains, and suspicious HTML payloads served from common CDN/package hosting sites (e.g., unpkg.com, npmmirror.com, cdn.jsdelivr.net, yarnpkg.com). These patterns are indicative of initial access attempts via phishing or the secondary stage of malware C2 communication.
This rule detects potential malicious activity related to the 'gh-token-monitor' toolkit by aggregating suspicious signals across file, process, and network data sources on an individual host. It looks for the presence of specific configuration files or scripts, execution of commands associated with the toolkit or setup processes, and network connections to known command-and-control domains or IP addresses. A host is flagged if it exhibits two or more of these distinct signal categories, suggesting a high-confidence indicator of compromise.
Detects anomalous command-line arguments and process injection behaviors associated with the Sogou IME protocol handler (biz_helper.exe). The rule monitors for malicious argument injection (e.g., embedded scripts, URLs pointing to non-Sogou domains) and correlates these events with suspicious child processes or network activity, consistent with techniques observed in the GRAYRABBIT / UNC3569 threat activity.
Detects anomalous command-line arguments and process injection behaviors associated with the Sogou IME protocol handler (biz_helper.exe). The rule monitors for malicious argument injection (e.g., embedded scripts, URLs pointing to non-Sogou domains) and correlates these events with suspicious child processes or network activity, consistent with techniques observed in the GRAYRABBIT / UNC3569 threat activity.
Detects HTTP traffic involving the retrieval of 7z.exe or 7zp.dll payloads from a known Alibaba Cloud staging server associated with the UNC3569 threat actor and the GRAYRABBIT malware. The rule uses a threshold-based detection to identify repeated download attempts from the external IP 8.218.50.207.
Detects HTTP traffic involving the retrieval of 7z.exe or 7zp.dll payloads from a known Alibaba Cloud staging server associated with the UNC3569 threat actor and the GRAYRABBIT malware. The rule uses a threshold-based detection to identify repeated download attempts from the external IP 8.218.50.207.
Detects HTTP traffic involving the retrieval of 7z.exe or 7zp.dll payloads from a known Alibaba Cloud staging server associated with the UNC3569 threat actor and the GRAYRABBIT malware. The rule uses a threshold-based detection to identify repeated download attempts from the external IP 8.218.50.207.
Detects anomalous SSH sessions originating from potentially suspicious IP addresses that utilize an 'SSH-2.0-Go' banner and immediately perform file creation operations associated with the RedTail botnet (e.g., shell scripts or architecture-specific binaries).
This rule detects the use of PowerShell or common command-line network tools (curl, wget) to download or interact with files containing references to WPPConnect or WhatsApp automation JavaScript libraries. It flags activity where the parent process is a common LOLBIN (Living Off the Land Binary) or originates from suspicious locations such as user temporary directories, which is indicative of malicious automated tooling or script execution.
This rule detects potentially suspicious activity involving the execution of node.js, npm, or curl where a specific node version (node-v20.11.1-darwin-x64) and a file named 'parser.js' appear in the command line within a short period. This pattern is indicative of a developer or attacker staging tools and scripts on a macOS system.
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