Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the download of ZIP files with filenames matching known phishing patterns associated with NFe (Nota Fiscal Eletrônica) campaigns, correlated with access to specific malicious or suspicious download URLs within a 15-minute window.
Detects a specific pattern of PowerShell execution involving the download of files from a remote endpoint using parameters associated with Brazilian tax documents (NotaFiscal) to the Desktop directory, followed by immediate execution. The rule looks for a combination of hidden window style, Invoke-WebRequest, specific URL parameters (dl.php, NFe identifiers), and subsequent Start-Process calls, which is indicative of malware dropper activity.
Detects instances where PowerShell is used to download an executable named 'svchost.exe' from an external IP address (103.86.86.244). The rule monitors for network connections to this IP, file creation events matching specific download patterns in fonts directories, and direct command-line arguments involving the suspicious IP and file path, indicating potential malware dropper activity.
Detects network, HTTP, and DNS activity associated with the known three-tier delivery infrastructure (phishing sites, relay/dispatcher servers, and payload hosts) used by the threat actor UNC6671/SilverFox/Aurora. The rule distinguishes between high-confidence confirmed connections and low-confidence DNS-only events.
Detects network, HTTP, and DNS activity associated with the known three-tier delivery infrastructure (phishing sites, relay/dispatcher servers, and payload hosts) used by the threat actor UNC6671/SilverFox/Aurora. The rule distinguishes between high-confidence confirmed connections and low-confidence DNS-only events.
This rule detects attempts to download known malicious NPM packages from the public npm registry (registry.npmjs.org) by monitoring network connection logs. It specifically looks for tarball (.tgz) downloads of packages and versions that have been identified as compromised or malicious. The rule extracts the package name and version from the download URL and compares it against a predefined list of malicious packages for high-fidelity detection.
Detects a sequence of suspicious behaviors on a single host within a 1-hour window, indicative of an adversary establishing a foothold and preparing for malicious activity. The pattern involves: 1) System architecture discovery, 2) Downloading files from an external IP address, 3) Changing permissions of files in temporary directories (e.g., /tmp, /var/tmp, /dev/shm), and 4) Executing files directly from those same temporary directories.
Detects a sequence of suspicious behaviors on a single host within a 1-hour window, indicative of an adversary establishing a foothold and preparing for malicious activity. The pattern involves: 1) System architecture discovery, 2) Downloading files from an external IP address, 3) Changing permissions of files in temporary directories (e.g., /tmp, /var/tmp, /dev/shm), and 4) Executing files directly from those same temporary directories.
This rule detects the use of package managers like 'pip' or 'npm' to install specific suspicious software packages or tools often associated with supply chain compromise or malicious library installation (e.g., 'huggingface-cli', 'unused-imports', 'react-codeshift').
Detects the execution of package managers (pip or npm) to install software dependencies initiated by development or agent-related processes (like IDEs or background services) in a non-interactive session. This behavior can be indicative of automated dependency confusion attacks, malicious supply chain activity, or unauthorized package installation occurring without direct user oversight.
Detects the installation of software packages in build or CI pipelines where the package was published to its registry between 30 and 90 days prior to being first used in the environment. This pattern is indicative of potential dependency confusion or typosquatting attacks, where adversaries use newly created packages to deliver malicious code.
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.
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.
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.
Detects instances where PowerShell is used to download an executable named 'svchost.exe' from an external IP address (103.86.86.244). The rule monitors for network connections to this IP, file creation events matching specific download patterns in fonts directories, and direct command-line arguments involving the suspicious IP and file path, indicating potential malware dropper activity.
Detects instances where PowerShell is used to download an executable named 'svchost.exe' from an external IP address (103.86.86.244). The rule monitors for network connections to this IP, file creation events matching specific download patterns in fonts directories, and direct command-line arguments involving the suspicious IP and file path, indicating potential malware dropper activity.
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 the download of ZIP files with filenames matching known phishing patterns associated with NFe (Nota Fiscal Eletrônica) campaigns, correlated with access to specific malicious or suspicious download URLs within a 15-minute window.
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 a specific pattern of PowerShell execution involving the download of files from a remote endpoint using parameters associated with Brazilian tax documents (NotaFiscal) to the Desktop directory, followed by immediate execution. The rule looks for a combination of hidden window style, Invoke-WebRequest, specific URL parameters (dl.php, NFe identifiers), and subsequent Start-Process calls, which is indicative of malware dropper activity.
Detects the use of PowerShell to download string content from the internet and execute it immediately using Invoke-Expression (IEX). This is a common pattern for fileless malware delivery and secondary stage payload execution.
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