Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects HTTP downloads from GitHub involving specific repositories and archive naming patterns commonly associated with the 'NightEagle GhostContainer' threat activity. These patterns involve downloading ZIP files disguised as development or resource packages (e.g., 'mirror-js', 'browserthemes', 'resource-pack').
Detects anomalous, high-volume file access or download operations in SharePoint from a user agent identified as 'python-httpx'. This behavior is characteristic of automated scripts or potential data exfiltration attempts targeting cloud-based file storage.
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 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 high-volume file access and download operations in SharePoint Online and OneDrive where the user agent is identified as 'python-httpx'. This behavior is indicative of automated exfiltration scripts potentially used in malicious cloud intrusion campaigns.
Detects the creation of files in the /tmp/ directory by common command-line tools (curl, wget, sh, bash), followed shortly by a successful external network connection by the same process from the same device, excluding known benign domains.
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 identifies potential phishing emails that impersonate OneDrive sharing notifications. It correlates email messages containing keywords typically associated with document sharing (e.g., 'OneDrive', 'shared', 'file') with subsequent user URL clicks. Crucially, the rule filters for clicks to domains that are not explicitly related to legitimate OneDrive, SharePoint, or 1drv.ms hosting, indicating a potential attempt to lure users to a malicious third-party site under the guise of file sharing.
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 network connections and HTTP requests to known malicious URLs, including file downloads associated with C2 infrastructure and malware distribution campaigns. It monitors both direct device network events and HTTP requests logged through security product events to identify potential secondary-stage payload delivery.
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 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 anomalous activity by newly added guest users in Microsoft Teams, specifically identifying when a guest user account is added and subsequently performs multiple file-related operations (upload, download, access) or message-sending activities within a short timeframe. This behavior can be indicative of external threat actors or compromised guest accounts exfiltrating or accessing sensitive information within a Teams workspace.
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 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.
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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