Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the use of standard Linux command-line utilities (e.g., cat, curl, vi) to read or reference sensitive cloud credential files or Kubernetes service account tokens. This behavior is a common indicator of credential theft or discovery activities following initial access to a Linux host.
Detects a potential web shell deployment by identifying a web server process creating or modifying a file in common web directory locations, followed shortly (within 10 minutes) by the execution of that same file.
Detects execution of shell commands containing obfuscated patterns (such as base64 decoding, hex character sequences, or piped commands) when spawned by core Citrix NetScaler service processes (nsppe, httpd, or nsaaad). This behavior is often indicative of exploitation attempts or post-exploitation activities on network appliances.
Detects web server processes (e.g., IIS w3wp.exe, Apache, Nginx, PHP-FPM) spawning suspicious child processes such as command shells (cmd, powershell, bash, sh), network utilities (curl, wget), or interpreters (python, perl). This behavior is strongly indicative of exploitation of a public-facing web application and the subsequent execution of a webshell or post-exploitation command activity.
Detects git checkout of a bare 40-hex commit SHA or the literal FETCH_HEAD ref, executed by a recognized AI coding-agent process. Narrowed to the Plugin4Shell exploitation fingerprint (checkout of a pinned-SHA-shaped or FETCH_HEAD ref) rather than ordinary branch/tag checkouts, which these agents perform constantly during normal plugin installs.
Detects instances where a Microsoft IIS worker process (w3wp.exe) executes commands such as 'findstr', 'Get-Content', or 'Select-Xml' to scan configuration files (e.g., applicationHost.config, web.config) or source code files (e.g., App_Code/*.cs) for sensitive information like passwords, connection strings, or API keys. This behavior is indicative of credential harvesting by an attacker using a webshell or compromised IIS process.
Detects instances where the IIS worker process (w3wp.exe) spawns the Windows command shell (cmd.exe) to execute common reconnaissance commands such as whoami, hostname, systeminfo, and net user. This behavior is strongly indicative of post-exploitation activity following a successful web shell deployment on a web server.
Detects instances where the IIS worker process (w3wp.exe) spawns the Windows command shell (cmd.exe) to execute common reconnaissance commands such as whoami, hostname, systeminfo, and net user. This behavior is strongly indicative of post-exploitation activity following a successful web shell deployment on a web server.
Detects persistence mechanisms associated with the MATCHBOIL campaign, identifying instances where a registry run key and a scheduled task pointing to an application data (%LOCALAPPDATA%) path are created by the same process within a short window, or where known specific scheduled task names and run value names are observed.
Detects persistence mechanisms associated with the MATCHBOIL campaign, identifying instances where a registry run key and a scheduled task pointing to an application data (%LOCALAPPDATA%) path are created by the same process within a short window, or where known specific scheduled task names and run value names are observed.
Detects persistence mechanisms associated with the MATCHBOIL campaign, identifying instances where a registry run key and a scheduled task pointing to an application data (%LOCALAPPDATA%) path are created by the same process within a short window, or where known specific scheduled task names and run value names are observed.
Detects the execution of PowerShell with a bypass execution policy that performs a download or web request to save content to a file in the user's temp directory, followed by the immediate execution of that file. This pattern is characteristic of multi-stage malware droppers or fileless attack techniques attempting to stage and execute malicious scripts from temporary locations.
Detects the deletion of volume shadow copies using common Windows administrative tools such as vssadmin, wmic, and PowerShell. This activity is frequently observed during the pre-encryption stage of ransomware attacks to prevent system restoration.
This rule detects instances where the MSP360 RMM Agent installer triggers an UAC elevation failure. The detection specifically monitors the execution of eventcreate.exe, which is often used to log events, when the command line includes strings indicating that the MSP360 installer failed to elevate privileges.
Detects the execution of PowerShell with suspicious flags such as encoded commands (-enc, -ec, -encodedcommand) combined with execution policy bypass flags and common .NET classes or methods used for downloading content from the internet (e.g., Net.WebClient, IEX, Invoke-WebRequest). This pattern is commonly observed in fileless malware delivery or secondary payload retrieval stages.
Detects the execution of batch or command scripts initiated by SQL Server (sqlservr.exe) or in contexts involving command-line utility misuse often associated with SQL Server exploitation, such as xp_cmdshell or certutil, particularly when involving paths like AppData or ServiceProfiles.
Detects a sequence of events where a user clicks a shared link to an AI chatbot conversation followed closely (within 15 minutes) by the execution of potentially malicious processes (mshta, powershell, cmd) that include suspicious command-line patterns indicative of ClickFix-style social engineering.
Detects a sequence of events where a user clicks a shared link to an AI chatbot conversation followed closely (within 15 minutes) by the execution of potentially malicious processes (mshta, powershell, cmd) that include suspicious command-line patterns indicative of ClickFix-style social engineering.
Detects suspicious behavior by the IIS worker process (w3wp.exe) indicative of web shell deployment, specifically the spawning of command interpreters (cmd.exe, powershell.exe) or the writing of .aspx files. This activity is consistent with exploitation campaigns targeting MOVEit Transfer, such as those conducted by the Lace Tempest (Cl0p) group.
Detects instances where AI agent runtime environments, such as Python or Node.js processes, spawn command interpreters to execute commands that suggest reconnaissance or unauthorized system manipulation. This behavior is indicative of a hijacked AI agent abusing its tool-use capabilities to execute commands outside of an approved workflow.
This analytic detects suspicious python package installations where the package name resembles popular Python libraries but may be typosquatted or slightly altered.
Typosquatting is a common technique used by attackers to trick users into installing malicious packages that mimic legitimate ones.
This detection leverages Cisco NVM flow telemetry and checks for pip or poetry package managers with the "install" or "add" flags, making outbound connections to package repository such as `pypi.org` with known or suspected typo package names.
Typosquatting is a common technique used by attackers to trick users into installing malicious packages that mimic legitimate ones.
This detection leverages Cisco NVM flow telemetry and checks for pip or poetry package managers with the "install" or "add" flags, making outbound connections to package repository such as `pypi.org` with known or suspected typo package names.
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