Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
20,483 detections
Filters
Last updated
All Time
Detection languages
8,114
7,158
1,351
1,169
1,063
Contributors
4,878
2,724
2,695
2,646
2,356
Categories
20,483
11,867
5,886
5,169
4,867
Platforms
18,085
3,047
1,506
124
104
Products / Services
5,726
4,293
3,715
1,174
958
MITRE Techniques
9,480
7,574
3,458
2,848
2,703
CVEs
36
28
25
21
20
IDS Classtypes
1
Detects the execution of a malicious Electron-based installer masquerading as Anthropic's Claude AI (ClaudeOpus5-desktop.exe). The rule monitors for the specific filename or known malicious hashes, as well as the spawning of an embedded malicious loader process associated with the RevStealer infection chain.
Detects various indicators of compromise (IOCs) including known malicious file hashes, suspicious file names commonly associated with staging or initialization in web directories, and network communication to known malicious domains or URLs. It also monitors process execution command lines for references to these IOCs, excluding common browser processes.
Detects various indicators of compromise (IOCs) including known malicious file hashes, suspicious file names commonly associated with staging or initialization in web directories, and network communication to known malicious domains or URLs. It also monitors process execution command lines for references to these IOCs, excluding common browser processes.
Detects the use of package installation commands (pip, npm, npx) where the package name resembles popular AI/ML libraries (tensorflow, torch, openai, langchain) but is not an exact match for known legitimate versions. This is a common indicator of a typosquatting supply chain attack, where attackers attempt to trick users into installing malicious packages with similar names to trusted software.
This rule detects attempts to bypass PowerShell execution policies either through command-line arguments ('-ExecutionPolicy Bypass' or '-ExecutionPolicy Unrestricted') or by modifying PowerShell execution policy registry keys. This behavior is commonly used by adversaries to execute unsigned or malicious scripts, circumventing default system security restrictions.
Detects a sequence of activity characteristic of lateral movement and credential theft: the deployment or execution of PsExec service followed by the use of Windows utilities (vssadmin, ntdsutil, esentutl) to perform Volume Shadow Copy-based extraction of the NTDS.dit database or SYSTEM hive on the same host.
Detects suspicious command line activity or network interactions targeting MongoDB, characterized by the use of 'eval' combined with specific function calls (such as 'process', 'load', 'require', or constructor-chaining) indicative of attempts to escape the MongoDB JavaScript sandbox.
Detects the use of native Windows utilities (vssadmin, wmic, wbadmin, bcdedit) to delete volume shadow copies, clear backup catalogs, or disable system recovery features, which is a common behavior of ransomware before encrypting files.
Detects processes establishing persistence via Windows Registry 'Run' keys followed by frequent outbound network connections over non-standard ports. This behavior is consistent with the SystemBC/Coroxy SOCKS5 proxy backdoor often utilized by ransomware actors like Ryuk, Conti, BlackBasta, Play, and Rhysida.
Detects persistence mechanisms used by The Gentlemen ransomware, specifically the creation of malicious scheduled tasks (UpdateUser, UpdateSystem, or gentlemen_system) and modification of registry Run keys (GupdateS or GupdateU). The rule also monitors for the presence of the operator password string 'G7Vz9eyG' within command line arguments.
Detects lateral movement activities associated with The Gentlemen ransomware group. The rule monitors for the execution of PowerShell scripts named 'deploy_gpo.ps1' from the %TEMP% directory, PowerShell interactions with the NETLOGON share for malware distribution, creation of ScheduledTasks.xml via PowerShell (a common GPO manipulation technique), and the subsequent enforcement of policy changes using 'gpupdate /force' invoked by scripting engines.
Detects the creation of hidden administrative shares (ending in $) mapped to local directories (e.g., C:\Temp) with unrestricted 'Everyone' or 'ANONYMOUS LOGON' permissions. This technique is used by the Gentlemen ransomware to stage malicious binaries for lateral movement and subsequent encryption across the network. The rule monitors for 'net share' commands with specific permission grants, 'icacls' operations modifying access for anonymous users, and registry changes to 'NullSessionShares' configurations.
Detects the execution of Nova ransomware (formerly RALord) by monitoring for its specific modular command-line interface arguments, which include file encryption commands, ransom note deployment, and specific ransom note filenames. The rule monitors process creation events for strings like 'encrypt-all', 'encrypt-path', 'readme-add', '--workers', and the presence of the 'README_NOVA.me' ransom note or unique file extensions associated with its encryption activity.
Detects potential malicious activity where a process associated with a Claude agent (or a downloader utility) references a 'SKILL.md' configuration file. This behavior is indicative of a poisoned skill file being used to trigger unauthorized payload downloads or re-establish persistence.
Detects execution of remote payloads by piping the output of network utilities like curl or wget directly into a shell interpreter (bash, sh, zsh). This pattern is a common technique used by attackers to execute malicious scripts directly from a remote server without saving a file to disk.
Detects the modification or creation of a 'loginwindow.plist' file within the '/Library/LaunchAgents/' directory, correlated with a process containing 'renderer' and 'launchctl' or 'LaunchAgents' in its command line. This pattern suggests potential persistence mechanisms being established by a renderer process (e.g., an Electron-based application or browser process).
Detects suspicious activities associated with ysoserial.net gadget chain exploitation targeting SharePoint's w3wp.exe process. The rule correlates the loading of specific .NET assemblies (PresentationFramework, System.Xaml, System.Data.Services) with the subsequent execution of command shells (cmd, powershell) or the presence of common ysoserial.net-related strings (ActivitySurrogateSelector, LosFormatter) within command lines originating from the w3wp.exe process, indicating a potential web shell.
Detects persistence establishment for the NetSupport Manager remote access tool (client32.exe) via common Windows techniques including registry run keys, Winlogon configuration, service creation, and scheduled tasks. This activity is often associated with the abuse of legitimate RMM software as a covert remote access implant, frequently following initial access via PowerShell or script-based loaders.
Detects AI coding assistants and LLM agent frameworks attempting to access, read, or export sensitive credential files, registry hives, or application secrets. The rule monitors both file system operations on known secret locations and process execution patterns indicative of credential dumping or API token retrieval by these tools.
Detects anomalous behavioral patterns where an AI agent process (e.g., Claude Code, Cursor, Aider) performs multi-category discovery of its own runtime environment, plugins, and host configuration. The rule identifies agents that trigger processes spanning at least three distinct discovery categories (Network, File/Plugin, Software, or System) within a short timeframe, indicating potential reconnaissance of agent-authorized capabilities and tools rather than standard host exploration. Covers T1082, T1518, T1083, T1016
Detects rapid, multi-category system and network enumeration performed by AI-assisted development tools (e.g., Cursor, Claude, ChatGPT). The rule triggers when an AI agent process performs a comprehensive scan of the host environment, specifically covering machine/OS identity, network configuration, process listings, installed software, and access to sensitive credential files within a 10-minute window. It requires at least 5 distinct discovery categories and 6 total events to reduce noise from routine debugging. Covers T1082, T1016, T1057, T1518
Page 77 of 976


