Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
40,050 detections
Filters
Last updated
All Time
Detection languages
15,351
13,598
2,797
1,803
1,721
Contributors
7,678
5,999
5,315
4,504
4,191
Categories
18,108
9,756
3,849
3,756
3,712
Platforms
40,050
7,323
6,542
3,904
3,663
Products / Services
10,434
9,678
6,723
1,887
1,878
MITRE Techniques
13,737
13,115
8,065
5,949
4,414
CVEs
49
45
30
30
29
IDS Classtypes
214
56
43
23
19
IDS Protocols
183
172
20
16
8
Detects modifications to the Windows UserInitMprLogonScript registry value. This registry entry allows the execution of a logon script whenever a user logs into the system. Adversaries can abuse this mechanism to achieve persistence by pointing this value to a malicious executable or script, such as 'SoftManager.exe' in this specific detection context.
Detects the creation of a Windows service named 'WpnUserHost' or the modification of its registry configuration where the binary path does not reside within the System32 directory. This behavior is indicative of a potential attempt to masquerade a malicious service or achieve persistence using a legitimate-sounding service name.
This rule detects attempts by users to disable or clear command line history logs for shell environments, including PowerShell (e.g., modifying PSReadLine history) and Unix-like shells (e.g., unset HISTFILE, setting HISTSIZE to 0, or disabling history collection). Such actions are frequently performed by adversaries to hinder incident response and forensic analysis by obscuring their post-exploitation activity.
Detects the creation, modification, or renaming of unsigned executable files (.exe, .dll, .sys, .efi) within critical Windows system directories (System32, SysWOW64, drivers, boot). The rule excludes activity triggered by known trusted OS update processes, such as TrustedInstaller or Windows Update services, and optionally flags occurrences outside defined maintenance windows.
Detects high-frequency file creation, modification, or renaming activity involving files with the specific '.df_win' extension, likely indicative of mass encryption activity or automated ransomware behavior. The rule excludes known backup and security software processes to reduce noise.
Detects unauthorized processes accessing sensitive web browser files (login data, cookies, local state) from suspicious or non-standard paths. This is a common behavioral pattern for infostealers attempting to exfiltrate user credentials and browser session tokens.
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 execution of known Windows update-related binaries (UpdateAssistant.exe or AppUpdateHelper.exe) from non-standard, suspicious locations within AppData directories. This behavior is indicative of masquerading, where an adversary attempts to blend in by using a legitimate process name from an unexpected path.
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 rundll32.exe is executed by a process named 'eld0.exe' residing in user-writable or temporary directories (e.g., Users, ProgramData, Temp, AppData). This behavior is characteristic of execution flow hijacking or malicious payload loading from suspicious file paths.
Detects anomalous system reconnaissance activity performed using WMIC or PowerShell Get-WmiObject commands. The rule tracks distinct command-line executions per device and flags hosts where three or more unique reconnaissance commands are executed within a short timeframe, which is indicative of an adversary enumerating system configuration, hotfixes, or hardware details.
Detects the loading of WMI-related DLLs (wbemcomn.dll, wbemprox.dll) by processes that are commonly abused to proxy execution (LOLBins) such as certutil, mshta, or office applications. This behavior is often associated with WMI-based persistence or execution techniques.
Detects the suspicious execution of cmd.exe with piped stdio handles (indicative of a reverse shell) initiated by non-standard parent processes associated with the GRAYRABBIT malware, correlated with an immediate outbound network connection from the same process.
Detects anomalous activity patterns consistent with automated firmware reverse engineering pipelines, specifically correlating the high-frequency execution of firmware analysis tools (e.g., binwalk, Ghidra) with the creation of vulnerability research knowledge base artifacts. This behavioral heuristic aims to identify potential AI-driven or automated zero-day discovery workflows by tracking tool usage density and output characteristics.
This rule detects potential automated web scraping activity by identifying high-volume, repetitive network requests directed towards domains identified as government (.gov) or military (.mil). It correlates these network patterns with the execution of common browser automation frameworks (e.g., Puppeteer, Playwright) or headless browsers, indicating a likely coordinated scraping operation or bot activity.
This rule detects unauthorized or suspicious automated scraping behavior by identifying periodic, non-interactive tasks that perform high-volume outbound network requests to multiple external hosts. It specifically filters for processes launched via scheduling mechanisms (Task Scheduler, cron) that exhibit indicators of anti-bot or proxy-rotation bypass techniques (such as usage of headless browser tools or proxy-related keywords in command lines). The rule is tuned to ignore legitimate system maintenance, update, and monitoring processes.
This rule detects potential Server-Side Request Forgery (SSRF) activity where web application or runtime processes attempt to access the Cloud Instance Metadata Service (IMDS) or container task metadata endpoints. By monitoring network connections and application logs, the rule filters out known legitimate metadata clients and identifies suspicious processes frequently associated with web-based vulnerabilities that are repeatedly querying sensitive metadata paths.
Detects Ruby source files containing a hardcoded RubyGems API key (rubygems_ prefixed token) used for unauthorized gem publish/push actions, as seen in the yardxabc889 package from the GemStuffer campaign
Detects Ruby source files containing a hardcoded RubyGems API key (rubygems_ prefixed token) used for unauthorized gem publish/push actions, as seen in the yardxabc889 package from the GemStuffer campaign
Detects the ShieldCrash CVE-2026-69414 exploit PoC binary/PDB via multiple corroborating distinguishing strings and file size
This rule detects the creation, modification, or renaming of 'ntdll.dll' within a specific directory path matching the pattern 'ShieldCrash_{GUID}'. This pattern is indicative of potential malicious activity, such as the use of NTFS Alternate Data Streams (ADS) for persistence or execution evasion. The rule explicitly excludes known legitimate system processes that may handle DLL files to minimize noise.
Page 430 of 1908