Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
1,225 detections
Filters
Last updated
All Time
Detection languages
1,118
30
19
17
15
Contributors
391
236
131
85
62
Categories
313
252
228
185
166
Platforms
651
438
268
228
200
Products / Services
10,650
9,755
6,688
4,418
3,745
1,225
MITRE Techniques
264
259
234
217
208
CVEs
8
8
6
6
6
IDS Classtypes
2
2
1
1
1
IDS Protocols
2
1
Detects reconnaissance activities aimed at identifying c-ares library linkage using tools like ldd, readelf, and strings, or via pattern matching in files. It also monitors for the suspicious loading of cares.dll outside of expected vendor directories and the execution of specific files identified as part of a c-ares TCP use-after-free proof-of-concept.
Detects exploitation attempts against the Ray AI framework's unauthenticated /api/jobs/ endpoint (CVE-2023-48022). The rule identifies specific Python requests using a known malicious contact address ('rondo2012@atomicmail.io') and detects the delivery of fileless payloads (rondo.wfh.sh) associated with the RondoDox / ShadowRay campaign originating from known malicious infrastructure.
Detects outbound network connections to URLs containing strings associated with Qakbot (Qbot) malware infrastructure and common ports used by the malware for command-and-control communication.
Detects process executions containing sensitive keywords related to trust, certificates, and multi-factor authentication (e.g., 'mfa', '2fa', 'otp') that are not initiated by standard trusted system processes (services.exe, wininit.exe, smss.exe). This pattern is often indicative of credential manipulation, certificate harvesting, or tampering with authentication mechanisms.
This rule detects the use of common command-line utilities such as curl, certutil, and PowerShell to download files from a specific external domain ('thomphon.com') or to download a file named 'update.msi'. These activities are often associated with the staging of malicious payloads.
This rule monitors for security alerts related to Azure AI services, specifically detecting credential theft attempts and LLM jailbreak attempts that have been blocked or detected by Azure's built-in content filtering mechanisms.
This rule detects potentially malicious Wi-Fi network enumeration or profile creation using 'netsh' or 'nmcli', as well as the loading of 'wlanapi.dll' by non-standard, unauthorized processes. Such activities can indicate an attempt by an adversary to discover, connect to, or exfiltrate data via nearby wireless networks.
This rule detects network connections from internal hosts to identified C2 or phishing infrastructure associated with the threat actor group UNC1151 (also known as Ghostwriter). It monitors both host-based network events (via DeviceNetworkEvents) and centralized network security logs (via CommonSecurityLog) for traffic targeting a curated list of known malicious IP addresses.
This rule detects potential Remote Access Trojan (RAT) activity by identifying specific indicators associated with Nuitka-compiled binaries, specifically the 'chost.exe' filename or paths containing 'win-driver-xd7d'. Additionally, it monitors for suspicious Python-based loader executions ('loader.py') initiated from temporary directories, which is a common persistence or execution technique for such malware.
Detects malicious npm package propagation indicative of the Miasma/Mini Shai-Hulud worm. The rule identifies suspicious patterns in AuditLogs, specifically burst npm publishes by known malicious actors or involving known malicious package names, as well as the use of weaponized GitHub Actions workflows or unauthorized snapshot branches.
This rule detects a high frequency (3 or more within an hour) of command-line executions containing keywords like 'antivirus', 'defense', or 'endpoint' on a Windows system. This activity could indicate an adversary attempting to interact with, disable, or tamper with security software to evade detection.
Detects a rapid burst of file upload activity to cloud storage applications from a single account, including unusual proxy or device context. This rule identifies scenarios where an account performs 20 or more upload events or uploads 20 or more distinct objects within a 15-minute time window to common cloud storage services like Google Drive, Dropbox, Box, MEGA, OneDrive, or ShareFile. It also highlights if any of these uploads originate from an anonymous proxy.
Detects potential Command and Control (C2) communication associated with Emotet malware by monitoring for successful network connections to suspicious remote ports frequently used by the malware. The rule flags endpoints that establish connections to at least three of these high-risk ports within a one-hour window, which is indicative of automated C2 beaconing behavior.
Detects outbound network traffic from endpoints to known malicious IP addresses associated with Loader-as-a-Service (LaaS) campaigns. The rule monitors DeviceNetworkEvents for connections to specific indicators of compromise (IOCs) and checks for URL patterns commonly associated with file staging and malware loading (e.g., /drop, /stage, /loader).
Detects outbound email from an organizational mailbox to a common consumer email provider with multiple or large attachments. This could indicate data exfiltration or unauthorized transfer of sensitive information.
Detects remote support software being added to common user or machine Run and RunOnce registry persistence locations. This rule specifically looks for modifications or creations within the 'Run' and 'RunOnce' registry keys that contain strings associated with known remote access or management tools such as AnyDesk, Bomgar, BeyondTrust, Zoho, ScreenConnect, Splashtop, Atera, SuperOps, and TeamViewer. This activity could indicate an attacker establishing persistence on a compromised system.
Detects vLLM processes spawning common reverse shell binaries, indicating potential exploitation of CVE-2026-22778.
This rule detects potential Remote Access Trojan (RAT) activity by identifying specific indicators associated with Nuitka-compiled binaries, specifically the 'chost.exe' filename or paths containing 'win-driver-xd7d'. Additionally, it monitors for suspicious Python-based loader executions ('loader.py') initiated from temporary directories, which is a common persistence or execution technique for such malware.
This rule detects potential Remote Access Trojan (RAT) activity by identifying specific indicators associated with Nuitka-compiled binaries, specifically the 'chost.exe' filename or paths containing 'win-driver-xd7d'. Additionally, it monitors for suspicious Python-based loader executions ('loader.py') initiated from temporary directories, which is a common persistence or execution technique for such malware.
Detects bash or sh executing a fanout script from a temporary directory. This behavior is often associated with lateral movement or propagation activities by adversaries.
Detects anomalous network communication patterns and file system changes indicative of SoftEther VPN usage, particularly when linked to processes masquerading as VMware or communicating with known malicious C2 infrastructure. The rule monitors for network connections on common SoftEther ports, connections to specific command-and-control IP addresses, and the creation of SoftEther configuration files like 'hamcore.se2' or 'vpn_bridge.config'.
Page 41 of 59