Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
5,156 detections
Filters
Last updated
All Time
Detection languages
2,302
1,070
640
289
288
Contributors
918
814
769
696
224
Categories
20,456
11,839
5,877
5,156
4,865
Platforms
2,859
2,017
816
524
213
Products / Services
1,337
1,144
831
576
366
MITRE Techniques
1,823
1,307
787
747
577
CVEs
9
7
7
6
6
IDS Classtypes
538
151
101
57
48
IDS Protocols
375
373
132
64
42
This rule set detects various activities associated with the Dohdoor malware campaign (UAT-10027). It includes detection for known malware hashes, suspicious network communication patterns such as DNS over HTTPS (DoH) to Cloudflare with specific user agents, staging URL patterns, and odd-cased infrastructure domains. Additionally, it identifies endpoint activities like curl downloading batch/command files and DLL sideloading attempts using specific DLL names and LOLBins executed from common public writeable directories. The intent is to provide strong leads for investigation into potential Dohdoor infections.
Detects activity related to OpenClaw (aka Clawdbot or Moltbot) by searching for specific process command line strings, file path keywords, network listeners on port 18789, or scheduled tasks named 'OpenClaw'.
This rule detects activity associated with a specific threat actor targeting FortiGate devices. It identifies network connections to known threat actor infrastructure IPs, attempts to access FortiGate management ports (443, 8443, 10443, 4443) over TCP, and successful administrative or VPN authentications from the threat actor's IPs in Fortinet/FortiGate logs. Additionally, it looks for DCSync-style directory replication access (event ID 4662) in Windows Security logs, indicating potential Active Directory compromise.
This rule detects activity associated with a developer-targeting campaign leveraging malicious Next.js repositories. It identifies suspicious network connections to known Vercel staging domains and C2 IPs/ports/paths, as well as suspicious process execution patterns involving Node.js or VS Code related processes, and file events related to specific repository artifacts or sensitive file access by developer-adjacent processes. The detection logic covers network communication, process execution, and file system activities indicative of this specific threat.
This rule detects attempts to transfer tools or other files between systems in a compromised environment using common utilities like scp, rsync, wget, or curl. This rule should be used for hunting in your environment.
This rule detects activity related to the EmEditor watering hole attack, specifically looking for PowerShell execution making requests to known malicious lookalike domains and network connections to the associated infrastructure. A match suggests a potential download of malicious code during what appeared to be a legitimate install or update. Investigation should focus on identifying the host, user, source of activity, and legitimacy of the install source, followed by evidence preservation, credential reset, and a search for follow-up malicious activity.
This rule detects suspicious activity related to WebView2 processes interacting with AI webchat domains, potentially indicating covert command and control (C2) proxying or other malicious use. It looks for WebView2 traffic to specific AI domains (Grok, Copilot) originating from unusual parent processes, WebView2 access to Grok with URL parameter-driven prompt execution, and suspicious child process execution (cmd.exe, powershell.exe, calc.exe) where WebView2 is the parent process.
This rule detects various indicators associated with a developer-targeting campaign, including Node.js fetching remote JavaScript from untrusted PaaS domains, dynamic loader behavior in next.config.js, repeated beaconing to C2 paths, detached child Node interpreters, directory enumeration and exfiltration behavior, and suspicious access to sensitive files on developer machines.
This rule detects suspicious network connections to known threat actor infrastructure associated with FortiGate exploitation, successful administrative or VPN logins to FortiGate devices from these IPs, and DCSync-style directory replication access (EventCode 4662) on Windows systems. The rule is composed of three distinct parts targeting different aspects of the attack chain.
Detects network connections to known Command and Control (C2) infrastructure associated with the APT37 Ruby Jumper campaign. This includes the C2 IP address for the FOOTWINE backdoor and the Zoho WorkDrive Client ID used by the RESTLEAF implant for exfiltration.
This rule detects activity associated with UNC6201 exploiting Dell RecoverPoint VM (CVE-2026-22769), which involves the SLAYSTYLE/BRICKSTORM/GRIMBOLT malware. It identifies attempts to deploy WAR files via Tomcat Manager, suspicious WAR file uploads or modifications in Tomcat directories on Linux appliances, modifications to a persistence script named 'convert_hosts.sh', network communication with a GRIMBOLT C2 endpoint (149.248.11.71), and specific file hashes linked to the threat actor.
This rule detects phishing attempts related to a Booking.com campaign. It identifies suspicious URLs containing 'op_token' or 'tpo_token' parameters, often combined with paths like 'complaint' or 'reserv', on non-Booking.com domains. It specifically looks for punycode domains (e.g., 'xn--*'), lookalike domains (e.g., '*booklng*', '*mgmnt*', '*portal*'), and specific high-signal punycode domains identified in reports. The rule also includes a pattern for partner kit redirect URLs with 'tpo_token' on 'booklng' subdomains. Additionally, it suggests looking for specific email patterns from Gmail senders with subjects like 'Automatic reply', 'Availability', or 'Reservation' that contain embedded URLs matching 'complaint?op_token='.
This rule identifies network connections or BITS transfer jobs targeting specific IP addresses and URLs associated with recent ClickFix campaigns. It also detects the use of system utilities like bitsadmin.exe and powershell.exe to download files, a common tactic for these threats.
This rule identifies various activities associated with the Dohdoor malware campaign, combining multiple detection heuristics into a single result set. It looks for PowerShell executing curl to download batch scripts, copied Windows tools run from shared folders with unusual arguments, suspicious DLL loads from shared folders, and network connections to C2-style domains identified in the campaign.
This rule detects various stages of an attack chain, starting from an Apache ActiveMQ exploit (CVE-2023-46604) leading to LockBit-style ransomware. It identifies process creation anomalies (java.exe spawning certutil.exe for downloads), network connections to known Metasploit C2 infrastructure, the presence of specific ransomware file hashes, and attempts to clear Windows event logs, all indicative of the described attack scenario.
Detects `msedgewebview2.exe` connecting to Grok/Copilot when the parent is not a browser/Office app, matching the AI-in-the-middle C2 proxy technique.
This rule detects activities associated with the XWorm LATAM campaign. It identifies network indicators such as specific C2 domains (jholycf100.ddns.com.br, voulerlivros.com.br, res.cloudinary.com), a specific IP address (152.249.17.145), and a destination port (7000). It also looks for the abuse of CasPol.exe making outbound connections to the identified C2 infrastructure. Furthermore, the rule detects PowerShell processes spawned by WMI (WmiPrvSE.exe) that attempt to fetch content from Cloudinary and load assemblies in memory, indicating potential in-memory execution. Finally, it includes a specific SHA256 file hash (7befeacf0b3480fb675d0cab7767b5b9697edc9d0e05982025a06ead0054afd5) associated with the campaign.
This rule detects various stages of the CastleLoader malware activity, including C2 communication, process hollowing using AutoIt and jsc.exe, and known malware hashes. It correlates network traffic to a specific C2 server, identifies suspicious process creation patterns where AutoIt launches jsc.exe, and sweeps for known SHA256 hashes associated with CastleLoader.
This rule detects indicators associated with the RenEngine campaign, which involves the deployment of HijackLoader, Lumma Stealer, and ACR Stealer. Detection is based on specific MD5 hashes of known malicious files, filenames used in the campaign, and command and control (C2) domains identified as part of the infrastructure.
This rule detects a potential quishing (QR code phishing) attack followed by a suspicious successful sign-in to Entra ID (formerly Azure AD). It correlates URL click events or device network events containing deep link indicators (like 'tg://login', 'wa.me/settings/linked_devices', 'signal://', 'line://') or '.apk' file downloads with a successful Entra ID sign-in by the same user within a 30-minute window. This behavior suggests a user may have scanned a malicious QR code, clicked a phishing link, or downloaded a malicious application, leading to a successful but potentially compromised authentication.
This rule detects activity associated with the DYNOWIPER malware, identified by specific SHA256 hashes on endpoint telemetry or by network connections to known command and control (C2) IP addresses. The rule is split into two parts: one for endpoint detection based on file hashes and another for network/authentication logs based on IP addresses.
Page 190 of 246