Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
7,276 detections
Filters
Last updated
All Time
Detection languages
3,348
1,086
505
478
472
Contributors
1,824
1,622
874
505
300
Categories
3,034
2,545
1,076
1,051
932
Platforms
39,970
7,276
6,539
3,868
3,652
Products / Services
1,331
1,114
992
658
494
MITRE Techniques
2,273
1,337
1,319
905
886
CVEs
66
65
33
32
28
IDS Classtypes
81
80
56
27
10
IDS Protocols
149
98
6
5
4
Detects unauthorized processes attempting to access or perform operations on sensitive files such as browser credentials, SSH keys, crypto wallets, and password manager databases. The rule specifically looks for non-standard or unsigned processes interacting with a high volume of these files in a short time frame, which is indicative of credential harvesting by infostealer malware like Lumma, Redline, or Vidar.
Detects outbound network connections from workstations or servers to common message broker ports (MQTT 1883/8883, AMQP 5672). These protocols are sometimes abused for command-and-control (C2) communication, as they allow for pub/sub messaging patterns that can blend into legitimate network traffic.
Detects anomalous behavior associated with the PHP 8.5.7 SOAP remote code execution (RCE) vulnerability. The detection monitors for PHP/PHP-FPM processes spawning suspicious child processes (e.g., shell, python, powershell), the creation of specific exploitation marker files (e.g., php857_rce, rpoc.php), and suspicious command-line patterns indicative of payload execution or command-based exploitation techniques.
Detects web server processes (e.g., httpd, nginx) spawning common shell interpreters (sh, bash, cmd.exe) that execute suspicious commands often used in reconnaissance or download stages of an attack, such as 'whoami', 'wget', or 'curl'. This behavior is characteristic of an exploited web application being used as a staging or command-and-control pivot point.
Detects malicious node.exe processes engaging in system, user, process, or network discovery behaviors. This behavior is indicative of malicious npm packages, such as those seen in the Polymarket Trap, Miasma, or MYRA campaigns, which perform reconnaissance before attempting credential exfiltration.
Detects indicators of the MYRA rootkit, specifically the creation of a hidden shared library in /usr/local/lib/, persistence via a shell script in /etc/profile.d/, and the execution of processes utilizing the LD_PRELOAD environment variable to load the malicious library.
Detects Node.js processes engaging in suspicious behaviors related to supply chain or second-stage attacks. This includes executing scripts from hidden .peer/ directories, accessing specific staging script filenames, and performing DNS requests or network connections to the known malicious domain data-stream.space.
Detects unauthorized access (creation, modification, renaming, or deletion) to sensitive local credential files by the Node.js runtime process (node.exe/node). This behavior is indicative of infostealers, specifically noted in the Miasma/MYRA activity associated with the Polymarket Trap campaign, where malicious packages attempt to exfiltrate AWS, SSH, NPM, Python, Docker, and GPG credentials.
This rule detects the installation and execution of malicious typosquatted npm packages associated with the Polymarket Trap campaign. It monitors for the creation of specific directory names within node_modules, npm install commands referencing these package names, and network activity or DNS lookups to 'log-taker' infrastructure from Node.js processes.
Detects the compilation or execution of the Exploitarium Nmap IPv6 ExtLen Wrap Proof-of-Concept harness. This detection monitors for the direct execution of known binary names and the g++ compilation process involving these specific source files.
This rule detects the creation or modification of files that contain common certificate-related keywords such as 'crl', 'certificate', or 'pem'. This activity could indicate the deployment of new certificates, which might be legitimate or malicious, such as for establishing command and control, code signing, or evading detection.
This rule detects processes such as Node.js, npm, or Python accessing sensitive command-line history files including .bash_history, .zsh_history, .fish_history, or ConsoleHost_history.txt. Accessing these files, which often contain credentials or command execution history, is a common indicator of credential harvesting or post-exploitation reconnaissance.
Detects the creation or manipulation of the 'troot' root-privileged backdoor account on Cisco Catalyst SD-WAN controllers, associated with the UAT-8616 exploit chain. The rule monitors for direct modification of /etc/passwd or /etc/shadow files, usage of useradd, grep operations on passwd files, and execution of su to the troot account.
Detects Node.js executing the malicious setup.cjs script with the --no-warnings flag. This execution sequence is associated with the easy-day-js typosquat postinstall hook used in the Mastra npm supply chain compromise.
Detects file creation or modification events targeting sensitive cloud credential storage locations, such as AWS credentials files, Azure configurations, and Google Cloud credentials databases. The rule filters out known legitimate CLI tools, flagging potential unauthorized access or exfiltration of cloud credentials by other processes.
Detects file creation or modification events targeting sensitive cloud credential storage locations, such as AWS credentials files, Azure configurations, and Google Cloud credentials databases. The rule filters out known legitimate CLI tools, flagging potential unauthorized access or exfiltration of cloud credentials by other processes.
This rule detects network activity associated with the StealC information stealer, specifically focusing on HTTP POST requests made to known command-and-control (C2) domains. It identifies characteristic URL patterns, such as randomly generated 16-character PHP files or specific index.php structures, which are used for bot registration and communication. The detection includes patterns indicative of RC4-encrypted payloads and behavior mimicking Amadey bot status checks.
Detects potential exploitation of CVE-2026-8461 (PixelSmash) where an attacker hijacks the AVBuffer.free function pointer in media processing software (ffmpeg, ffprobe, etc.) to trigger arbitrary code execution via a spawned shell process.
Detects the creation of a hidden shell script file at '/etc/profile.d/.sh.local', a common persistence mechanism used by the MYRA RAT. This file is automatically executed by POSIX-compliant shells during the login process to maintain persistence on Linux systems.
Detects automated lateral movement attempts using sshpass to perform password spraying or authentication against PeopleSoft-related service accounts (psoft, oracle, linuxadm). The rule specifically flags the use of sshpass with lax security settings (StrictHostKeyChecking=no), identifying a pattern associated with the uon_fanout.sh post-exploitation script.
This rule detects a high frequency of successful network connections from a single device to multiple unique destination IP addresses within a one-hour window. The targeted ports (445, 139, 3389, 22, 21) are commonly used for remote administrative access, file transfers, and remote shell services, which are frequently leveraged by adversaries for lateral movement. The threshold of 3 unique targets in an hour may indicate automated scanning or credential brute-forcing activity across the network.
Page 213 of 347