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 the creation, modification, or renaming of files within directories associated with GVFS (GNOME Virtual File System) or files masquerading as GVFS components. Adversaries often use these paths and file names to stage or hide malicious tools and persistence mechanisms on Linux systems.
Detects the presence of known StyleSmuggler implant binaries (noted as Rust-based implants masquerading as gvfsd-user or kworker) by matching file SHA256 hashes.
Detects the presence of the StyleSmuggler Rust-based Linux implant. The rule identifies the malicious binary by its static SHA256 hashes or a combination of indicators including masquerading as a kernel thread, utilization of gvfsd-related filenames and directories, and interaction with Redis session data.
This rule detects high-frequency account and email address enumeration attempts. It monitors syslog data for SMTP commands such as VRFY, EXPN, or RCPT TO, and analyzes Microsoft Entra ID (SigninLogs) for authentication failures specifically associated with error code 50034 (user not found). Both behaviors are indicative of an adversary attempting to validate user identities within an environment, often as a precursor to targeted phishing or brute-force attacks.
Detects network requests to unpkg.com or npmmirror for 'index.html' files directly under a package path. This behavior deviates from standard package management usage (which typically fetches tarballs or specific JavaScript modules) and is often associated with adversaries using npm packages as hosting infrastructure for phishing landing pages.
Detects HTML content that mimics Cloudflare CAPTCHA challenges to perform social engineering (ClickFix). The rule specifically identifies the combination of fake CAPTCHA UI text, connection to suspicious domains (DDR patterns), and JavaScript snippets used to fetch and execute secondary payloads or redirects.
This rule detects HTML content containing common indicators of fake Cloudflare 'Verify you are human' CAPTCHA lure pages associated with the Beamglea/ClickFix campaign. These lures often use typosquatted domains or specific API key patterns and include JavaScript code to facilitate the 'copy-and-paste' execution workflow typical of the ClickFix attack technique.
This rule detects common command-line utilities (cat, bash, sh, python, grep) being used to access the '/proc/1/environ' file. This file contains environment variables for the PID 1 process (typically the init system), which may include sensitive information such as credentials, configuration paths, or system secrets.
Detects ClickFix-style social engineering attacks where users are lured into executing obfuscated commands via terminal copy-paste. The detection monitors for the sequential execution of remote file downloads (e.g., curl, PowerShell) followed immediately by shell history-clearing commands designed to obfuscate the malicious activity. This behavior is associated with macOS crypto-drainers and loaders.
High-Entropy Subdomain AAAA Queries
Cortex XDR
Detects DNS queries using IPv6 (AAAA) records that contain high-entropy, long subdomain strings, which are indicative of DNS tunneling techniques. The rule specifically targets patterns similar to the HOLLOWGRAPH malware, which encodes data within subdomain labels to facilitate C2 communication.
Detects the use of non-standard, unusual, or potentially dangerous HTTP methods within Caddy web server logs, which may indicate reconnaissance, web application exploitation, or attempts to abuse server functionalities like WebDAV.
Detects access attempts to application/error/debug log files.
This rule detects modifications or creation of files named 'crond' in standard system paths ('/usr/bin' or '/usr/sbin') that occur within a 4-second window of an 'ssh' binary file event. This pattern is indicative of potential persistence establishment where an adversary replaces or modifies a system daemon while simultaneously interacting with SSH services.
Detects a sequence of system reconnaissance commands consistent with a Linux stager preparing to deploy a malicious cron payload. The rule identifies the combination of process enumeration (specifically targeting haproxy or cron services), privilege verification, and OS environment profiling (hostname, kernel, or distribution details) occurring within a single execution context.
Detects the use of common Linux command-line utilities (sed, grep, awk, bash, sh) to perform operations on sensitive system logs or shell history files. The rule targets command strings indicative of log modification, filtering, or removal of audit trails, often associated with an attacker attempting to conceal malicious activity.
This rule detects potential exploitation or unauthorized interaction with an HAProxy service. It correlates process execution on Linux systems involving the HAProxy PID file with subsequent network traffic containing the suspicious string 'writeservice_info' within a one-hour window.
Detects the specific execution pattern associated with CurlRAT, where common Linux daemons (crond, atd, agetty, polkitd) perform an outbound network connection and subsequently spawn an interactive shell (sh, bash, dash) as the root user within a 5-minute window.
Detects instances where common web server applications (e.g., Apache, Tomcat, IIS, Nginx) or Java runtime environments spawn suspicious child processes like command shells (cmd.exe, powershell.exe, sh, bash) or network utilities (wget, curl). This behavior often indicates exploitation of a web vulnerability, such as Remote Code Execution (RCE), allowing an adversary to execute commands or download further malicious payloads.
Detects the CurlRAT malware interactive shell behavior where legitimate Linux system daemons (atd, crond, agetty, polkitd) are trojanized or abused to execute shell commands with attacker-supplied network endpoints (IP:Port).
Detects potential exploitation of PostgreSQL via logical decoding plugins, specifically targeting CVE-2026-6471. The rule monitors for the PostgreSQL server process spawning suspicious shell utilities or loading modules from locations outside of the expected PostgreSQL library or plugin directories, which is a common indicator of unauthorized code execution.
This rule monitors the software inventory for outdated versions of the PostgreSQL database server. It identifies installations where the major and minor versions are below the threshold for current security releases (e.g., v18 < 6, v17 < 11, v16 < 15, v15 < 19, v14 < 24). Running outdated software increases the risk of exploitation of known vulnerabilities.
Page 140 of 347