Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
7,276 detections
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Detects the use of database or archiving command-line utilities to export data related to RADIUS services. The rule filters out known backup service accounts and authorized backup processes, flagging activity that occurs outside of standard business hours or is performed by accounts not explicitly designated for administrative or database maintenance tasks.
This rule detects modifications or creation of the SSH 'authorized_keys' file, often used to establish unauthorized persistent access via SSH key-based authentication. It monitors both file system changes and command-line execution patterns involving SSH key injection commands (e.g., echo, cat, redirection) while filtering out known management agent activity.
Detects SSH persistence planted during the Red Heron campaign: authorized_keys file writes under a .ssh folder, correlated with process command lines referencing authorized_keys and the operator's observed key comment naming pattern (backdoor / root-shell).
Detects access to Gitea secrets and configuration (app.ini, JWT secrets, SSH host keys, deploy keys) via file writes/renames or process command lines referencing those paths alongside Gitea, matching the secret-extraction tradecraft observed in the Red Heron campaign.
Detects access to Gitea secrets and configuration (app.ini, JWT secrets, SSH host keys, deploy keys) via file writes/renames or process command lines referencing those paths alongside Gitea, matching the secret-extraction tradecraft observed in the Red Heron campaign.
Detects network requests to the Gitea Prometheus metrics API that contain 'k=' and 'x=' query parameters, a pattern indicative of a C2 command channel disguised as legitimate telemetry traffic.
Detects network requests to the Gitea Prometheus metrics API that contain 'k=' and 'x=' query parameters, a pattern indicative of a C2 command channel disguised as legitimate telemetry traffic.
Detects HTTP POST requests to a Gitea repository's diffpatch API endpoint whose body contains both a real git diff header and the malicious 'hooks/post-index-change' file path used by the CVE-2026-60004 exploit chain to plant an executable Git hook via an add/add merge collision.
Detects HTTP POST requests to a Gitea repository's diffpatch API endpoint whose body contains both a real git diff header and the malicious 'hooks/post-index-change' file path used by the CVE-2026-60004 exploit chain to plant an executable Git hook via an add/add merge collision.
Identifies instances of Google Chrome running on endpoints with version numbers below the threshold patched for CVE-2026-85046. This detection focuses on specific build numbers (e.g., 152.0.7977.82 for Windows/Linux) to identify potentially vulnerable browser installations in the environment.
Detects the execution of 'bun' during a Node.js package installation process (npm or node). This behavior can be indicative of a supply chain attack where malicious actors attempt to leverage alternative runtimes during the 'preinstall' phase or package installation to execute arbitrary code or bypass security controls typically associated with standard Node.js installations.
Detects the creation of PHP files within the 'wp-content/uploads/elementor/forms/' directory of a WordPress installation. This behavior is highly suspicious as it often indicates an attempt by an attacker to deploy a web shell or other malicious script following successful exploitation of the Elementor plugin, which allows for arbitrary file uploads.
This rule detects suspicious process execution originating from web server applications (e.g., php-fpm, apache2, nginx). It looks for common shell interpreters or command-line utilities (e.g., bash, curl, python) triggered by these web server processes when they contain command execution function strings in their command lines (e.g., system, shell_exec, passthru), which is a common indicator of web shell activity or post-exploitation command execution.
This rule detects administrative SQL statements (ALTER ROLE, CREATE ROLE, or GRANT) that assign the REPLICATION attribute to a database role. The REPLICATION attribute in PostgreSQL allows a user to initiate streaming replication and perform logical decoding. This is a security-sensitive privilege, as users with this attribute can potentially bypass standard access controls or, if the environment is misconfigured or vulnerable (e.g., CVE-2026-6471), potentially leverage malicious replication plugins to achieve arbitrary code execution.
This rule monitors Syslog entries for PostgreSQL 'CREATE_REPLICATION_SLOT' commands to identify potential exploitation attempts associated with CVE-2026-6471. It detects attempts to load logical decoding plugins using suspicious path structures, including path traversal sequences ('../', '..\'), absolute paths, or UNC paths, which are not present in a known-good allowlist of plugins.
Detects anomalous activity originating from PostgreSQL processes, including the spawning of shells (cmd, powershell, sh, bash), access to sensitive files (e.g., /etc/shadow, SSH keys), and file creation outside the standard PostgreSQL data directories, which is consistent with the abuse of SQL functionality like pg_read_file() or lo_export().
This rule detects modifications to the PostgreSQL authentication configuration file (pg_hba.conf), which controls client authentication. It also identifies replication connection requests from source IP addresses that have not been observed in the previous 7 days, indicating a potential attempt to exfiltrate database data via unauthorized replication.
KQL Query from file: postgresql-replication-account-escalated-to-superuser-cve-2026-6471.kql
This rule detects potential command and control (C2) activity associated with the CurlRAT malware. It monitors for both the execution of 'curl' or 'curl.exe' processes with command lines containing known C2 domains, and network traffic originating from internal devices directed toward those same domains.
Detects the creation or modification of a specific file ('libvirtlog.so.0') located in '/usr/lib/' which acts as a gating mechanism for the curlRAT malware. The detection correlates this file event with processes commonly associated with system management that are executing with command line arguments indicative of malicious activity (e.g., 'reverse', 'pty').
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.
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