Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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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 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.
KQL Query from file: repeated-unauthenticated-post-to-elementor-pro-forms-endpoint-cve-2026-32475-pr.kql
Detects the initialization of PostgreSQL logical replication slots using uncommon or unrecognized output plugins. Attackers may leverage logical replication plugins to exfiltrate data from a database by streaming changes as they occur, which can be an alternative to traditional mass-export techniques.
This rule detects network communication (via DNS queries, web logs, or device network events) with a list of known malicious domains associated with Command and Control (C2) activity.
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().
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 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.
Detects the 'ted' backdoor or similar malicious activity attempting to manipulate HAProxy's internal connection counters by accessing or writing to the HAProxy process memory (/proc/[pid]/mem or /proc/self/mem). This behavior is characteristic of an attempt to evade backend logging and statistics tracking by directly modifying process memory structures.
This rule detects the presence of specific file hashes known to be associated with backdoored software builds, specifically related to recent supply chain compromises affecting South Korean software vendors (e.g., HAProxy builds). It monitors device file events, process initiation, and identity logon events to identify systems that have deployed, executed, or been accessed by these malicious binaries.
Detects requests to a LiteLLM proxy that have been assigned the 'PROXY_ADMIN' role despite the absence of valid authentication credentials (Authorization headers, JWT tokens, or OAuth2 tokens). This pattern typically indicates that the LiteLLM instance is misconfigured, specifically that a 'master_key' is missing, causing the proxy to default to a permissive mode where every request is treated as having administrative privileges.
Detects instances where a LiteLLM proxy is utilized to invoke sensitive Model Context Protocol (MCP) tools (e.g., database, github, slack, jira, ci/cd) while authentication is bypassed ('allow_all_keys=true') and no explicit API key is provided. This indicates a potential unauthorized access attempt to sensitive integrations via a misconfigured proxy.
This rule detects internal network activity (DNS queries, network connections, and security logs) communicating with domains associated with the GhostCode phishing kit. These domains are typically used to host credential harvesting pages or phishing infrastructure.
Detects execution of shell interpreters (tar, sh, bash) by the Parallels Desktop dispatcher service (prl_disp_service) or usage of compression flags containing specific markers associated with UCP/ACTOR privilege escalation patterns, specifically when executed with root privileges or by a root user.
Detects execution of shell interpreters (tar, sh, bash) by the Parallels Desktop dispatcher service (prl_disp_service) or usage of compression flags containing specific markers associated with UCP/ACTOR privilege escalation patterns, specifically when executed with root privileges or by a root user.
Detects execution of shell interpreters (tar, sh, bash) by the Parallels Desktop dispatcher service (prl_disp_service) or usage of compression flags containing specific markers associated with UCP/ACTOR privilege escalation patterns, specifically when executed with root privileges or by a root user.
Detects execution of shell interpreters (tar, sh, bash) by the Parallels Desktop dispatcher service (prl_disp_service) or usage of compression flags containing specific markers associated with UCP/ACTOR privilege escalation patterns, specifically when executed with root privileges or by a root user.
Detects interactive root shell requests via 'sudo -i' that occur shortly after a failed Parallels appliance installation or tar extraction event containing specific error codes or configuration markers (UCP_UID=0). This pattern aligns with the exploitation chain for CVE-2026-90894, where an attacker leverages an extraction failure to escalate privileges.
Detects interactive root shell requests via 'sudo -i' that occur shortly after a failed Parallels appliance installation or tar extraction event containing specific error codes or configuration markers (UCP_UID=0). This pattern aligns with the exploitation chain for CVE-2026-90894, where an attacker leverages an extraction failure to escalate privileges.
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