Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects unexpected child process execution (php, bash, sh) by web server processes (php-fpm, apache, nginx) while accessing specific Magento application directories (var/report, var/log/system.log) or parameters often associated with the StyleSmuggler exploitation technique, indicating potential Remote Code Execution.
Detects a PHP TypeError in Magento system logs where array_merge() is called with an integer argument following an include statement. This signature is indicative of exploitation attempts targeting Magento sites using the StyleSmuggler vulnerability, which often involves malicious file inclusion and code execution.
Detects evidence of persistence mechanisms associated with the StyleSmuggler implant. The rule monitors for malicious crontab entries and file system activity related to gvfsd-user, .gvfsd, and /tmp/.kw_ artifacts.
Detects processes named 'kworker' (in bracket notation) that are not initiated by the legitimate 'kthreadd' parent process, which is indicative of a process masquerading as a kernel worker thread. Legitimate kworker processes are kernel threads managed by kthreadd. Processes masquerading as these can be used by malware to hide in plain sight.
This rule detects a high volume of inbound network connection attempts to the default Redis port (6379) originating from local loopback or local host addresses, excluding known legitimate Redis and web server processes. This activity is indicative of potential unauthorized access attempts or exploitation of local Redis instances.
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 anomalous outbound network connections from the Grafana MCP (Model Context Protocol) server process to internal private IP address ranges. The rule compares current network activity against a 14-day baseline to filter out known data sources, identifying potentially unauthorized lateral movement or internal network probing via server-side request forgery (SSRF) vulnerabilities.
KQL Query from file: cve-2026-19516-ssrf-exploitation-attempt-against-mcp-grafana-100.kql
KQL Query from file: grafana-mcp-server-mediated-probing-of-internal-ip-ranges-lateral-movement.kql
This rule detects the execution of specific DLP-related shell scripts (dlp.sh, dlp-docker.sh) being invoked by Terraform processes. This pattern may indicate suspicious automated infrastructure configuration or an attempt to bypass security controls by leveraging IaC tools to execute scripts.
Detects the presence of a specific sentinel string 'data.external.telemetry' within Terraform provisioner job logs, which indicates the execution of unauthorized data-collection logic within a compromised or backdoored Terraform module.
This rule detects attempts by users to disable or clear command line history logs for shell environments, including PowerShell (e.g., modifying PSReadLine history) and Unix-like shells (e.g., unset HISTFILE, setting HISTSIZE to 0, or disabling history collection). Such actions are frequently performed by adversaries to hinder incident response and forensic analysis by obscuring their post-exploitation activity.
Detects the execution of a reverse shell on Linux systems utilizing a common technique involving mkfifo (named pipe) to redirect input/output for a shell session to a netcat network connection. This is often used by attackers to gain interactive remote access to a compromised host.
Detects rapid, repeated execution of process control utilities (kill, strace, inotifywait, timeout) directed at monitored processes, often used by malware (such as 'redtail') to disable security monitoring, debugging, or auditing tools on Linux systems.
Detects a suspicious sequence of events involving the execution of 'setup.sh', the subsequent creation of a hidden file in temporary directories, and the deletion of specific architecture-named files (redtail.*). This behavior is indicative of a malware loader or droppers attempting to install and then remove traces of its components.
Detects instances where a RedTail malware variant enumerates processes via the /proc filesystem to identify and terminate previous instances of itself using a kill signal.
Detects anomalous SSH sessions originating from potentially suspicious IP addresses that utilize an 'SSH-2.0-Go' banner and immediately perform file creation operations associated with the RedTail botnet (e.g., shell scripts or architecture-specific binaries).
Detects anomalous activity patterns consistent with automated firmware reverse engineering pipelines, specifically correlating the high-frequency execution of firmware analysis tools (e.g., binwalk, Ghidra) with the creation of vulnerability research knowledge base artifacts. This behavioral heuristic aims to identify potential AI-driven or automated zero-day discovery workflows by tracking tool usage density and output characteristics.
This rule detects unauthorized or suspicious automated scraping behavior by identifying periodic, non-interactive tasks that perform high-volume outbound network requests to multiple external hosts. It specifically filters for processes launched via scheduling mechanisms (Task Scheduler, cron) that exhibit indicators of anti-bot or proxy-rotation bypass techniques (such as usage of headless browser tools or proxy-related keywords in command lines). The rule is tuned to ignore legitimate system maintenance, update, and monitoring processes.
This rule detects potential Server-Side Request Forgery (SSRF) activity where web application or runtime processes attempt to access the Cloud Instance Metadata Service (IMDS) or container task metadata endpoints. By monitoring network connections and application logs, the rule filters out known legitimate metadata clients and identifies suspicious processes frequently associated with web-based vulnerabilities that are repeatedly querying sensitive metadata paths.
Rileva l'esecuzione di un binario denominato acpid da un percorso diverso da /usr/sbin/acpid, tecnica di masquerading osservata in toolkit di persistenza Linux.
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