Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
7,270 detections
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Detects instances where AI-assisted development tools (such as Claude, Codex, Copilot, or Gemini) initiate command-line processes (e.g., shells, interpreters, or network utilities) with arguments indicative of credential access, reconnaissance, or sensitive file interactions.
This rule detects Terraform CLI activity interacting with suspicious domains or modules, specifically targeting known repositories or namespaces (e.g., gocommunity.io, gogets.dev). It monitors for Terraform initialization or application patterns referencing these domains in process command lines, as well as the creation of Terraform provider files within these specific namespaces. This behavior is indicative of potential supply chain compromise involving malicious Terraform modules or dependencies.
Detects the creation or modification of scheduled tasks (cron jobs) located within web application log directories (e.g., JBoss, Tomcat, Wildfly) that exhibit behavior consistent with malicious file reinjection. This rule correlates suspicious cron activity with recurring modifications to sensitive web files (e.g., JS bundles, checkout pages), indicating persistent skimmer activity that survives redeployment.
Detects the on-disk presence of a malicious Firefox browser extension, 'pdf-para-texto@extensao.local', used for credential or data harvesting. The rule monitors for the creation of its manifest file or XPI package in specific directories, indicating the staging or installation of the malicious extension.
Detects network communication to specific Gusercontent endpoints consistent with malicious browser extensions exfiltrating captured session tokens or cookies. The rule monitors for POST requests containing parameters like leadId, email, and data, often used to transmit stolen authentication material.
Detects a multi-stage, automated attack chain performed by AI-based development agents (e.g., Claude, Copilot, Cursor). The rule correlates process discovery, credential access, file collection (staging), and exfiltration over web services within a tight 15-minute window, identifying potential autonomous exploitation and data exfiltration. Covered T1046, T1552.001, T1078, T1005, T1567
This rule detects scenarios where an AI agent executes shell commands or system-level tools immediately after receiving a prompt injection attack from an untrusted source. It correlates agent audit logs—specifically identifying tool calls flagged for prompt injection—with actual endpoint process creation events. It flags process execution as 'High' severity if the command line matches common malicious patterns like encoded commands, IEX, or attempts to access credential material (e.g., lsass, mimikatz).
This rule detects scenarios where an AI agent executes shell commands or system-level tools immediately after receiving a prompt injection attack from an untrusted source. It correlates agent audit logs—specifically identifying tool calls flagged for prompt injection—with actual endpoint process creation events. It flags process execution as 'High' severity if the command line matches common malicious patterns like encoded commands, IEX, or attempts to access credential material (e.g., lsass, mimikatz).
Detects usage of the Android Debug Bridge (ADB) 'pair' command initiated by processes other than known legitimate Android development tools (e.g., adb.exe, Android Studio). This may indicate an attacker attempting to wirelessly pair a malicious device or gain unauthorized access to an Android device over the network.
This rule monitors network and event logs to detect instances where a single user account, logged into a specific host, initiates connections to two or more distinct, potentially suspicious remote IP addresses. This pattern of multi-destination connection activity may indicate command and control communication, scanning behavior, or data staging.
Detects anomalous Telnet (TCP port 23) traffic associated with Mirai-variant botnet propagation, such as scanning for new targets or inbound compromise attempts, often following cPanel/WHM vulnerabilities.
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 malformed HEIF/HEIC image files with anomalous ftyp/box structure consistent with the libheif memory corruption exploit (CVE-2026-32882) used against Discourse forum image upload endpoints
Detects malformed HEIF/HEIC image files with anomalous ftyp/box structure consistent with the libheif memory corruption exploit (CVE-2026-32882) used against Discourse forum image upload endpoints
Identifies Debian systems running vulnerable versions of the libheif package (versions 1.10.x through 1.21.x) that are susceptible to CVE-2026-32882. This rule uses software inventory data to detect installations requiring an upgrade to version 1.22.0 or higher.
Identifies Debian systems running vulnerable versions of the libheif package (versions 1.10.x through 1.21.x) that are susceptible to CVE-2026-32882. This rule uses software inventory data to detect installations requiring an upgrade to version 1.22.0 or higher.
Identifies Debian systems running vulnerable versions of the libheif package (versions 1.10.x through 1.21.x) that are susceptible to CVE-2026-32882. This rule uses software inventory data to detect installations requiring an upgrade to version 1.22.0 or higher.
Detects instances of ImageMagick binaries (convert, identify, magick) spawning suspicious child processes (e.g., shells, network tools, scripting interpreters) when processing image files with HEIF/HEIC extensions. This is a common pattern for exploiting image processing vulnerabilities (e.g., ImageTragick) to achieve remote code execution.
Detects malicious PHP web shell patterns (e.g., base64_decode, system, eval, passthru) within the WordPress plugins directory. This often indicates the presence of a trojanized plugin update or unauthorized file modification following a supply chain compromise.
This rule detects potential privilege escalation to root originating from Acronis backup plugin processes on hosting platforms like cPanel, WHM, and Plesk. It flags cases where a non-root Acronis process spawns a child process with root effective UID or when the process UID itself changes to zero, potentially exploiting vulnerabilities such as CVE-2026-87886. The rule also correlates this behavior with suspicious file permission changes (chmod/chown) on Acronis plugin directories.
Detects obfuscated PHP code within the Admin Menu Editor Pro plugin, specifically targeting indicators associated with the supply chain compromise of versions 2.35 and 2.36. The rule searches for common PHP execution functions used in web shells within the context of the vulnerable plugin directory.
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