Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects attempts to exploit a vulnerability in WSO2 API Manager and Traffic Manager that allows for authentication bypass by utilizing a malformed JWT with the 'alg=none' header. Attackers can leverage this to impersonate users or bypass security controls by providing a crafted Bearer token in the Authorization header.
Detects attempts to exploit a vulnerability in WSO2 API Manager and Traffic Manager that allows for authentication bypass by utilizing a malformed JWT with the 'alg=none' header. Attackers can leverage this to impersonate users or bypass security controls by providing a crafted Bearer token in the Authorization header.
Detects high-frequency outbound TCP connection attempts from a WSO2 API Gateway or Traffic Manager host to multiple sensitive internal management and administrative ports (22, 445, 3389, 5985, 5986). This behavior is indicative of a compromised gateway being used for lateral movement across the network.
Detects potential exploitation of CVE-2026-87886 in the Acronis Backup plugin for cPanel & WHM, where an adversary uses insecure file permissions to elevate privileges. The rule monitors for execution of file permission or ownership changing utilities (chmod, chown) targeting files associated with backup plugins.
Detects a suspicious scenario where a non-root process associated with Acronis backup plugins (typically used on cPanel, WHM, or Plesk servers) spawns a child process that executes with root privileges. This behavior is indicative of potential privilege escalation exploiting CVE-2026-87886.
Detects the use of chmod or chown commands to modify permissions or ownership of files associated with Acronis backup plugins within cPanel, WHM, or Plesk environments. This activity is indicative of potential unauthorized manipulation or exploitation of the backup configuration, such as that associated with CVE-2026-87886.
Detects Python scripts containing natural-language comments that narrate attack rationale, reasoning, or step-by-step intent. This behavior is a diagnostic signature of scripts generated or operated by AI agents, which tend to document their own processes in plain text comments, unlike human-written malicious code.
Detects potential database ransomware activity by correlating the usage of AES_ENCRYPT for record modification, followed by the dropping of tables and the insertion of ransom notes containing specific contact keywords (e.g., bitcoin, proton mail) within database queries or system logs.
Detects command-line activity indicating an attempt to interact with or abuse the Docker socket (/var/run/docker.sock) for container escape. Such activity is often observed in post-compromise scenarios, such as ransomware attacks where an adversary attempts to break out of a containerized application to gain control of the underlying host.
This rule aggregates vulnerability data from Microsoft Defender for Endpoint (Threat and Vulnerability Management) over the last 7 days. It groups vulnerable devices by CVE ID and severity level, providing an overview of known software weaknesses currently present across the fleet.
This rule identifies developer or contractor workstations that have Node.js/npm installed but currently lack active EDR sensor coverage (i.e., the sensor is either not onboarded or not in an active state). It employs a 24-hour grace period to filter out transient onboarding issues and ensures that the device has reported activity within the last 7 days to avoid alerting on decommissioned hardware. This gap in visibility increases the risk of undetected supply-chain malware execution and credential theft on sensitive developer endpoints.
This rule identifies developer or contractor workstations that have Node.js/npm installed but currently lack active EDR sensor coverage (i.e., the sensor is either not onboarded or not in an active state). It employs a 24-hour grace period to filter out transient onboarding issues and ensures that the device has reported activity within the last 7 days to avoid alerting on decommissioned hardware. This gap in visibility increases the risk of undetected supply-chain malware execution and credential theft on sensitive developer endpoints.
This rule detects the use of 'npm' or 'node' to install packages from a registry other than trusted, standard registries (e.g., npmjs.org, GitHub). It specifically monitors command lines involving 'claude-code' that utilize custom, non-standard registry URLs. This behavior is indicative of potential supply chain attacks or the installation of unauthorized/malicious dependencies.
Detects shell/install scripts that deploy an XMRig-based Monero cryptominer, consistent with the install script planted on the LeakySensey git repository server
Detects anomalous SSH authentication patterns characterized by a high volume of failed logon attempts (>= 10) originating from a specific IP address within a short timeframe (30 minutes), followed by a successful authentication to the same target device. This pattern is indicative of a successful credential brute-force or password guessing attack against an exposed SSH service.
This rule detects the execution of processes associated with CLI proxy routers (such as CLIProxyAPI or router-for-me) that establish network connections to multiple AI provider APIs (e.g., Anthropic, OpenAI, Google Gemini) within a short window. This pattern is indicative of efforts to bypass rate-limiting or allowlisting mechanisms commonly used by corporate environments to control and audit AI service interactions.
This rule detects the execution of processes associated with CLI proxy routers (such as CLIProxyAPI or router-for-me) that establish network connections to multiple AI provider APIs (e.g., Anthropic, OpenAI, Google Gemini) within a short window. This pattern is indicative of efforts to bypass rate-limiting or allowlisting mechanisms commonly used by corporate environments to control and audit AI service interactions.
This rule detects the execution of processes associated with CLI proxy routers (such as CLIProxyAPI or router-for-me) that establish network connections to multiple AI provider APIs (e.g., Anthropic, OpenAI, Google Gemini) within a short window. This pattern is indicative of efforts to bypass rate-limiting or allowlisting mechanisms commonly used by corporate environments to control and audit AI service interactions.
Detects high-volume filesystem activity (exceeding 300 operations in 5 minutes) initiated by 'claude-code' or 'claude' processes. This behavior may indicate an autonomous, patched, or jailbroken AI coding assistant performing mass file operations or reconnaissance without user confirmation.
Detects high-volume filesystem activity (exceeding 300 operations in 5 minutes) initiated by 'claude-code' or 'claude' processes. This behavior may indicate an autonomous, patched, or jailbroken AI coding assistant performing mass file operations or reconnaissance without user confirmation.
This rule detects potentially unauthorized root account activity by monitoring for 'root' logon events and privileged process execution (such as 'su' or 'sudo'). It flags sessions or commands that occur outside of defined business hours, originate from unapproved IP addresses, use unapproved accounts, or are executed via suspicious parent processes, providing a high-confidence indicator of anomalous administrative behavior.
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