Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects anomalous, high-volume activity by a single identity involving the provisioning of compute-intensive GPU-based EC2 instances or the bulk invocation of LLM models via AWS Bedrock and SageMaker services within a short timeframe. This behavior may indicate account compromise, resource hijacking for unauthorized AI workloads, or crypto-mining.
Detects the execution of the XMRig cryptominer masquerading as the legitimate systemd-logind service. The rule identifies suspicious command-line arguments indicative of mining activity, or instances where systemd-logind is spawned from unauthorized parent processes such as shell interpreters, container engines, or nsenter, which is often characteristic of post-exploitation activity like privileged Docker container escapes.
Detects the CARBONATO botnet using two distinct persistence and evasion techniques: masquerading user-space processes as kernel worker threads by setting command line arguments to '[kworker/u2:0]', or disguising mining binaries as the systemd-logind service. Legitimate kernel threads are spawned by PID 2 and lack an executable path, while the legitimate systemd-logind is expected to be spawned by systemd/init.
Detects execution of an XMRig cryptominer masquerading as the legitimate system process 'smss.exe' from a non-standard file path. This detection specifically identifies the presence of the WinRing0x64.sys kernel driver, often used by XMRig for hardware MSR access, and detects preceding malicious activity involving UnRAR extraction of the miner using a specific password.
Detects Android applications that request Device Admin privileges followed by the execution of coercive commands, such as disabling biometric authentication, setting admin passwords, or enabling uninstall protection. This behavior is indicative of malicious applications (e.g., RatHat) aiming to establish persistence and prevent uninstallation by the user or security software.
Detects specific Android device admin command sequences that indicate attempts to establish persistent access by hardening the device against removal (e.g., enabling uninstall protection, setting device admin passwords, disabling biometrics) or destructive actions like performing a factory reset or self-uninstallation.
Detects the insertion of malicious prompt injection payloads—containing imperative commands to AI agents or hidden unicode/non-printable characters—into wiki pages, ticketing systems, or other shared knowledge bases. These payloads are designed to be ingested by AI agents or Retrieval-Augmented Generation (RAG) pipelines, leading to unauthorized instructions or behavioral overrides upon retrieval.
Detects a multi-stage attack chain involving the download, extraction, permission modification, and execution of the XMRig cryptocurrency miner on Linux systems. The rule specifically monitors for common staging patterns in /tmp and the use of known mining-related CLI arguments.
Detects network traffic consistent with the XMRig cryptocurrency mining tool communicating with a Monero mining pool via TLS. The rule identifies specific SNI domains and direct connection attempts to known proxy IP addresses associated with cryptomining activities.
Detects internal spearphishing emails containing subjects and body text commonly associated with payroll fraud, specifically attempts to solicit changes to employee direct deposit accounts by requesting voided checks or information about upcoming payments.
Detects sensitive cPanel/WHM administrative commands or system file modifications occurring within one hour of a suspected authentication bypass event, indicative of potential post-exploitation activity related to CVE-2026-41940.
Detects a single user identity performing bulk destructive device actions (wipe, retire, remote lock, or delete) against multiple distinct devices within a short timeframe. This activity is indicative of potential unauthorized access and destructive intent, mirroring techniques observed in large-scale cloud-based identity compromise incidents.
Detects suspicious force push events to the 'main' branch in GitHub repositories. The rule flags pushes that include hardcoded commit hashes associated with known malicious activity, pushes where the author and committer identities do not match, or pushes containing specific indicators such as 'indexe.cjs' or 'preinstall' scripts which are common in software supply chain attacks.
Detects the use of native Windows utilities (vssadmin, wmic, wbadmin) or PowerShell cmdlets to delete Volume Shadow Copies or backup catalogs. This behavior is commonly associated with ransomware attempts to prevent system recovery.
This rule detects potentially malicious activity involving Node.js modules. It monitors for the deletion of specific 'sharedLoad.min.js' or 'extended' files within 'node_modules' directories, the execution of Node.js processes attempting file deletion operations (like 'unlink' or 'rm') within 'node_modules', and the creation or modification of JavaScript files within 'node_modules' that contain 'btree' references. This activity may indicate an attempt to tamper with application dependencies, inject malicious code, or remove artifacts.
This rule detects network connections to known cryptomining pool IP addresses and domain names, as well as file or process executions matching specific hashes associated with known miner samples. It monitors for communication to command-and-control (C2) servers potentially used for cryptomining operations.
Detects suspicious file create or write operations within the domain SYSVOL Policies directory. This pattern is commonly associated with attackers attempting to deploy malicious payloads, such as ransom notes or configuration changes, via Group Policy Objects (GPO). The rule monitors Windows Event ID 4663 to identify unauthorized modification attempts by non-system accounts.
Detects the use of native Windows utilities such as vssadmin.exe, wmic.exe, and diskshadow.exe to delete volume shadow copies. This is a common technique used by ransomware and other malware to prevent system recovery.
Detects attempts to terminate or delete security-related services and logging agents, such as Sysmon, Filebeat, and various endpoint protection agents, using legitimate Windows system utilities like taskkill, sc, or wmic.
This rule detects potential cost harvesting or unauthorized resource abuse by monitoring API endpoints (typically AI model gateways) for high-volume or resource-intensive queries associated with a specific identity. It correlates these patterns with billing or autoscaling trigger events (e.g., cost spikes, quota exhaustion) and identifies agentic sessions that exhibit abnormally long reasoning loops, which suggests an attempt to waste computational budget.
Detects potential Business Email Compromise (BEC) fraud involving AI voice-cloning. The rule correlates external or unrecognized Microsoft Teams activity (calls/chats) directed at finance users with high-value financial transactions or vendor bank detail updates occurring on the same day, specifically when these transactions lack evidence of legitimate out-of-band or second-approver verification.
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