Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the installation of machine learning or AI software dependencies (pip, conda, npm, poetry) that either pull from unauthorized registries or match known malicious/typosquatting naming patterns (e.g., LiteLLM supply-chain compromise). The rule also monitors for newly published packages that have been flagged as suspicious.
This rule detects the execution of common Windows administration utilities (vssadmin.exe, wmic.exe, wbadmin.exe, bcdedit.exe) being used to delete Volume Shadow Copies, backup catalogs, or modify boot configuration data to disable automatic recovery. These actions are frequently performed by ransomware to prevent data restoration.
Detects the execution of suspicious child processes (e.g., cmd.exe, powershell.exe, bash, wget) spawned by processes associated with public-facing appliances like Fortinet SSL-VPN, Veeam Backup & Replication, Citrix ADC, and cPanel/WHM. This behavior is often indicative of exploitation of public-facing applications (T1190) for initial access, frequently associated with ransomware actors targeting unpatched infrastructure.
Detects the execution of suspicious child processes (e.g., cmd.exe, powershell.exe, bash, wget) spawned by processes associated with public-facing appliances like Fortinet SSL-VPN, Veeam Backup & Replication, Citrix ADC, and cPanel/WHM. This behavior is often indicative of exploitation of public-facing applications (T1190) for initial access, frequently associated with ransomware actors targeting unpatched infrastructure.
Detects the deletion of Windows Volume Shadow Copies using vssadmin.exe, wmic.exe, or PowerShell (WMI/CIM objects). This activity is commonly used by ransomware to prevent local data recovery by destroying shadow copy backups before encryption.
Detects the use of command-line tools like s5cmd or aws-cli to synchronize or copy data to an Amazon S3 bucket. The rule identifies suspicious patterns by looking for specific transfer commands combined with recursive or high-concurrency flags that indicate mass data movement often associated with exfiltration.
Detects the execution of WinRAR utilities (WinRAR.exe, Rar.exe) with suspicious command-line arguments typically associated with data staging, archiving, or encryption. The rule filters out legitimate WinRAR installations and only triggers when the process is spawned by a script interpreter (e.g., PowerShell, CMD) or operates within sensitive file paths (e.g., Users, Shares, Finance, HR, Backup).
Detects unauthorized processes accessing the 'ConsoleHost_history.txt' file across user profiles. This behavior is indicative of ransomware operators or malicious actors attempting to harvest stored credentials, tokens, or sensitive command-line history before performing lateral movement or privilege escalation.
Detects the use of PsExec to remotely execute binaries on target hosts, a technique observed in The Gentlemen ransomware lateral movement phase when domain controller access is unavailable. The rule identifies psexec.exe process creation with common flags (-s, -d, -c) while filtering out common administrative parent processes.
Detects ClickFix-style social engineering attacks where a user is tricked into manually executing a PowerShell command. The command typically utilizes Invoke-RestMethod to fetch a remote payload and Invoke-Expression to execute it in memory, bypassing execution policies. This behavior is commonly associated with campaigns like SmartApeSG and DeepLoad.
Detects the DeepLoad malware staging process injection by spawning trusted Windows binaries (LockAppHost.exe, makecab.exe, or Magnify.exe) in a suspended state from an unauthorized parent process. This behavior is indicative of an APC-based injection sequence where malicious code is written into the suspended process before execution.
Detects the execution of PowerShell scripts 'first.ps1' and 'main1.ps1', which are components of a known credential phishing toolset. This tool displays a fake Windows Update dialog to trick users into providing their credentials, which are then exfiltrated via SMB, DNS, or HTTP.
Detects rapid, multi-category reconnaissance activity initiated by AI-agent binaries (e.g., Claude, Cursor, ChatGPT). The rule identifies sessions that perform four or more distinct discovery operations—spanning account, network service, system information, and network configuration discovery—within a short time window, indicating potentially malicious autonomous exploration by an AI agent. Covers T1046, T1087, T1083, T1016
Detects rapid, machine-speed, sequential attack-path adaptation by suspected AI agent binaries. The rule monitors for a correlation of four stages occurring within a tight 20-minute window: 1) Failed service connections across three or more distinct protocols (SMB, SSH, HTTP, RDP, WinRM), 2) Credential access attempts (Logon events or execution of known credential-dumping tools), and 3) A lateral movement pivot to a new, previously un-targeted internal destination. The rule specifically keys on the InitiatingProcessId and InitiatingProcessCreationTime to ensure the sequence is attributed to a single process instance, distinguishing it from human manual penetration testing activity. Covers T1190, T1210, T1078
Detects anomalous multi-agent chaining where one AI-enabled agent instance initiates a connection to an AI API and subsequently hands off information to a second, distinct agent instance, which then performs an suspicious downstream action such as spawning a shell or initiating an unauthorized external network connection. This behavior is intended to identify potential abuse of AI-coding assistant tools for automated execution chains.
Detects the loading of radcui.dll from the non-standard %LOCALAPPDATA%\Microsoft\RemoteApp\Gateway\ directory. This behavior is associated with DLL sideloading chains where signed Microsoft binaries (such as wkspbroker.exe) are abused to load malicious payloads, often seen in the PREY-0058/Aur0ra Teams vishing campaigns.
Detects instances where a Node.js process spawns another Node.js process to execute a JavaScript file located within the node_modules directory. This pattern is commonly observed when malware or malicious scripts attempt to execute payloads from within project dependencies, potentially hiding malicious activity within seemingly legitimate library paths.
Detects instances where a Terraform process or its associated provider plugins spawn a Go toolchain process (go.exe) to execute a local package. This pattern is associated with malicious Terraform providers that use this technique to bootstrap second-stage payloads such as the Graphalgo RAT.
Detects a suspected malicious activity pattern known as the Veltrix Capital fake job-lure. The rule monitors for a sequence where a user clones a job-task repository (containing 'veltrix-capital' in the command) followed by the installation of a suspicious dependency (using names like 'graph*' or 'big*' with npm or pip) within a 30-minute window on the same device.
Detects a suspicious sequence where a Go toolchain is used to fetch dependencies, followed by a 'go run' execution that spawns a child process which initiates an outbound network connection shortly thereafter. This behavior is indicative of a 'hidden entry point' pattern where legitimate development tools are abused to download, compile, and execute a second-stage remote access trojan (RAT) or malicious payload.
Detects potential staging and execution chains involving remote MSI file fetching via msiexec.exe, or the execution of .wsf scripts or registry imports originating from or residing in AppData directories. This behavior is indicative of multistage malware delivery or persistence mechanisms where components are downloaded and executed using LOLBins.
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