Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects potential command and control (C2) activity associated with the BotHelper malware. The rule correlates a process downloading files or DLL plugins from specific C2 URL paths ('/uploads/Files/' or '/uploads/Plugins/') with a subsequent report of task execution status ('task_run.php' or 'task_failed.php') originating from the same process within a 10-minute window.
This rule monitors for known malicious indicators, including a specific file hash, a C2 IP address, a remote URL associated with potential malicious activity (anydesk.exe), and a domain associated with C3Pool crypto-mining activity, across device processes, network events, and file operations.
This rule monitors for known malicious indicators, including a specific file hash, a C2 IP address, a remote URL associated with potential malicious activity (anydesk.exe), and a domain associated with C3Pool crypto-mining activity, across device processes, network events, and file operations.
Detects Microsoft Installer (MSI) files associated with the psychedelic stealer malware family. The rule identifies MSI components that contain embedded paths to the psychedeliclove.exe payload, specific command and control IP/port combinations, and decoy file names (e.g., MsMpEng.exe or explorer.exe) used to disguise the malware installation or execution process.
Detects msiexec.exe initiating network connections to or executing packages from endpoints containing 'capher.php' and token parameters. This behavior is associated with the 'ClickFix' delivery chain, where adversaries use malicious websites or scripts to trick users into downloading and executing installer files.
Detects specific HTTP traffic patterns associated with the RatHat malware's FRP (Fast Reverse Proxy) reverse-tunneling deployment and C2 status reporting. The rule identifies the sequence of fetching configuration, initiating WebSocket tunnel links, and reporting deployment status to a remote command-and-control server.
This rule monitors for indicators of compromise (IOCs) associated with known malware and C2 infrastructure, including specific IP:port combinations, malicious domains, URLs for file downloads, and SHA256 hashes of known malware. The rule correlates data across device network events, file events, and process execution events to identify potential infections or communication with malicious infrastructure.
Detects HTTP beaconing patterns and TLS SNI traffic associated with the Sauron Loader malware. The rules identify specific URI structures (including versioned resources and various configuration/profile endpoints), specific URL parameters used for session management, and characteristic User-Agent strings. Additionally, it monitors for connections to known command-and-control infrastructure via TLS SNI filtering.
This rule detects anomalous activity involving cloud-based shell services (AWS CloudShell, Azure Cloud Shell, GCP Cloud Shell). It triggers on two main conditions: (1) First-time usage of these shell environments by a principal within the detection window, and (2) The execution of commands associated with data staging, ingress tool transfer, or exfiltration (e.g., curl, wget, storage copy commands).
Detects instances where a Claude process accesses a 'SKILL.md' file, followed closely by a suspicious command execution on the same device. The rule specifically targets command-line activity that involves encoding, download-and-execute patterns, staging in sensitive directories, or communication with suspicious domains/IPs, which is indicative of a supply-chain or poisoned agent-skill file attack.
Detects suspicious execution of command-line utilities (cmd.exe, powershell.exe, conhost.exe) directly from Windows Explorer (explorer.exe), which is often indicative of fileless malware execution, downloader activity, or 'ClickFix' style social engineering attacks.
Detects scripting interpreters (wscript.exe, cscript.exe, powershell.exe, python.exe) that perform an outbound network connection to known public Generative AI API endpoints and subsequently modify their own script file on disk. This behavior is indicative of sophisticated malware attempting to rewrite its own source code at runtime to evade signature-based detection.
Detects the execution of known Living-off-the-Land Binaries (LOLBAS) like mshta, rundll32, regsvr32, and others, when the command line includes indicators of external network retrieval (http/ftp), script execution (javascript/vbscript), or common obfuscation/decoding patterns (base64, encodedcommand). The rule excludes paths within System32 and SysWOW64 to focus on potentially suspicious locations or renamed binaries.
Detects the abuse of Windows protocol handlers ('search-ms:') and WebDAV UNC paths ('@SSL\DavWWWRoot') launched from common web browsers or Windows shell processes. This technique, frequently observed in 'ClickFix' phishing campaigns, enables attackers to stage remote payloads like LNK, HTA, or scripts by leveraging native Windows functionality to resolve remote content as if it were a local resource, bypassing typical file download security controls.
Detects the Exvicy 'ClickFix' campaign execution chain where explorer.exe spawns a PowerShell process utilizing download commands (e.g., Invoke-WebRequest, Invoke-RestMethod) to interact with known malicious domains or IP addresses, followed by the execution of installers (msiexec.exe) or tools (putty.exe) within a short timeframe.
Detects the creation of scheduled tasks using schtasks.exe that involve suspicious arguments (such as encoded commands, execution from volatile directories like Temp/AppData, or run-once triggers) shortly after a file has been downloaded into a temporary or user-writable directory. This pattern is commonly indicative of an adversary establishing persistence for downloaded malware.
Detects the use of legitimate Windows system utilities certutil.exe and bitsadmin.exe to perform remote file downloads or decode remote content. Adversaries often use these dual-use tools to bypass network security controls by masquerading as standard system processes for staging second-stage payloads.
Detects common suspicious PowerShell command-line patterns often used for malicious purposes, including base64-encoded command execution, hidden-window execution with common evasion flags, and the use of download/execution cmdlets for in-memory payload delivery.
Detects a multi-stage process execution chain involving PowerShell: first, a script-based download of remote content, followed by in-memory reflection, and finally, suspicious memory allocation or thread manipulation within the same process context. This pattern is characteristic of fileless malware execution chains designed to evade disk-based detection.
Detects a multi-stage process execution chain involving PowerShell: first, a script-based download of remote content, followed by in-memory reflection, and finally, suspicious memory allocation or thread manipulation within the same process context. This pattern is characteristic of fileless malware execution chains designed to evade disk-based detection.
Detects a multi-stage process execution chain involving PowerShell: first, a script-based download of remote content, followed by in-memory reflection, and finally, suspicious memory allocation or thread manipulation within the same process context. This pattern is characteristic of fileless malware execution chains designed to evade disk-based detection.
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