Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects unusual network connections or process creation events originating from the 'sharingd' daemon on macOS. 'sharingd' handles various Apple sharing features (AirDrop, Handoff, Shared Clipboard). Unusual child processes or network activity involving this daemon may indicate abuse for unauthorized data transfer, lateral movement, or remote service interaction.
Detects outbound HTTPS traffic on non-standard ports that matches a specific JA3 fingerprint associated with the Sliver command and control framework. This indicates potential beaconing or C2 communication from a compromised host.
This rule detects outbound HTTP POST requests to dynv6-hosted infrastructure, specifically targeting communication patterns associated with Kimsuky campaigns. It monitors for exfiltration indicators such as the 'finalservice.php' endpoint, specific multipart form boundaries, and file indicators like 'Info.txt' used for data exfiltration.
Detects instances where Chrome or Microsoft Edge web browsers access local sensitive credential storage files (e.g., Login Data, Web Data, Cookies) from unexpected file system paths, combined with external network traffic from the same process instance. This behavior is indicative of potential malicious browser extension abuse, DLL sideloading, or unauthorized browser instance execution for credential exfiltration.
This rule detects persistent, long-lived outbound network connections from a single device to external public IP addresses over common web ports (80 and 443). By calculating the connection count, total duration, and average interval between connections, it identifies periodic beaconing activity consistent with command and control (C2) communication patterns, such as those observed in UNC1549 TRUSTRAP traffic.
This rule detects file system artifacts and network activity associated with a malicious Chromium-based browser extension (ID: flkebkiofojicogddingbdmcmkpbplcd). The extension utilizes service workers to intercept browser search queries and capture keystrokes, subsequently exfiltrating the data to an attacker-controlled domain.
This rule detects network connections to external (non-private) IP addresses on port 8013. Additionally, it identifies potential anomalies where a network request on this port contains a message indicating that the required certificate was not found in the HTTP request header, which may indicate unauthorized or malicious activity, such as C2 communication attempt over non-standard ports or communication bypass.
Detects the presence of a malicious Electron-based backdoor disguised as the Franz messaging application, commonly associated with the 'ClickFix' campaign. The rule identifies indicators such as a specific C2 endpoint, automated persistence via Electron login item settings, arbitrary JavaScript execution through a 'task.e' sink, and the creation of local persistence files like 'readme.txt' and 'setup.txt'.
Detects evidence of process hollowing involving 'ServiceModelReg.exe', often used to conceal malicious stealer activity. The rule correlates the creation of this process with subsequent unexpected outbound network connections from the same process/host, and also monitors for specific debug/log strings indicative of failed or active process hollowing attempts (RUNPE techniques).
Detects multiple signals associated with potential process injection or hollowing involving 'ServiceModelReg.exe'. The rule correlates process creation in a suspended state, memory injection-related actions, outbound network connections from the process, and specific debug strings often associated with automated process hollowing tools.
Detects a PowerShell download cradle that retrieves a payload archive from a Cloudflare R2 bucket (pub-*.r2.dev/*.zip) and reports success via an out-of-band HTTP GET to a /dl-callback/ endpoint containing a GUID, consistent with ClickFix loader behavior.
Detects unusual DNS requests initiated by common development, scripting, and administrative tools (e.g., node, python, powershell, curl) to domains that follow patterns often used for webhooks, relays, or command-and-control services. The rule specifically excludes common package management or source code repositories to reduce noise.
Detects a multi-stage execution chain associated with the 'Contagious Interview' campaign, where Visual Studio Code (Code.exe) spawns a shell process (cmd, powershell, bash, or sh) that uses network retrieval utilities (curl, wget, or http) to download content from known Lazarus group staging domains within a two-minute window.
Detects outbound SSH connections to TCP port 2222 that exhibit specific cipher negotiation patterns (curve25519-sha256 and chacha20-poly1305@openssh.com) associated with a known malicious SSH server exploit scaffold for CVE-2026-55200. This vulnerability involves a pre-authentication heap out-of-bounds write in libssh2 clients.
This rule detects potential phishing activity by monitoring for the creation of specific PDF files matching common financial-themed lures and network connections to a known malicious domain 'facture-in.pages.dev'. It tracks file-based lure indicators on local devices and network requests to identify potential initial access or delivery stages of an attack.
Detects the execution of AppleScript files named 'Maccy.scpt' using the 'osascript' or 'Script Editor' utilities. The rule correlates this process execution with network activity directed towards the 'maccyapp.com' domain within a one-hour window, identifying potential unauthorized or malicious scripting behavior involving Maccy-related artifacts.
Detects outbound network traffic from internal hosts to the domain 'avenger-sync.live' over TLS port 443, which is associated with PamStealer stage-two command and control communication.
Detects the download of potential steganographic image files (specifically .jpg extensions) from known malicious IP addresses, followed by the creation of a non-Microsoft-signed image file in the C:\Windows directory by the same process storyline. This behavior suggests the download and extraction of an embedded malicious payload.
Detects network communication to the Telegram Bot API (api.telegram.org) initiated by processes other than standard web browsers. This behavior is indicative of malicious activity such as automated data exfiltration, C2 communication, or victim status reporting, as observed in ransomware campaigns like BQTLock.
Detects network, DNS, and process-level activity associated with BQTLock ransomware command-and-control communication, specifically targeting Telegram Bot API and Discord webhook traffic originating from non-standard (non-browser/non-messaging) processes.
This rule detects potentially unauthorized or suspicious outbound network connections to common Generative AI service APIs (OpenAI, Anthropic, Mistral) originating from command-line interpreters (cmd.exe, powershell.exe) or python.exe instances running from temporary directories, which could indicate data exfiltration or the use of AI tools for malicious automation.
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