Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects GitHub Actions runner processes (e.g., node, bash, python) accessing sensitive CI/CD environment variables (GITHUB_TOKEN, NPM_TOKEN) followed within 30 seconds by an outbound network connection to a non-GitHub domain. This pattern is indicative of potential secret exfiltration by compromised CI/CD pipelines or malicious build steps.
This rule monitors for three categories of potentially suspicious network behavior: connections to common CDN providers over non-standard ports, high-volume HTTPS connections directly to IP addresses (IP-direct) bypassing standard domain resolution, and high-volume traffic to CDN infrastructure that may indicate domain fronting or C2 communication. Such patterns are often used by adversaries to mask egress traffic or exfiltrate data.
This rule correlates multiple low-to-medium confidence signals across file, process, network, and registry events to detect potential ransomware activity. The rule identifies suspicious behaviors including mass file renames, creation of known ransom note file types in multiple directories, shadow copy deletion via system utilities, disabling of antivirus and security monitoring, large archive staging, unauthorized outbound network connections, and suspicious process injection. Alerts are generated based on the aggregation and frequency of these signals, indicating a high probability of ransomware-related malicious activity.
This rule detects a multi-stage attack chain on macOS involving a browser or mail client spawning a shell to download a file (DMG) via curl/wget, followed by the mounting of that disk image, execution of an application bundle from the mounted volume, and a subsequent outbound network connection from that application. This behavior is indicative of a user-initiated malware execution chain.
Detects outbound network connections to common Azure-related domains originating from suspicious file paths such as Temp, Downloads, or AppData subdirectories. This behavior is indicative of potential malware or unauthorized scripts executing from temporary user locations to reach out to cloud infrastructure.
Detects network connections to Google Cloud services (calendar.google.com, googleapis.com) over port 443 originating from processes other than known web browsers or standard Google background applications. This behavior may indicate unauthorized tools, custom scripts, or malware using Google services for command and control or data exfiltration.
Detects suspicious OpenProcess calls initiated by common user applications (explorer.exe, winword.exe, outlook.exe) targeting svchost.exe, followed by an outbound network connection from the target svchost.exe to the file sharing service filen.io within a 30-minute window. This behavior is indicative of process injection used to facilitate network communication or data exfiltration under the guise of a system process.
Detects network and DNS activity involving domains known to be used by the threat actor APT28 for command and control, specifically for hosting WebDAV payloads, malicious LNK files, and weaponized documents.
This rule detects network connections made to specific non-standard ports (7777, 8080, 8443) where the remote URL contains substrings associated with proxy or tunneling activities ('proxy', 'tunnel', 'hide'). This behavior is commonly associated with malware attempting to evade security controls by routing traffic through unauthorized intermediaries or obfuscated tunnels.
Detects network activity associated with Cobalt Strike Beacon behavior by identifying specific file extensions (.bin, .stager, .update, .task, .post) commonly used in Beacon staging and communication profiles within network inspection events.
Detects potential Command and Control (C2) communication associated with Emotet malware by monitoring for successful network connections to suspicious remote ports frequently used by the malware. The rule flags endpoints that establish connections to at least three of these high-risk ports within a one-hour window, which is indicative of automated C2 beaconing behavior.
This rule detects network connections using the GRE (Generic Routing Encapsulation) protocol to external IP addresses. GRE is often used for tunneling and can be leveraged by adversaries for command and control or data exfiltration, especially when communicating outside of internal network ranges.
Detects instances where the Windows script hosts wscript.exe or cscript.exe establish outbound network connections to common web ports (HTTP/HTTPS) on external IP addresses. This behavior is frequently associated with script-based malware, droppers, or C2 beacons.
Detects abnormally long DNS queries characterized by repetitive alphanumeric patterns, which may indicate potential DNS tunneling activity used for C2 communication or data exfiltration. The rule flags DNS requests exceeding 60 characters with repeating label structures.
Detects Distributed Component Object Model (DCOM) lateral movement activity by monitoring for mmc.exe and dllhost.exe network connections to non-local endpoints or when these processes are spawned by suspicious parent processes typically associated with command execution or malicious behavior.
This rule detects network connections to phishing pages hosted on the workers.dev domain that are attempting to interact with EvilTokens device code API endpoints. These pages are known to implement developer hotkey prevention (F12 blocked, context menu disabled) to hinder in-browser analysis, indicating malicious intent.
This rule monitors DNS queries and network connections for access to a set of known domain names associated with Adversary-in-the-Middle (AiTM) phishing infrastructure. It correlates data from DNS events, device network logs, and virtual machine network connections to identify potential interactions with malicious phishing sites typically used to capture user credentials or session tokens.
This rule monitors DNS queries and network connections for access to a set of known domain names associated with Adversary-in-the-Middle (AiTM) phishing infrastructure. It correlates data from DNS events, device network logs, and virtual machine network connections to identify potential interactions with malicious phishing sites typically used to capture user credentials or session tokens.
This rule detects known Living-off-the-Land Binaries (LOLBins) initiating outbound network connections to specific non-standard or commonly suspicious ports (8080, 8443, 4444, 1337, 1234). The rule excludes private/loopback network traffic and common Microsoft-related domains to reduce noise. Such behavior is often indicative of malicious activity, including C2 communication or unauthorized file downloads via trusted system processes.
This rule detects known Living-off-the-Land Binaries (LOLBins) initiating outbound network connections to specific non-standard or commonly suspicious ports (8080, 8443, 4444, 1337, 1234). The rule excludes private/loopback network traffic and common Microsoft-related domains to reduce noise. Such behavior is often indicative of malicious activity, including C2 communication or unauthorized file downloads via trusted system processes.
Detects C2 traffic obfuscated within HTTP request bodies
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