Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects the suspicious execution of cmd.exe with piped stdio handles (indicative of a reverse shell) initiated by non-standard parent processes associated with the GRAYRABBIT malware, correlated with an immediate outbound network connection from the same process.
Detects the suspicious execution of cmd.exe with piped stdio handles (indicative of a reverse shell) initiated by non-standard parent processes associated with the GRAYRABBIT malware, correlated with an immediate outbound network connection from the same process.
This rule detects command line patterns associated with common Impacket tools (wmiexec, psexec, smbexec) executed via Windows processes (cmd.exe, powershell.exe) or via network connections to ports 445 and 135 initiated by Python processes. These tools are frequently used by adversaries for lateral movement, remote service execution, and command execution on compromised systems.
This rule detects activity associated with the exploitation of PaperCut vulnerabilities. It looks for connections to known malicious IP addresses, the presence of specific credential harvesting tools, reconnaissance commands (whoami, tasklist) executed by the PaperCut application (pc-app.exe), suspicious PowerShell downloads of AnyDesk, and unauthorized access to PaperCut configuration files or log files containing known exploit strings.
This rule identifies potential phishing emails that impersonate OneDrive sharing notifications. It correlates email messages containing keywords typically associated with document sharing (e.g., 'OneDrive', 'shared', 'file') with subsequent user URL clicks. Crucially, the rule filters for clicks to domains that are not explicitly related to legitimate OneDrive, SharePoint, or 1drv.ms hosting, indicating a potential attempt to lure users to a malicious third-party site under the guise of file sharing.
Detects periodic heartbeat beaconing activity to the domain 'tt.yeyoujs.com' over both encrypted TLS (SNI observation on port 9443) and DNS queries. This pattern is indicative of a command-and-control (C2) channel establishing or maintaining persistence.
This rule detects network traffic (DNS, TLS, HTTP, and TCP) originating from internal assets to known infrastructure associated with the QTFY proxy botnet/C2 framework. It identifies communication with specific C2 domains, proxy management systems, and associated malicious IP ranges.
This rule detects potential phishing activity by correlating email delivery events and URL click events against a set of known malicious domains and suspicious URL paths. It identifies when a user receives an email containing a suspicious link or interacts with such a link, providing visibility into potential credential harvesting or malware delivery attempts.
Detects outbound network traffic to the Telegram Bot API characteristic of malware command and control (C2). This rule specifically identifies Python-based requests using the 'python-requests' user agent performing common Telegram API operations (getUpdates, sendDocument, sendPhoto, getFile) typical of C2 frameworks like HEAVYGRAM or CHOSEN BRICK.
Detects outbound network traffic to the Telegram Bot API characteristic of malware command and control (C2). This rule specifically identifies Python-based requests using the 'python-requests' user agent performing common Telegram API operations (getUpdates, sendDocument, sendPhoto, getFile) typical of C2 frameworks like HEAVYGRAM or CHOSEN BRICK.
Detects outbound network traffic (HTTPS and TLS) directed at the specific S3-compatible object storage host 'ams1.vultrobjects.com'. This pattern is associated with 'HEAVYGRAM', a threat actor or toolkit using Vultr S3 buckets for potential data exfiltration.
Detects network activity associated with the KREMLIN browser extension communicating with a known command and control domain (luizestrelhashapr.online). The rule monitors DNS queries, TLS SNI connections, and HTTP WebSocket upgrade requests to identify potential C2 communication.
Detects network activity associated with the KREMLIN browser extension communicating with a known command and control domain (luizestrelhashapr.online). The rule monitors DNS queries, TLS SNI connections, and HTTP WebSocket upgrade requests to identify potential C2 communication.
Detects outbound HTTP GET requests to a specific C2 domain 'luizestrelhashapr.online' masquerading as CSS file fetches. The request pattern uses a specific path '/google_api/' followed by predefined alphanumeric filenames, consistent with the KREMLIN malware browser extension's C2 polling mechanism.
Detects outbound HTTP GET requests to a specific C2 domain 'luizestrelhashapr.online' masquerading as CSS file fetches. The request pattern uses a specific path '/google_api/' followed by predefined alphanumeric filenames, consistent with the KREMLIN malware browser extension's C2 polling mechanism.
Detects network communication associated with Mantax Otax Android malware, including traffic to identified command-and-control (C2) infrastructure and attempts to retrieve dynamic configuration files from GitHub.
Detects network traffic (TLS SNI or HTTP Host) to Firebase domains (firebaseio.com, firebaseapp.com, firebasedatabase.app) associated with Mantax Otax and other Android ransomware families for ransom negotiation chat channels.
This rule detects DNS queries or network connections originating from endpoints to a list of known malicious domains associated with various malware families (ClearFake, IClickFix, AMOS, Vidar, etc.). This helps identify potential C2 communication, malicious payload delivery, or infrastructure interaction.
This rule monitors DeviceNetworkEvents for outbound network connections to a list of known malicious IP addresses associated with various C2 frameworks and malware families, as identified by threat intelligence feeds (e.g., ThreatFox). Identifying these connections helps detect potential C2 communication and ingress tool transfer.
This rule detects network connections and HTTP requests to known malicious URLs, including file downloads associated with C2 infrastructure and malware distribution campaigns. It monitors both direct device network events and HTTP requests logged through security product events to identify potential secondary-stage payload delivery.
This rule detects DNS queries and network connections to a curated list of domains identified as malicious. It correlates events from DNS logs and device network logs to identify potential command-and-control (C2) or malicious infrastructure interaction.
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