Detections

Explore public detection logic contributed by the community across SIEM and rule languages.

5,876 detections

Detects the use of legitimate Windows binaries (Certutil and BITSAdmin) to communicate with external, non-Microsoft IP addresses, which is indicative of potential tool downloading or data exfiltration. The rule explicitly filters out known Microsoft update domains to reduce noise.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects scenarios where common administrative or attack tools (e.g., whoami, net, ipconfig, psexec) are used within the same 5-minute window as network communication to known Large Language Model (LLM) service providers. This pattern may indicate an attacker using LLMs to assist with post-exploitation discovery, script generation, or data analysis based on local system reconnaissance.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects network connections to the Telegram API (api.telegram.org) from processes identified as LOLBins or residing in suspicious, potentially writable locations such as Temp, AppData, or user-defined directories. This activity is often indicative of C2 communication or data exfiltration by malware bypassing standard messaging client restrictions.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects scenarios where a common web browser (Chrome, Firefox, Edge, IE, Opera, or Brave) connects to an external destination not on a known allow-list, followed shortly (within 30 seconds) by the execution of a script-based binary (wscript.exe or mshta.exe) on the same host. This is a common pattern for initial access where a user downloads a malicious script from an unknown source via a browser and subsequently executes it.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
102
Detects adversary activity associated with Payouts King and Black Basta affiliates utilizing QEMU for malicious activity. The rule monitors for the creation of virtual machine disk image files in non-standard directories, the execution of QEMU using disk images with misleading file extensions such as .db or .dll, and outbound SSH connections originating from the QEMU process to tunnel traffic through a guest VM.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects the use of legitimate Windows binaries (Certutil and BITSAdmin) to communicate with external, non-Microsoft IP addresses, which is indicative of potential tool downloading or data exfiltration. The rule explicitly filters out known Microsoft update domains to reduce noise.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
Detects network connections to Filen.io cloud storage initiated by processes other than common web browsers. This behavior is often associated with the use of command-line tools or scripts for unauthorized file exfiltration or data staging.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects scenarios where a common web browser (Chrome, Firefox, Edge, IE, Opera, or Brave) connects to an external destination not on a known allow-list, followed shortly (within 30 seconds) by the execution of a script-based binary (wscript.exe or mshta.exe) on the same host. This is a common pattern for initial access where a user downloads a malicious script from an unknown source via a browser and subsequently executes it.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
This rule detects processes that perform a DNS query or network connection to common public IP geolocation services (e.g., ipify, icanhazip) followed by an outbound network connection to an external destination within a short time frame. It excludes common browser processes and standard system utilities, aiming to identify potentially malicious programs, custom scripts, or living-off-the-land binaries performing reconnaissance of the host's public network identity followed by external connectivity.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects processes running from suspicious, writable directories (Temp, AppData, Downloads) that simultaneously load the .NET Common Language Runtime (clr.dll) and initiate network connections. This behavior is indicative of a downloaded binary or payload executing managed code to perform C2 communication.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects the execution of a malicious npm package disguised as '@withgoogle/stitch-sdk'. The package uses a 'preinstall.js' script to harvest sensitive developer credentials, including API keys, Git credentials, SSH keys, and Docker tokens, and attempts to exfiltrate this data to an attacker-controlled domain (stitch-production.org).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects outbound network connections from node.exe or npm related processes to domains associated with the Polymarket Trap supply chain attack. This detection highlights the malicious behavior of compromised npm packages that initiate C2 communication at import time, bypassing standard postinstall security scripts.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects malicious activity associated with the Miasma/MYRA infostealer campaign targeting DeFi developers. The rule monitors npm lifecycle scripts (postinstall/preinstall) for suspicious execution, C2 communication with known malicious domains, unauthorized access to browser-based credential storage, and persistence attempts via LD_PRELOAD on Linux environments.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects Tailscale installation, configuration, and mesh network enrollment activity. The rule monitors for the execution of Tailscale processes with enrollment flags, DNS lookups to Tailscale coordination servers, WireGuard UDP traffic on port 41641, and connections to the Tailscale CGNAT IP address space. This activity is often used by adversaries to establish persistent, encrypted remote access.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects Node.js or npm processes that access multiple SSH-related files within a short timeframe while also establishing external network connections, which is consistent with credential exfiltration patterns.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule detects an unusually high number of outbound network connections originating from the Local Security Authority Subsystem Service (LSASS) process on a Windows machine. LSASS is a critical system process responsible for enforcing security policy on the system, including user authentication, and typically does not initiate a large number of outbound connections. A high count of outbound connections from LSASS could indicate credential dumping activity, where an attacker is exfiltrating harvested credentials, or other malicious activity compromising the LSASS process.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
302
Detects network activity associated with the SPECTRALVIPER malware family attributed to OceanLotus (APT32). The rule monitors for connections to known malicious C2 infrastructure (IPs and domains) and behavioral anomalies where the 'OneDrive.Sync.Services.exe' process makes outbound network connections to non-private addresses, which is indicative of process injection.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
This rule monitors for high frequency network connections (more than 50 requests) initiated from internal endpoints to external (non-RFC1918) IP addresses over port 443. This pattern may indicate beaconing activity, command and control (C2) communication, or significant data exfiltration to an external host.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects network activity initiated by the TukTuk malware to communicate with Arweave public gateways (arweave.net and g8way.io), which are utilized as dead-drop resolvers for C2 infrastructure resolution.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects DNS queries for domains ending in '.trycloudflare.com', which are commonly used to establish unauthorized remote access tunnels (Cloudflare Tunnel) by threat actors for C2 communication.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects unusual internal SMB connections indicating lateral movement
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Darshan Thummar@Mighty
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Detections.ai Community
4 months ago
306
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