Detections

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

5,879 detections

Detects network traffic associated with known Cobalt Strike Beacon request URI patterns. This rule utilizes network signature inspection to flag outbound connections containing URI fragments commonly used by Cobalt Strike default profiles.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
309
Detects potential Command and Control (C2) infrastructure rotation and DNS exfiltration by correlating DNS-over-HTTPS (DoH) traffic to Google Public DNS (8.8.8.8) with concurrent outbound connections to a high count (>=5) of distinct external IP addresses within a one-hour window. This behavior is consistent with the Nightmare Eclipse/VerdantBamboo post-disclosure tactical shifts to obfuscate DNS queries and rotate C2 endpoints.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects network activity initiated by qemu-system-x86_64.exe to internal subnets using common lateral movement ports (21, 88, 389, 445, 636) or the execution of known tools netbird.exe or cookie_exporter.exe. This rule flags potential virtualization-based lateral movement or unauthorized tool usage.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Open-source derived remote access trojan with plugin architecture
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects network connection activity originating from QEMU virtualization processes (qemu-system-x86_64, qemu-system-i386, qemu-system-aarch64) to external (non-private/non-local) IP ranges. This could indicate the use of virtualization tools to facilitate tunneling, proxying, or lateral movement within an environment.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects suspicious activities related to the execution of qemu-system-x86_64, including scheduled task creation referencing 'TPMProfiler', execution under the SYSTEM account, and outbound network communication to known malicious IP addresses on specific ports (22, 32567, 22022).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
102
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 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
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