Detections

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

20,501 detections

Detects instances where a process deletes its own executable or script file within 15 seconds of being launched. This behavior is often associated with self-modifying implants, transient scripts, or malicious artifacts attempting to minimize their footprint on the host system immediately after execution.
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Arnold Chan@slaz
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Hunters
1 month ago
103
This rule detects the execution of AnyDesk within a 30-minute window of Microsoft Teams activity on the same device. This pattern is indicative of a vishing attack, where a malicious actor lures a victim into installing remote access software during a fake technical support session initiated via Teams.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
Detects instances where node.js or npm processes spawn child processes that subsequently perform write operations into Windows startup folders or registry run keys within a one-hour window. This behavior is indicative of a second-stage payload execution and persistence mechanism often leveraged by threat actors.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
This rule detects instances where the legitimate remote desktop application AnyDesk (AnyDesk.exe) acts as the parent process to spawn a Windows command shell (cmd.exe) or execute a batch script (.bat). This behavior is often indicative of unauthorized remote access or the execution of malicious payloads by adversaries leveraging remote support tools.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
Detects Node.js processes executing command lines containing known malicious indicators or accessing specific suspicious JavaScript files (e.g., sharedLoad.min.js) associated with malicious loaders or hardcoded cryptographic keys.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
103
Detects the execution of AnyDesk shortly after a Microsoft Teams meeting or call initiation on the same host. This pattern is commonly observed in social engineering attacks where an adversary convinces a user to use remote access software during a live support or phishing call.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
This rule detects a multi-stage attack chain targeting a single user within a 2-hour window. It identifies the combination of email bombing (a distraction technique), an incoming external or anonymous Teams call (social engineering channel), and the installation of common remote access tools (e.g., AnyDesk, TeamViewer) on the same host.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
003
This rule detects the use of specific tools associated with credential dumping and memory forensics, including Dokan driver installations for file system mounting, the use of DumpIt for creating memory dumps, and the subsequent analysis of these dumps using MemProcFS to access sensitive process memory information such as LSASS minidumps.
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Ankit Mehta@Secvyn
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SlimKQL
2 months ago
206
This rule monitors for file and process creation events associated with known FeralWolf threat actor malware, including MQTTDoor, MatrixDoor, RDPSocksProxy, GenieLocker ransomware, fscan, and tools leveraging CVE-2026-31431.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
006
Detects the abuse of the forfiles.exe utility to indirectly execute command-line interpreters such as cmd.exe, powershell.exe, or other common LOLBins. Adversaries use this technique to bypass security controls that monitor or restrict direct execution of these interpreters.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
601
Detects the invocation of Windows Subsystem for Linux (WSL) binaries (wsl.exe or wslconfig.exe) using command-line arguments that enable arbitrary command execution, such as -e, --exec, or shell interpreters (bash -c, sh -c), or web-based retrieval tools like curl/wget. This technique is often used to execute commands or download payloads within a Linux environment on Windows, potentially bypassing security controls focused on native Windows processes.
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Ibrahim Saud@tektrix
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Detections.ai Community
1 month ago
001
Detects instances where AI coding assistants or tools (e.g., Claude, Copilot, Gemini) invoke git.exe to clone or fetch repositories from non-standard (non-GitHub) hosts, followed by a checkout operation within a short timeframe. This behavior may indicate an attacker using automated tools to stage or exfiltrate sensitive code repositories to unauthorized infrastructure.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
206
Detects the execution of processes with 'revsocks' in the file name. Revsocks is a known proxy tool often utilized by threat actors for establishing reverse SOCKS proxies, facilitating command and control communication, and bypassing network segmentation.
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Ankit Mehta@Secvyn
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Detections.ai Community
2 months ago
206
Detects potential multimodal prompt injection attacks where an AI agent process ingests a file (PDF, image, etc.) from a browser or mail client and subsequently performs suspicious downstream activity, such as spawning a shell with execution primitives or making network connections to rare, non-reputable external domains. Covers T1204, T1059, T1105
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Arnold Chan@slaz
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Hunters
1 month ago
001
This rule detects potentially malicious child processes spawned by Visual Studio Code (Code.exe) when using VS Code tasks (tasks.json). It identifies suspicious CLI arguments often associated with downloading, executing, or obfuscating scripts (e.g., PowerShell, curl, python, mshta) that are not part of standard development workflows like npm, yarn, or git, which are explicitly filtered out as noise.
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Arnold Chan@slaz
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Detections.ai Community
2 months ago
305
Detects reconnaissance behavior (System Information, Account, and Network Discovery) performed by processes associated with AI and LLM coding assistants. The rule monitors for a chain of suspicious activities, such as executing discovery commands or excessive network scanning within a 10-minute window, identifying potential misuse of developer-oriented agent tools for post-exploitation reconnaissance.
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Arnold Chan@slaz
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Hunters
1 month ago
001
Detects reconnaissance behavior (System Information, Account, and Network Discovery) performed by processes associated with AI and LLM coding assistants. The rule monitors for a chain of suspicious activities, such as executing discovery commands or excessive network scanning within a 10-minute window, identifying potential misuse of developer-oriented agent tools for post-exploitation reconnaissance.
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Arnold Chan@slaz
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Detection & Hunting Community
1 month ago
001
Detects mshta.exe spawning suspicious child processes (cmd.exe, powershell.exe, or reg.exe) that are characteristic of the ReverseRAT backdoor. The rule identifies common discovery commands or persistence attempts via Registry Run keys triggered from mshta.exe.
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Arnold Chan@slaz
Defender - KQL
1 month ago
002
Detects the execution of mshta.exe by explorer.exe with command line arguments containing script protocols (javascript:, vbscript:) or remote URLs. This is a common technique used by attackers to execute malicious HTA files or inline scripts, bypassing security controls.
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Arnold Chan@slaz
Defender - KQL
1 month ago
202
Detects the execution of mshta.exe by explorer.exe with command line arguments containing script protocols (javascript:, vbscript:) or remote URLs. This is a common technique used by attackers to execute malicious HTA files or inline scripts, bypassing security controls.
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Arnold Chan@slaz
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Hunters
1 month ago
002
Detects the execution of mshta.exe by explorer.exe with command line arguments containing script protocols (javascript:, vbscript:) or remote URLs. This is a common technique used by attackers to execute malicious HTA files or inline scripts, bypassing security controls.
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Arnold Chan@slaz
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Detections.ai Community
1 month ago
002
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