Detections

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

2,521 detections

Detects the execution of PowerShell with suspicious download-related commands (Invoke-WebRequest, DownloadFile, WebClient, IEX, DownloadString) when initiated through conhost.exe, specifically when the originating parent process is a common shell or utility associated with shortcut (.lnk) file execution or specific command patterns.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
Detects execution patterns associated with the Miasma/Mini Shai-Hulud multi-layer obfuscated npm payload. This includes monitoring for bun runtime spawning from Node/NPM contexts, execution of bun with specific patterns from /tmp, downloading of specific bun versions from GitHub, and execution of suspicious index.js scripts within .claude directories.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
201
Detects Node.js processes engaging in suspicious behaviors related to supply chain or second-stage attacks. This includes executing scripts from hidden .peer/ directories, accessing specific staging script filenames, and performing DNS requests or network connections to the known malicious domain data-stream.space.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
This rule detects processes making a high volume of successful network connections (3 or more within an hour) to domains containing 'codeartifact' or 'artifactory'. This behavior could indicate an attempt to download tools, libraries, or other artifacts, potentially as part of an ingress tool transfer or supply chain attack.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects the execution of `wget` or `curl` commands that also contain keywords like `execute` or `eval` in the command line. This combination can indicate an attempt to download and immediately execute malicious code or scripts, often associated with initial access or persistence mechanisms. The rule aggregates these events by computer and account over a one-hour period and triggers if three or more such events occur.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
This rule detects processes making a high number of successful network connections (10 or more within an hour) to known public container registries such as docker.io or quay.io. This activity could indicate legitimate containerization operations, but also potential malicious activity like downloading malicious container images as part of a supply chain attack, or ingress of tools.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
000
Detects the use of the BITSAdmin utility to transfer files or set notification command lines. BITSAdmin is a legitimate Windows utility often abused by adversaries to download malicious files or achieve persistence/execution via BITS jobs.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
000
Detects a batch or PowerShell loader reading 'msedge.txt' from a writable path (Temp, AppData, Downloads, ProgramData) and treating its content as encoded executable data. This behavior is indicative of the Banana RAT malware.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
4 months ago
008
Detects the use of certutil.exe with command-line arguments indicative of downloading files from a URL or decoding/encoding data. This utility is often abused by adversaries for ingress tool transfer or obfuscation.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
103
Detects the use of PowerShell commands that leverage 'Invoke-Expression' (IEX) in conjunction with 'Net.WebClient' or 'DownloadString' methods to download and execute code directly from the internet into memory.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
501
Detects the use of BITSAdmin or PowerShell 'Start-BitsTransfer' to initiate file transfers, specifically targeting non-Microsoft signed processes. Adversaries often abuse the Background Intelligent Transfer Service (BITS) to download malicious payloads or exfiltrate data, as it is a legitimate Windows service that operates in the background.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Tracks network communication matching specific ClickOnce deployment URLs traversing over unencrypted HTTP. This rule identifies attempts to download or access ClickOnce application deployment files (.application) over unencrypted HTTP, which could indicate a potential supply chain attack or malware delivery mechanism.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
108
This rule detects potentially malicious activity associated with the exploitation of Ray framework dashboards. It identifies three distinct indicators: inbound network connections to the Ray dashboard port (8265), the execution of common file download tools (e.g., curl, wget) by Ray worker processes, and outbound connections from Ray processes to known C2 infrastructure.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
002
Detects the initial stage of the Meow RAT ClickFix campaign, specifically targeting fileless zsh loaders. This rule identifies command-line executions involving 'zsh', 'bash', or 'sh' that combine 'eval', 'base64', 'gzip', and either 'curl' or 'osascript', often with redirection to /dev/null. This pattern is indicative of a gzip+base64 encoded heredoc being fetched via curl and executed in memory, followed by osascript for further actions.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
003
Detects PowerShell execution involving Node.js related artifacts such as downloads from nodejs.org, extraction of specific Node.js archive versions, or interaction with Node.js installation directories. This activity is indicative of potential unauthorized software installation or preparation for execution of Node.js-based applications or tools on a Windows system.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects indicators of the DragonReturn malware campaign, specifically the download and deployment of malicious payloads hidden within image files. The rule monitors for network connections to known malicious infrastructure, the creation of specific steganographic staging files in sensitive directories, and the use of the URLDownloadToFile API to retrieve these payloads.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects a suspicious PowerShell command sequence involving network downloads to temporary directories followed by the execution of a Node.js binary from within the user's AppData directory within a 30-minute window. This behavior is indicative of a dropper pattern where a malicious script retrieves and executes a secondary stage payload.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
000
Detects the use of certutil.exe to download files from remote URLs using the -urlcache flag or decode files using the -decode flag. This behavior is indicative of a living-off-the-land technique used by adversaries to fetch or prepare malicious payloads.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects instances of curl.exe being executed by suspicious parent processes (such as shells, scripting engines, or Office applications) while using command-line arguments to download files from remote URLs to sensitive or common directory paths. This behavior is indicative of a living-off-the-land (LOLBin) attack pattern used to stage malicious payloads.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
1001
Detects the suspicious use of the legitimate Windows utility CertUtil.exe for downloading files from remote URLs or for encoding/decoding files. These actions are common techniques used by adversaries to bypass security controls, download malicious payloads, or obfuscate staging files.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects instances of curl.exe being executed by suspicious parent processes (such as shells, scripting engines, or Office applications) while using command-line arguments to download files from remote URLs to sensitive or common directory paths. This behavior is indicative of a living-off-the-land (LOLBin) attack pattern used to stage malicious payloads.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
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