Detections

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

4,230 detections

This rule detects HTTP POST requests to the Azure management API (management.azure.com). A high volume of such requests (20 within 10 seconds from the same source) could indicate automated activity, potentially related to command execution or resource manipulation within an Azure environment.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects the download of ISO, IMG, VHD, or VHDX files over HTTP that are larger than 500KB. These file types are often used as containers for malware delivery, allowing attackers to bypass traditional file-based security controls by embedding malicious executables or scripts within disk images.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects potential HID (Human Interface Device) keystroke injection attacks via USB emulation. It specifically looks for HTTP client body content containing both the terms 'keyboard' and 'inject' (case-insensitive). This pattern suggests an attempt to simulate keyboard input, often associated with devices like 'BadUSB' or 'Rubber Ducky' that emulate a keyboard to deliver malicious keystrokes.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects HTTP traffic directed to 'management.azure.com' with a URI containing 'runCommand'. This pattern indicates an attempt to execute a command on an Azure Virtual Machine using the Azure Run Command feature. This activity is often associated with administrative actions or potential malicious execution on cloud resources.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects when an AWS Systems Manager (SSM) Run Command is executed on an EC2 instance. It specifically looks for HTTP traffic to 'ssm.amazonaws.com' with the URI containing 'SendCommand'. This indicates an attempt to remotely execute commands on an EC2 instance via AWS SSM.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects HTTP POST requests to Azure Function or Azure Website domains. It specifically looks for hostnames ending in '.azurewebsites.net' or containing '.azurefunctions.' in a case-insensitive manner. A threshold of 20 such requests from the same source within 60 seconds triggers the alert, indicating potential automated activity or remote execution attempts against Azure-hosted applications.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
203
This rule detects attempts to log in to a web interface using default 'admin' credentials. It specifically looks for HTTP POST requests to a URI containing 'login' and a client body that contains 'admin' twice, indicating both username and password might be 'admin'.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
103
This rule detects HTTP requests to URIs containing keywords associated with common IT management platforms (ConnectWise, Kaseya, SolarWinds, Datto, N-central). It specifically looks for established HTTP traffic flowing to the server. A threshold of 5 occurrences within 60 seconds from the same source IP is set to trigger an alert, indicating a potential remote access session or activity related to these platforms.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects network connections to the '.cfd' TLD originating from common web browsers. This cheap TLD is increasingly abused by attackers to host phishing redirect pages delivered via malicious SVG files.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
12029
Detects web defacement attempts via HTTP PUT requests to web server content files
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects junk data padding in HTTP requests used to obfuscate C2 communications
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects compromised websites being abused as C2 relay infrastructure
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects XOR-encrypted payload delivery used to evade signature detection
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects access to credential files through web shell commands
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects POST requests to pages matching credential harvesting patterns
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects compromised host participating in botnet C2 beaconing
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects credential stuffing attacks targeting account takeover for infrastructure abuse
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects large HTTP PUT requests (over 50KB) directed towards common cloud storage services (Amazon S3, Azure Blob Storage, Google Cloud Storage). This activity could indicate data exfiltration to an external cloud account.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects HTTP PUT requests to s3.amazonaws.com that include the 'x-amz-copy-source' header and have a data size greater than 1000 bytes. This combination of indicators suggests an attempt to copy data from one S3 bucket to another, potentially indicating data exfiltration to an attacker-controlled AWS account.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects HTTP traffic indicating a potential cloud service compromise for cryptomining. Specifically, it looks for HTTP requests to 'ec2.amazonaws.com' with the URI containing 'RunInstances' and the client body containing 'p3' (case-insensitive). This combination suggests an attempt to provision EC2 instances, possibly for cryptomining, using a compromised AWS account.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects network traffic patterns indicative of the XMRig cryptominer communicating with a mining pool. Specifically, it looks for HTTP POST requests to the URI '/api/v1/jobs' with 'job_id' present in the client body, which is a common behavior for XMRig when requesting mining jobs.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
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