Detections

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

3,989 detections

Detects network connections from PowerShell or script interpreters to specific Cloudflare Workers or R2 infrastructure observed hosting steganographic payloads, associated with the 'Evil MSI Background campaign'. This rule identifies attempts to download malicious content from known adversary-controlled Cloudflare resources.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
5011
Detects processes making network requests to the '/api/css.js' endpoint, which is indicative of the ErrTraffic malware.
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Ibrahim Saud@tektrix
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Detections.ai Community
5 months ago
001
This rule detects potential Agent Tesla malware activity by correlating process execution with network connections. It looks for processes named 'agenttesla.exe', 'atsvc.exe', or 'atservice.exe' that execute with command-line arguments indicative of data exfiltration (e.g., 'smtp', 'ftp', 'http.post', 'exfil'). The rule then correlates these process events with outbound network connections to non-private IP addresses, flagging instances where multiple process runs and multiple network connections occur within a 30-minute window.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
005
This rule detects potential command and control (C2) beaconing activity by monitoring network events for specific URL patterns and user agent strings associated with known C2 frameworks like AzureVeil and Adaptix. It identifies beaconing if multiple devices communicate with the same remote IP address using these indicators within a 15-minute window, with more than 5 beacon counts and more than 1 distinct device.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
105
This rule detects anomalous network communication patterns that might indicate Command and Control (C2) activity. It identifies devices making at least 5 connections within a 10-minute window to common web/HTTPS ports (443, 8443, 8080) where the initiating process is not a standard web browser (chrome.exe, firefox.exe, iexplore.exe, msedge.exe). This pattern can suggest non-browser applications establishing frequent connections to C2 servers.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
001
Detects the configuration change that enables the 'external rest endpoint' feature in SQL Server 2025. Threat actors can abuse this feature using sp_invoke_external_rest_endpoint to natively exfiltrate data and establish C2 channels.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
106
Detects network connections to specific API endpoints used by the HarborWatch Agent for Command and Control (C2) communication. This rule helps identify active C2 beaconing and tasking, even if the underlying IP infrastructure changes, by monitoring for unique URI paths like '/api/agent/tasks/' and '/api/heartbeat'.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
3013
Detects network traffic to the primary command and control (C2) IP address (104.207.131.216) over port 16443, which is used by the ClickFix Python Remote Access Trojan (RAT) for malicious communication.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
4010
Detects users clicking malicious links that result in malware payload downloads
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects compromised WordPress sites being used to relay C2 traffic
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects a high volume of web requests (20 or more within 5 minutes from a single IP address) containing keywords commonly associated with denial-of-service (DoS) attacks, performance testing, or reconnaissance activities against web applications. Keywords include 'sleep', 'benchmark', and 'loadtest' in the URI query string.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
Detects serverless function deployments used as C2 infrastructure
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
Detects compromised WordPress sites being used to relay C2 traffic
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects a high volume of web requests (20 or more within 5 minutes from a single IP address) containing keywords commonly associated with denial-of-service (DoS) attacks, performance testing, or reconnaissance activities against web applications. Keywords include 'sleep', 'benchmark', and 'loadtest' in the URI query string.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
This rule detects network connections from devices to a predefined list of known malicious domains. It identifies attempts by internal systems to communicate with command and control servers, phishing sites, or other infrastructure associated with threat actors.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
004
Detects outbound network activity to the known malicious domain sfrclak.com or IP address 142.11.206.73. This behavior may indicate malware beaconing, command-and-control communication, or interaction with attacker-controlled infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
004
Detects C2 beaconing and token validation activity via GitHub API commit searches using the exact strings hardcoded in the Miasma payload. The worm uses these searches to validate connectivity and verify stolen token legitimacy.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
1011
Detects an initial payload downloader, specifically 'Browser_Updater.exe', initiating network connections to retrieve an MSI payload disguised as an 'iis.jpg' file. This rule identifies suspicious network activity based on the process name and specific network indicators (IP address or URL pattern).
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Kaung Khant Ko@kaungkhantko
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Detections.ai Community
5 months ago
309
Detects wscript.exe initiating outbound network connections to non-standard HTTP ports (ports other than 80, 443, or 8080), which aligns with JS.MonoGlyphRAT's C2 communication profile.
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Duo Tech@duotech
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Detections.ai Community
5 months ago
0010
Detects instances where rundll32.exe executes with missing or minimal DLL arguments and subsequently establishes outbound network connections. This behavior is uncommon in legitimate Windows operations and has been observed during ACR Stealer infections, including executions originating from remote SMB shares and memory-loaded payloads.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
308
Detects Node.js or Bun processes making network connections to the GitHub API. This rule is designed to identify potential exfiltration attempts, specifically referencing the Miasma campaign which spoofs a 'python-requests/2.31.0' User-Agent to evade network detection while exfiltrating credentials to api.github.com/repos/.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
10023
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