Detections

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

5,879 detections

KQL Query
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
Detects outbound internet communications generated by rundll32.exe, which is uncommon and frequently associated with malware execution, including ACR Stealer.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
This rule detects devices making a high volume of outbound network connections (more than 1000 connections within a one-minute window) to a single remote IP address. This behavior could indicate a network denial-of-service (DoS) attack originating from the device, or potentially other forms of high-volume network activity such as data exfiltration or scanning.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
205
Detects malicious URLs sent via Microsoft Teams direct messages that contain known phishing Top-Level Domains (TLDs). The rule specifically looks for messages in one-on-one chats containing external links with TLDs commonly associated with phishing, such as '.ru', '.dev', '.xyz', and others, which could indicate Phishing-as-a-Service (PhaaS) infrastructure or device code lure paths.
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Lacey Cochrane@NullVectorX
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XQL Threat Forge
5 months ago
110257
Detects web requests containing the specific user-agent or custom secret headers used by the Moika campaign beacon to retrieve its stage 2 payload.
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Nate Dunning@nateossprey
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Ossprey Open Source Supply Chain Detections
5 months ago
204
Detects interactive shell execution within a container in a production, using 'exec'. The execution of `cat`, followed by network connections. This could be communicating with a service that runs arbitrary commands.
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Danny Y@zendannyy
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Detections.ai Community
5 months ago
004
Detects a device making an unusually high number of unique outbound network connections to different remote IP addresses within a short time frame (5 minutes). This behavior can indicate various malicious activities such as network scanning, botnet activity, or data exfiltration to multiple external hosts.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
003
Detects outbound network connections from web server processes to steamcommunity.com, which is used by this malware to fetch steganographically encoded C2 payloads from profile comments.
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Luís Marques@remotecodeexecution
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SIBS Cyberwatch
5 months ago
005
Detects network connections to known CountLoader C2 domains based on McAfee Labs analysis. This rule identifies outbound network traffic from devices to a predefined list of Command and Control (C2) domains associated with the CountLoader malware. The detection logic specifically looks for the presence of these domains in the 'RemoteUrl' field of network events.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
5 months ago
70121
This rule detects potential command and control (C2) communications over non-standard ports. It identifies devices that make a high number of network connections to distinct remote IP addresses on ports other than common ones (80, 443, 53, 22, 21, 25, 110, 143, 993, 995) and not to private IP ranges. The rule aggregates connection counts and distinct remote IPs over 15-minute intervals and flags activity where there are more than 30 connections and more than 2 distinct remote IPs.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
002
Identifies network connections to known C2 and dropper infrastructure associated with the Amatera Stealer 4.0.2 Beta and ClickFix campaign. Network indicators provide a reliable detection mechanism for compromised hosts attempting to download secondary payloads or exfiltrate data.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
5 months ago
3077
Detects script engines (wscript.exe, mshta.exe, cscript.exe) making outbound network connections to Cloudflare Workers domains (*.workers.dev). This is a primary C2 channel utilized by Gamaredon for GammaLoad payload delivery and beaconing.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
5 months ago
3076
Detects network connections originating from the systeminfo.exe process. This activity is suspicious because systeminfo.exe is a legitimate system enumeration tool not typically expected to initiate outbound network connections. This behavior has been observed in malware campaigns, such as CountLoader, which injects a cryptocurrency clipper into systeminfo.exe to communicate with C2 servers and the Ethereum blockchain.
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Tim Peck@timpeck
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Detections.ai Community
6 months ago
20151
Detects the ClickFix paste-and-run initial-access primitive used by KongTuke and other groups. This involves `explorer.exe` spawning PowerShell with defense-evasion arguments (`-NoProfile`, `-ExecutionPolicy Bypass`, `-WindowStyle Hidden`) and a downloader chain targeting cloud file-sharing services. The combination of `explorer.exe` parent (user typing into Run dialog), hidden execution flags, `Invoke-WebRequest`, and `Expand-Archive` in one command line is the defining fingerprint of the technique.
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Tim Peck@timpeck
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Detections.ai Community
6 months ago
340845
Detects network traffic to IP addresses confirmed to host Tycoon2FA post-takedown components, including link management, credential harvesting, and kill switch infrastructure.
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Elgonad .@elgonad
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Detections.ai Community
6 months ago
00116
Detects outbound network connections to known C2 domains associated with the Mini Shai-Hulud supply chain worm, used to exfiltrate stolen credentials from developer machines and CI/CD pipelines.
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Brandon Rodriguez@BMRodriguez
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Federal Signal Detections
6 months ago
140365
Detects DNS lookups and outbound network connections to known PhantomRaven command and control (C2) infrastructure, including specific domains and IP addresses. The rule also specifically identifies potential data exfiltration attempts to the '/mozbra.php' endpoint.
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Aitor Fernández@DarkW0lf
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Detections.ai Community
6 months ago
70358
Detects the Node.js process making external DNS requests to api64.ipify.org, a behavior used by the PhantomRaven payload to discover the host's public IP address.
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Elgonad .@elgonad
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Detections.ai Community
6 months ago
30634
Detects network connections to known PhantomRaven Wave 5 command-and-control infrastructure. PhantomRaven is an NPM supply chain attack targeting DeFi, Cloud, and AI developers.
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Aitor Fernández@DarkW0lf
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Detections.ai Community
6 months ago
40347
Detects DNS queries or network connections to known PhantomRaven Wave 5 command-and-control infrastructure (domains and IP addresses). This rule identifies communication with specific malicious domains and IP addresses associated with the PhantomRaven campaign, indicating potential compromise or attempted communication with adversary infrastructure.
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Ethan Andrews@eandrews
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Federal Signal Detections
6 months ago
50310
KQL Query
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Ankit Mehta@Secvyn
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Detections.ai Community
6 months ago
40517
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