Detections

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

5,876 detections

This rule detects potential brute force or enumeration attempts against an IIS web server by identifying a high volume of access denied (HTTP 401 or 403) responses from a single IP address within a one-hour window. A count of 20 or more such responses from the same IP is considered suspicious.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
001
This rule detects network connections initiated by the 'teams.exe' process to public IP addresses. It specifically looks for outbound connections from the Microsoft Teams application to external, non-private IP ranges. This could be used to monitor unusual external communication patterns from Teams, although the specific intent without further context is unclear.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
000
This rule detects potential data exfiltration attempts over non-standard network ports. It identifies devices that establish more than 5 network sessions to external (non-private IP) destinations on ports other than common ones like 80 (HTTP), 443 (HTTPS), 21 (FTP), 22 (SSH), 25 (SMTP), 110 (POP3), 143 (IMAP), 993 (IMAPS), and 995 (POP3S) within a one-hour window. This behavior can indicate an adversary attempting to bypass network monitoring by using less common ports for data transfer.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
6015
This rule detects HTTP requests to known threat intelligence portals associated with dark web monitoring. It specifically looks for hostnames containing 'intel471', 'kela.io', 'recordedfuture', or 'flashpoint'. This could indicate an analyst or system accessing threat intelligence, or potentially an adversary performing reconnaissance.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects access to known dark web credential markets by inspecting HTTP host headers for specific domain patterns. It triggers an alert if a client on the home network attempts to connect to 'genesis.market', 'russianmarket', or '2easy.shop'. This indicates potential reconnaissance or direct access to platforms where stolen credentials are traded.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects attempts to download raw payload files (PowerShell scripts, executables, DLLs, batch files, VBScripts, Python scripts, or shell scripts) from raw.githubusercontent.com. This activity is often associated with adversaries attempting to retrieve malicious tools or scripts from code repositories.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects HTTP requests made to the Shodan API (api.shodan.io). This activity is often associated with reconnaissance, where an attacker or security researcher uses Shodan to gather information about internet-connected devices and services. The rule specifically looks for the 'api.shodan.io' string within the HTTP host header, indicating an attempt to query the Shodan service.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects potential Tor network traffic by looking for specific byte patterns (TLS handshake ClientHello with version 1.0 or 1.1) in TCP traffic flowing from the internal network to any external destination. It uses a threshold of 3 occurrences within 60 seconds from the same source IP to reduce false positives. The rule specifically targets the initial bytes of a TLS handshake, which is a common characteristic of Tor's encrypted communication.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
103
This rule detects HTTP requests where the User-Agent header appears to be faked or malformed. Specifically, it looks for a User-Agent string that starts with 'Mozilla/5.0' followed by an opening parenthesis, and then contains at least 200 characters before a closing parenthesis. This pattern is often used by malicious actors to evade detection by making their User-Agent string unusually long and potentially obfuscated, while still mimicking a common browser prefix.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects network connections to TCP port 3334, which is commonly used by the Stratum protocol for cryptocurrency mining. The rule specifically looks for the initial SYN packet (flags:S) of a TCP connection originating from the home network ($HOME_NET) to any destination. This activity is indicative of potential cryptomining operations within the monitored network.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects outbound network connections initiated by 7-Zip processes. This could indicate compromise of the 7-Zip application, potentially through exploitation of vulnerabilities like CVE-2026-48095, leading to data exfiltration or command and control communication.
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Daniel Jeremiah@daniyyell
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Detections.ai Community
5 months ago
5032
Detects network connections to the specific local port 8738 used by the IronWorm Exodus wallet injection module to exfiltrate stolen seed phrases and passwords. This rule specifically looks for outbound connections from the 'exodus.exe' process to localhost on port 8738.
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Ethan Andrews@eandrews
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Federal Signal Detections
5 months ago
3012
This rule detects attempts to retrieve C2 configuration from Pastebin, specifically looking for HTTP requests to 'pastebin.com' that include '/raw/' in the URI. It uses a threshold of 5 occurrences within 300 seconds from the same source to reduce false positives.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects HTTP responses from a web server to a client that contain JavaScript code attempting to redirect the user's browser. Specifically, it looks for the string "window.location.replace" within the HTTP response body (file.data) when the HTTP referer header indicates the request originated from Google or Bing search results. This pattern is often associated with content injection attacks where malicious code is injected into legitimate search results to redirect users to malicious sites.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects unusual network beaconing activity from processes. It identifies processes that make more than 50 network connections within a 15-minute window to distinct remote IP addresses and ports, excluding common legitimate processes like svchost.exe, chrome.exe, msedge.exe, and explorer.exe. The rule then enriches this information with the last seen time of the process.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
4012
Detects network connections over common exfiltration ports (80, 443, 53) to external IP addresses originating from executables running out of uncommon, temporary, or public directories. This behavior frequently indicates custom or unrecognized malware binaries conducting data exfiltration or establishing Command and Control (C2) communication.
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Ebuka Felix@ninja
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Detection & Hunting Community
5 months ago
106
This rule detects a high volume of successful network connections to common web ports (80, 443, 8080, 8443) where the remote URL contains keywords like 'version' or 'software'. This pattern could indicate an adversary performing reconnaissance to identify installed software and their versions, potentially looking for vulnerabilities or specific applications to target. The threshold of 10 such activities within an hour for a single device is set to flag anomalous behavior.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
001
Detects devices making a high volume (5 or more per hour) of successful network connections to remote URLs containing 'update' or 'patch' on port 443 (HTTPS). This could indicate legitimate system updates, but also potentially malicious update checks or beaconing activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
001
This rule detects a high volume of network connection retries (more than 500 within a one-minute window) to a distinct remote IP address. This behavior can be indicative of a network denial-of-service (DoS) attack, where an attacker attempts to overwhelm a target by repeatedly trying to establish connections.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
001
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
Bharat Cyber Guardians
5 months ago
001
This rule detects high-volume data exfiltration attempts over common HTTPS ports (443 or 8443). It identifies network connections where more than 1MB of data is sent in a single connection, then aggregates these connections over one-hour intervals per device and remote IP. Finally, it flags any device that has sent a total of 50MB or more within that hour to a specific remote IP, indicating potential data exfiltration to a command and control server.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
001
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