Detections

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

5,879 detections

This rule detects processes that load .NET-related modules (clr.dll or dotnet.exe) and maintain a network connection (port 80 or 443) for more than one hour during standard business hours. This behavior is indicative of potentially persistent, long-running .NET-based applications or potentially malicious tools maintaining persistence and C2 communication.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects network connections originating from a process and directed towards the local loopback interface (127.0.0.1 or ::1) on non-privileged, non-SMB ports (>= 1024 and != 445). This pattern can identify inter-process communication (IPC) over local network sockets which may be used by malware or malicious scripts to bypass security controls or communicate with local services.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
This rule detects network connections to specific domains known to be associated with malicious activity or to a suspicious API pattern often used by malware for command and control. The domains 'openanyworddocument.com', 'kittyfreespace.com', 'searchdocumentsfree.com', 'autoupdatet.com', 'autoupdaters.com', and 'autoupdatethis.com' have been observed in various campaigns. The regex pattern '/api/(init|cl)/[0-9a-fA-F]{8}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{4}-[0-9a-fA-F]{12}' targets a common API endpoint structure used for initialization or client communication by certain types of malware, often involving a GUID.
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nomit vyas@xoxo
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Detections.ai Community
4 months ago
507
Detects network connections initiated by a non-Microsoft signed rundll32.exe process. The rule identifies processes named rundll32.exe that are not signed by Microsoft and are communicating over common ports associated with malicious activity, specifically focusing on external IP addresses and multiple connection attempts.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
003
Detects network activity associated with the BadBlocker for YouTube browser extension (ID: cmedhionkhpnakcndndgjdbohmhepckk). The rule identifies DNS queries and outbound network connections to known command-and-control (C2) domains (api.adblock-for-youtube.com, get.adblock-for-youtube.com) used by the extension to exfiltrate session cookies and other sensitive browser data.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
Detects outbound network traffic from browser processes to known BadBlocker extension command-and-control infrastructure (api.adblock-for-youtube.com or get.adblock-for-youtube.com), followed by subsequent outbound HTTPS connections to arbitrary external domains. This sequence is indicative of malicious browser extension activity involving the exfiltration of session cookies or authentication tokens from the victim's browser.
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
This rule detects network connections from internal hosts to identified C2 or phishing infrastructure associated with the threat actor group UNC1151 (also known as Ghostwriter). It monitors both host-based network events (via DeviceNetworkEvents) and centralized network security logs (via CommonSecurityLog) for traffic targeting a curated list of known malicious IP addresses.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
601
Detects HTTP traffic where the User-Agent header references Regasm or Regsvcs, which are trusted Windows utilities often abused by attackers to proxy execution of malicious code (Living-off-the-Land Binary technique).
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects HTTP traffic patterns consistent with data exfiltration to major cloud storage providers (AWS S3, Azure Blob Storage, Google Cloud Storage) using common command-line interface tools like rclone, aws-cli, and AzCopy.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects outbound HTTP POST requests characterized by a specific URL pattern consisting of two segments of 4-16 alphanumeric characters, typically observed in Emotet C2 traffic. The rule specifically matches requests with a Content-Type header set to application/octet-stream, which is indicative of malicious binary payload transfer or communication.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects network traffic originating from internal hosts to external destinations consistent with default Cobalt Strike HTTP Beacon communication patterns. It specifically looks for GET requests containing URI paths commonly associated with default Cobalt Strike profiles (ca, submit.php, updates.rss) combined with a specific, hardcoded User-Agent string associated with Cobalt Strike's default configuration.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects outbound HTTP POST requests where the Content-Length header indicates a data transfer of 5MB or greater. This pattern is indicative of potential unauthorized data exfiltration over the web protocol.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects the transmission of a Metasploit Meterpreter stage over HTTP, identified by an application/octet-stream response containing the DOS MZ header signature.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects outgoing HTTP POST requests containing patterns commonly associated with Emotet command-and-control (C2) communication, specifically identifying the use of an application/octet-stream content type combined with a specific, randomized URI path structure consisting of alphanumeric segments.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects network traffic consistent with the default Cobalt Strike Malleable C2 jQuery profile. The rule monitors for GET requests to the URI '/jquery-3.3.1.min.js' accompanied by a specific 'Accept' HTTP header, which is a known indicator of default Cobalt Strike beacon activity.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects potential command and control (C2) activity related to the Qakbot malware. It specifically monitors for established outbound TLS traffic over non-standard ports (ports other than 443) where the Server Name Indication (SNI) field contains a numeric IPv4 address instead of a domain name, which is a characteristic behavior of Qakbot C2 infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects outbound network connections from endpoint processes to domains associated with a malicious browser extension. The extension is known to fetch scriptlets that enable main-world JavaScript injection and potential credential theft (e.g., document.cookie).
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Ibrahim Saud@tektrix
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Detections.ai Community
4 months ago
005
Detects HTTP GET requests originating from internal network hosts to external destinations that match known Emotet C2 communication patterns, specifically those using hardcoded URI paths such as '/wp-content/', '/wp-admin/', or '/tmp/' combined with the 'Accept-Encoding: identity' header.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects outbound HTTP POST requests where the Content-Length header indicates a transfer size exceeding 10MB to external (non-HOME_NET) addresses. This pattern is indicative of potential data exfiltration via HTTP.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
Detects outbound HTTP POST requests characteristic of QakBot malware command and control (C2) activity. The rule identifies a specific combination of a hardcoded User-Agent string ('Trident/7.0') and a URI pattern consisting of 4 to 32 alphanumeric characters ending in .php.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
This rule detects the outbound transmission of email attachments via SMTP (ports 25 and 587) that contain archived file formats (zip, 7z, tar.gz, tgz). Attackers often compress collected data into archives to facilitate exfiltration and minimize the time required for data transfer.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
001
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