Detections

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

34 detections

Detects outbound HTTP POST requests characteristic of Emotet malware command-and-control beaconing. The rule identifies communication to an external network using a specific URI pattern (4-16 alphanumeric characters), a 'Content-Type: application/octet-stream' header, and a legacy Internet Explorer 7.0 User-Agent, while explicitly excluding common non-binary or HTML response formats in the request body.
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Ankit Mehta@Secvyn
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Detections.ai Community
29 days ago
001
Detects HTTP traffic patterns characteristic of Emotet malware command and control (C2) beaconing, specifically looking for POST requests with random alphanumeric URIs (4-16 characters) and a specific Accept-Encoding header (gzip, deflate).
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
005
Detects outbound HTTP POST requests to suspicious URIs and subsequent inbound responses containing executable binary (PE) signatures, characteristic of Emotet malware command-and-control (C2) activity.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
004
Detects HTTP traffic patterns characteristic of Emotet malware command and control (C2) beaconing, specifically looking for POST requests with random alphanumeric URIs (4-16 characters) and a specific Accept-Encoding header (gzip, deflate).
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
004
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
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Detections.ai Community
4 months ago
004
Detects outbound HTTP POST requests to external networks that match a known Emotet C2 traffic pattern. The rule specifically looks for HTTP POST requests using an 'application/x-www-form-urlencoded' Content-Type and a URI structure consisting of randomized alphanumeric segments (4-20 characters long). This structure is characteristic of Emotet's communication with its command-and-control infrastructure.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
003
Detects HTTP POST requests characteristic of Emotet Epoch 4 and 5 C2 communication. The rule monitors for specific URI patterns, the presence of a 'Cookie' header, and a base64-encoded request body exceeding 80 characters, which are indicative of Emotet malware beaconing activity.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects outbound HTTP POST requests to external networks that match a known Emotet C2 traffic pattern. The rule specifically looks for HTTP POST requests using an 'application/x-www-form-urlencoded' Content-Type and a URI structure consisting of randomized alphanumeric segments (4-20 characters long). This structure is characteristic of Emotet's communication with its command-and-control infrastructure.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
002
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
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Detections.ai Community
4 months ago
002
Detects potential Command and Control (C2) communication associated with Emotet malware by monitoring for successful network connections to suspicious remote ports frequently used by the malware. The rule flags endpoints that establish connections to at least three of these high-risk ports within a one-hour window, which is indicative of automated C2 beaconing behavior.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
Detects potential Command and Control (C2) communication associated with Emotet malware by monitoring for successful network connections to suspicious remote ports frequently used by the malware. The rule flags endpoints that establish connections to at least three of these high-risk ports within a one-hour window, which is indicative of automated C2 beaconing behavior.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
106
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
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 to suspicious URIs and subsequent inbound responses containing executable binary (PE) signatures, characteristic of Emotet malware command-and-control (C2) activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects HTTP POST requests characteristic of Emotet Epoch 4 and 5 C2 communication. The rule monitors for specific URI patterns, the presence of a 'Cookie' header, and a base64-encoded request body exceeding 80 characters, which are indicative of Emotet malware beaconing activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
001
Detects potential Command and Control (C2) communication associated with Emotet malware by monitoring for successful network connections to suspicious remote ports frequently used by the malware. The rule flags endpoints that establish connections to at least three of these high-risk ports within a one-hour window, which is indicative of automated C2 beaconing behavior.
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Ankit Mehta@Secvyn
avatar
Detections.ai Community
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
000
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
avatar
Detections.ai Community
4 months ago
000
Detects potential Command and Control (C2) communication associated with Emotet malware by monitoring for successful network connections to suspicious remote ports frequently used by the malware. The rule flags endpoints that establish connections to at least three of these high-risk ports within a one-hour window, which is indicative of automated C2 beaconing behavior.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
002
This rule detects network connections from common user applications (explorer.exe, outlook.exe, word.exe) to specific remote ports (8080, 443, 445) where the remote URL contains known Emotet indicators. This helps identify potential Emotet malware command and control (C2) or dropper activity.
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Ankit Mehta@Secvyn
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Detections.ai Community
4 months ago
0011
This rule detects network connections from common user applications (explorer.exe, outlook.exe, word.exe) to specific remote ports (8080, 443, 445) where the remote URL contains known Emotet indicators. This helps identify potential Emotet malware command and control (C2) or dropper activity.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
4 months ago
105
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