Detections

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

5,158 detections

Detects wildcard TLS certificates on cheap TLDs commonly used for attack infrastructure
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects Kerberoasting attack via high-volume Kerberos TGS requests
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects Bluetooth OBEX protocol data transfers used for physical data exfiltration
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
103
Detects HTTP application-layer flood attacks for denial of service impact
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
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
This rule detects the use of a suspicious wildcard certificate in the TLS handshake where the certificate subject contains a wildcard character followed by a domain name with a specific pattern (6 to 12 alphanumeric characters) and a top-level domain (TLD) from a list associated with malicious activities (xyz, top, club, icu). This pattern is often observed in attack infrastructure, particularly for phishing or command and control (C2) servers, to make them appear more legitimate or to facilitate rapid domain generation. The rule specifically looks for '*.domain.tld' where 'domain' is 6-12 chars and 'tld' is one of the specified suspicious TLDs.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
008
Detects SSH connections between internal hosts indicating lateral movement
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects creation of malicious inbox rules via Exchange Web Services for persistence
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects GRE encapsulation used to traverse network boundaries and bypass controls
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects LDAP-based modification of authentication configurations for credential theft
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects access to underground exploit kit purchase or sales platforms
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects self-signed TLS certificates on suspicious domains commonly used for C2
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
Detects LDAP account modifications used to maintain persistent access
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects HTTP POST requests to pastebin.com's API for pasting content, specifically targeting the '/api/api_paste.php' endpoint. It triggers if the size of the data being uploaded is greater than 1000 bytes, indicating a potential data exfiltration attempt to a public text storage site.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects large data transfers (over 65000 bytes) to a Server Message Block (SMB) share that contains the string "USBSTOR" in its content. This combination suggests data exfiltration to removable media, as "USBSTOR" is often associated with USB storage devices. The rule uses a threshold of 20 such transfers within 60 seconds from the same source IP to trigger an alert, indicating a sustained large data transfer activity.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects potential data exfiltration over Bluetooth Network Encapsulation Protocol (BNEP) by monitoring UDP traffic on port 3232. It triggers an alert if more than 5 such packets are observed from a single source within a 60-second window, indicating a possible attempt to transfer data out of the network via Bluetooth.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects attempts to overwrite router firmware via an SSH session. It specifically looks for the string "flash write" within TCP traffic directed to port 22 (SSH) on the home network. This activity is indicative of an attacker attempting to modify the router's operating system, potentially for persistence, backdooring, or other malicious purposes.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects a direct User Datagram Protocol (UDP) flood Denial of Service (DoS) attack. It triggers an alert if more than 1000 UDP packets are observed targeting a single destination within a 5-second window. This high volume of UDP traffic is indicative of an attempt to overwhelm a target system or network resource, making it unavailable to legitimate users.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects internal network traffic to port 3128, which is commonly used by Squid proxy servers. The rule is specifically looking for a high volume of such connections (10 connections within 60 seconds from the same source IP) within the home network, suggesting the use of a Squid proxy for internal command and control (C2) routing. The 'flow:to_server,established' indicates that the rule triggers on established connections from a client within the home network to a server within the home network on port 3128.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects the use of MQTT (Message Queuing Telemetry Transport) over TLS on port 8883, specifically identifying it as a potential encrypted Command and Control (C2) channel. It triggers an alert if there are at least 5 established TCP connections to port 8883 from a single source within a 60-second window, indicating persistent communication often associated with C2 activities.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
This rule detects non-HTTPS/non-HTTP traffic attempting to tunnel over TCP port 443. It specifically looks for established TCP connections to port 443 where the application layer protocol is neither TLS nor HTTP, indicating potential covert communication or tunneling activity often associated with malware or command and control.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
005
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