Detections

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

219 detections

This rule detects suspicious inter-process communication (IPC) activity involving named pipes. Specifically, it looks for network traffic within the home network ($HOME_NET to $HOME_NET) that contains the string "\\.\pipe\\" (case-insensitive) and has a data payload size greater than 1000 bytes. This pattern is often associated with malware or advanced persistent threats (APTs) using named pipes for communication, especially when large amounts of data are transferred, indicating potential data exfiltration or command and control (C2) activity.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
This rule detects network traffic duplication, specifically looking for the GRE (Generic Routing Encapsulation) protocol (IP protocol 47) being used in a way that suggests traffic mirroring via SPAN or TAP devices. The rule triggers if 10 or more GRE packets are observed from a single source IP within a 30-second window, flowing from a client to a server.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects non-DNS traffic attempting to use port 53, which is typically reserved for DNS queries. This behavior is often indicative of command and control (C2) evasion techniques, where attackers tunnel their C2 communications over a commonly allowed port to bypass firewalls and network monitoring. The rule specifically looks for TCP traffic to port 53 that is not identified as DNS application-layer protocol, originating from the home network, and establishes a flow. A threshold of 5 such events within 30 seconds from the same source IP triggers the alert.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects the presence of GRE (Generic Routing Encapsulation) tunnel traffic (IP protocol 47) originating from any source IP address to the local network. It triggers an alert if three such GRE packets are observed from the same source within a 60-second window. This could indicate an attempt to establish a GRE tunnel, potentially for defense evasion or to bypass network security controls.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
006
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
Bharat Cyber Guardians
5 months ago
003
This rule detects instances where a single remote IP address exhibits a high number of idle network events (more than 200 idle events) and a high total number of network events (more than 500 total events) within a one-minute interval. This pattern can be indicative of Command and Control (C2) communication, where an adversary establishes a connection and then waits for commands, or data exfiltration, where data is sent in bursts with idle periods in between. It highlights unusual network communication patterns that might suggest malicious activity.
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Ankit Mehta@Secvyn
Bharat Cyber Guardians
5 months ago
003
This rule detects attempts to access the command-line interface (CLI) of a network device via Telnet, specifically looking for the 'enable' and 'configure terminal' commands. This indicates an administrative attempt to configure or manage a network device.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects the string "zip -e" within TCP traffic on port 22 (SSH). This string is commonly used to create password-protected zip archives, and its presence in an SSH session could indicate an attempt to prepare data for exfiltration, especially if combined with SSH's secure tunneling capabilities. The rule specifically looks for traffic flowing from the client to the server.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects bulk Server Message Block (SMB) file read activity from a network share. It specifically looks for TCP traffic on port 445 (SMB) from any source within the home network to any destination within the home network, indicating established connections. The rule triggers if it observes 100 or more SMB packets (identified by the content "|FF|SMB") within a 60-second window from a single source IP address. This behavior could be indicative of data collection or exfiltration from network shares.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
004
This rule detects Server Message Block (SMB) access attempts from external sources to internal networks, specifically looking for NTLMSSP (NT LAN Manager Security Support Provider) authentication traffic. It triggers an alert if five such connections are observed from the same source IP within a 60-second window. This could indicate an attempt by a third-party vendor or an attacker to access internal resources via SMB.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects the use of AMQP (Advanced Message Queuing Protocol) on port 5672, specifically looking for the 'AMQP' content within the first 4 bytes of the TCP payload. It triggers an alert if this pattern is observed 5 times within 60 seconds from the same source IP, indicating potential Command and Control (C2) activity using AMQP as a communication channel.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects unusual application traffic on TCP port 8443. It triggers an alert if a source IP address initiates more than 20 TCP connections to port 8443 within a 60-second window. This threshold-based detection aims to identify potentially malicious or anomalous communication patterns that might indicate command and control activity or data exfiltration over a non-standard port often used for HTTPS.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects internal lateral movement attempts within a network using remote services. It specifically looks for TCP traffic originating from and destined to the home network, indicating internal communication. A threshold of 10 connections within 30 seconds from the same source IP is used to identify suspicious activity, suggesting a potential brute-force or rapid connection attempt indicative of lateral movement.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
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 potential Command and Control (C2) communication over SMTP (port 25). It specifically looks for TCP traffic originating from the home network to any destination on port 25, indicating an established connection. A threshold of 10 connections within 300 seconds from the same source IP is set to reduce false positives, suggesting a high volume of SMTP activity that could be indicative of C2.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
003
This rule detects a pattern indicative of ransomware encrypting files over SMB. It specifically looks for TCP traffic on port 445 (SMB) within the home network, containing the byte sequence '|FF|SMB'. A threshold of 500 such events from a single source IP within 30 seconds triggers the alert, classifying it as trojan activity.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
002
This rule detects a potential FTP C2 (Command and Control) channel exhibiting a regular beaconing pattern. It triggers an alert if 10 or more TCP connections are made to port 21 (FTP) from a single source IP address within a 300-second window, indicating established communication from the internal network to an external FTP server. This behavior is characteristic of malware using FTP for C2 communications.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects non-HTTP traffic being tunneled over TCP port 80. It specifically looks for established TCP connections to port 80 where the application layer protocol is not identified as HTTP and the data payload size is greater than 100 bytes. A threshold is applied to trigger an alert if 10 such events occur from the same source IP within 60 seconds. This behavior is often indicative of command and control (C2) communication or data exfiltration attempting to blend in with legitimate web traffic.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule identifies an anomalous surge in network connection attempts to a particular remote IP address. It establishes a baseline of average daily connection counts to each remote IP over the past week. It then compares the current hourly connection count to this baseline, triggering an alert if the current count is more than five times the baseline and surpasses a total of 500 connections within that hour. This could indicate various malicious activities such as data exfiltration, command and control communication, or a denial-of-service attack originating from the monitored environment.
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Ankit Mehta@Secvyn
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Detections.ai Community
5 months ago
108
This rule detects a high volume of outbound TCP communication from the home network to any destination on port 8080. This pattern can indicate a compromised server acting as a proxy or engaging in other suspicious network activity, potentially for resource development or command and control.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
This rule detects bulk phishing campaign delivery by monitoring SMTP traffic for a high volume of emails containing the 'Subject:' header. Specifically, it triggers an alert if 20 or more emails with a 'Subject:' header are sent to the internal network (HOME_NET) on port 25 within a 60-second window from the same source.
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Darshan Thummar@Mighty
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Detections.ai Community
5 months ago
001
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