Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potentially malicious use of residential proxies by monitoring for outbound HTTP CONNECT requests originating from consumer devices in the internal network. The use of HTTP CONNECT is a common method for establishing tunnels through proxies to mask C2 communication or facilitate unauthorized access, often associated with botnets or malicious proxy networks.
This rule detects potentially malicious use of residential proxies by monitoring for outbound HTTP CONNECT requests originating from consumer devices in the internal network. The use of HTTP CONNECT is a common method for establishing tunnels through proxies to mask C2 communication or facilitate unauthorized access, often associated with botnets or malicious proxy networks.
This rule detects high-frequency TCP SYN connection attempts originating from external networks targeting common administrative or tunneling ports (1723/PPTP, 1701/L2TP, 22/SSH) on internal systems. The detection uses a threshold of 100 connection attempts within 120 seconds, which is characteristic of automated reconnaissance and network scanning behavior.
Detects network traffic on TCP port 3308 consistent with VectraRAT beaconing, utilizing MessagePack-over-TCP. The rule monitors for established connections to external networks with specific stream size and content characteristics typical of this C2 communication channel.
Detects network traffic on TCP port 3308 consistent with VectraRAT beaconing, utilizing MessagePack-over-TCP. The rule monitors for established connections to external networks with specific stream size and content characteristics typical of this C2 communication channel.
Detects network traffic on TCP port 3308 consistent with VectraRAT beaconing, utilizing MessagePack-over-TCP. The rule monitors for established connections to external networks with specific stream size and content characteristics typical of this C2 communication channel.
Detects network traffic on TCP port 3308 consistent with VectraRAT beaconing, utilizing MessagePack-over-TCP. The rule monitors for established connections to external networks with specific stream size and content characteristics typical of this C2 communication channel.
Detects a host making 3 or more outbound connections within 5 minutes to AWS-hosted IP addresses known to host NJRAT C2 infrastructure from the GTA6 lure campaign, consistent with periodic RAT beaconing rather than a one-off incidental connection.
Detects a host making 3 or more outbound connections within 5 minutes to AWS-hosted IP addresses known to host NJRAT C2 infrastructure from the GTA6 lure campaign, consistent with periodic RAT beaconing rather than a one-off incidental connection.
Detects TCP connections on standard web ports from internal hosts to known IronToll C2 IPs on Tencent/Alibaba Cloud. Scoped to web ports and an established handshake, with a per-source hourly alert cap to reduce repeat noise.
Detects TCP connections on standard web ports from internal hosts to known IronToll C2 IPs on Tencent/Alibaba Cloud. Scoped to web ports and an established handshake, with a per-source hourly alert cap to reduce repeat noise.
Detects network traffic between internal hosts and a known malicious IP address on port 5556, characteristic of Go_RAT (hVNC) command and control communication. This rule monitors for established TCP connections to identify potential C2 beaconing or active remote management sessions by the GapiUpdate campaign.
Detects network traffic between internal hosts and a known malicious IP address on port 5556, characteristic of Go_RAT (hVNC) command and control communication. This rule monitors for established TCP connections to identify potential C2 beaconing or active remote management sessions by the GapiUpdate campaign.
Detects network traffic between internal hosts and a known malicious IP address on port 5556, characteristic of Go_RAT (hVNC) command and control communication. This rule monitors for established TCP connections to identify potential C2 beaconing or active remote management sessions by the GapiUpdate campaign.
Detects established raw-TCP C2 communication sessions associated with the GapiUpdate Go-based RAT, identifying both known malicious infrastructure and behavioral anomalies characteristic of long-lived, encrypted C2 persistence.
Detects established raw-TCP C2 communication sessions associated with the GapiUpdate Go-based RAT, identifying both known malicious infrastructure and behavioral anomalies characteristic of long-lived, encrypted C2 persistence.
Detects high-frequency TCP/445 connection attempts (a 'connect sweep') characteristic of automated SMB share enumeration, which is commonly used for lateral movement reconnaissance. The rule triggers when a threshold of 40 connection requests occurs from a single source within a 30-second window, specifically targeting SMB-related lateral movement behaviors.
Detects anomalous TCP stream reassembly where overlapping segments contain different data. This technique is often used to bypass Network Intrusion Detection Systems (IDS) by presenting different data to the target system than what the IDS inspects.
Detects outbound network traffic from internal hosts to known MeshCentral Command and Control (C2) infrastructure. MeshCentral is legitimate remote monitoring and management (RMM) software that is frequently abused by threat actors to maintain persistent remote access to victim environments. This rule monitors for established TCP connections on specific ports associated with MeshCentral C2 nodes.
Detects outbound network traffic from internal hosts to known MeshCentral Command and Control (C2) infrastructure. MeshCentral is legitimate remote monitoring and management (RMM) software that is frequently abused by threat actors to maintain persistent remote access to victim environments. This rule monitors for established TCP connections on specific ports associated with MeshCentral C2 nodes.
Detects high-rate scanning and automated service probing patterns consistent with network reconnaissance. This includes tracking TCP SYN floods to external segments, excessive HTTP/login requests, and automated fingerprinting probes (e.g., favicon or admin panel enumeration). The rule accounts for common uptime monitoring services to minimize false positives.
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