Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This detection identifies outbound IPv4 and IPv6 network connections to non-standard ports that may indicate suspicious network activity, unauthorized communication, or potential command-and-control (C2) traffic.
It excludes commonly used ports for DNS (53), HTTP (80), HTTPS (443), and alternate web services (8000, 8080), along with private, loopback, link-local, multicast, and documentation-only IP ranges to reduce noise.
It excludes commonly used ports for DNS (53), HTTP (80), HTTPS (443), and alternate web services (8000, 8080), along with private, loopback, link-local, multicast, and documentation-only IP ranges to reduce noise.
The following analytic detects potential reverse shell activity by identifying connections involving ports commonly associated with remote access tools, shell listeners, or tunneling utilities.
It leverages Cisco Secure Firewall Threat Defense logs and monitors destination ports against a list of non-standard, high-risk port values often used in post-exploitation scenarios.
Adversaries frequently configure tools like netcat, Meterpreter, or other backdoors to listen or connect over uncommon ports such as 4444 or 2222 to bypass standard monitoring and firewall rules.
It leverages Cisco Secure Firewall Threat Defense logs and monitors destination ports against a list of non-standard, high-risk port values often used in post-exploitation scenarios.
Adversaries frequently configure tools like netcat, Meterpreter, or other backdoors to listen or connect over uncommon ports such as 4444 or 2222 to bypass standard monitoring and firewall rules.
Detects outbound network traffic matching XMRig Monero cryptocurrency miner stratum login behavior originating from an internal host.
Detects potential remote shell behavior where a process named libgcrypt establishes an outbound connection on TCP port 9999 and spawns a shell (such as sh, bash, dash, zsh, or ash) within a short time window.
Detects potential remote shell behavior where a process named libgcrypt establishes an outbound connection on TCP port 9999 and spawns a shell (such as sh, bash, dash, zsh, or ash) within a short time window.
Detects potential remote shell behavior where a process named libgcrypt establishes an outbound connection on TCP port 9999 and spawns a shell (such as sh, bash, dash, zsh, or ash) within a short time window.
The following analytic detects instances where network traffic, identified by port and transport layer protocol as prohibited in the "lookup_interesting_ports" table, is allowed.
It uses the Network_Traffic data model to cross-reference traffic data against predefined security policies.
This activity is significant for a SOC as it highlights potential misconfigurations or policy violations that could lead to unauthorized access or data exfiltration.
If confirmed malicious, this could allow attackers to bypass network defenses, leading to potential data breaches and compromising the organization's security posture.
It uses the Network_Traffic data model to cross-reference traffic data against predefined security policies.
This activity is significant for a SOC as it highlights potential misconfigurations or policy violations that could lead to unauthorized access or data exfiltration.
If confirmed malicious, this could allow attackers to bypass network defenses, leading to potential data breaches and compromising the organization's security posture.
Detects outbound network traffic matching XMRig Monero cryptocurrency miner stratum login behavior originating from an internal host.
Detects outbound network traffic matching XMRig Monero cryptocurrency miner stratum login behavior originating from an internal host.
Detects outbound network traffic matching XMRig Monero cryptocurrency miner stratum login behavior originating from an internal host.
Detects potential remote shell behavior where a process named libgcrypt establishes an outbound connection on TCP port 9999 and spawns a shell (such as sh, bash, dash, zsh, or ash) within a short time window.
Detects potential remote shell behavior where a process named libgcrypt establishes an outbound connection on TCP port 9999 and spawns a shell (such as sh, bash, dash, zsh, or ash) within a short time window.
The following analytic detects file transfers flagged as malware that occurred over non-standard ports (other than 80 and 443). Adversaries may attempt to bypass protocol-based detection or use alternate ports to blend in with other traffic. This analytic identifies these non-conventional flows and surfaces potential evasion techniques. If confirmed malicious this indicate potential malware delivery or other nefarious activity.
The following analytic detects any outbound network connection from an endpoint process to a known suspicious or non-standard port.
It leverages Cisco Network Visibility Module flow data logs to identify potentially suspicious behavior by looking at processes
communicating over ports like 4444, 2222, or 51820 are commonly used by tools like Metasploit, SliverC2 or other pentest, red team or malware.
These connections are worth investigating further, especially when initiated by unexpected or non-network-native binaries.
It leverages Cisco Network Visibility Module flow data logs to identify potentially suspicious behavior by looking at processes
communicating over ports like 4444, 2222, or 51820 are commonly used by tools like Metasploit, SliverC2 or other pentest, red team or malware.
These connections are worth investigating further, especially when initiated by unexpected or non-network-native binaries.
This rule identifies potential command and control (C2) beaconing activity by detecting periodic, low-jitter outbound network connections. It analyzes network logs to find connections to external IP addresses that maintain a consistent frequency over a period of time, specifically flagging hosts that demonstrate repetitive traffic patterns with low variation (jitter). The rule further filters by identifying 'rare' destinations, focusing on remote IPs that have been connected to by three or fewer hosts within the environment, which is a common indicator of targeted C2 infrastructure.
Detects network activity associated with SectopRAT malware. The rule identifies C2 beaconing behavior on a non-standard port using a custom protocol with a specific 5-byte length header and 16-byte initialization vector, filtering out standard HTTP/TLS traffic.
Detects network activity associated with the AMOS (Atomic macOS Stealer) malware, specifically identifying outbound HTTP POST requests to the '/api/t' URI path occurring on non-standard ports. The detection utilizes a threshold-based trigger to identify potential C2 communication heartbeats.
Detects network traffic consistent with a hardcoded C2 channel used by PolinRider or NullReceiver malware families. The rule monitors TCP traffic directed to a specific IP address (193.26.115.131) and port (15152) that contains serialized command/status structures formatted with specific JSON-like content patterns.
Detects network indicators associated with the BambooToken C2 infrastructure, including DNS lookups for specific domains, TLS SNI mismatches, non-standard MQTT port usage, and specific command-and-control tasking keywords within MQTT payloads.
Detects outbound network connections from internal devices to a set of known malicious IP addresses (217.156.122.129, 37.221.66.43) across commonly abused command-and-control ports (8080, 3480, 9998, 9999, 4444).
This rule detects network traffic indicative of the RisePro malware communicating with its Command and Control (C2) infrastructure. It specifically looks for the 'clientsendfile' string within the payload, which acts as a keepalive signal or heartbeat for the RisePro implant.
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