Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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Detects PowerShell execution performing port checks across multiple internal hosts using Test-NetConnection in a looping construct with output redirected to a log file, indicative of post-compromise reconnaissance (such as LONEPAGE scanning).
Detects potential reconnaissance or port scanning activities against firewall or UTM management interfaces from external IP addresses. The rule identifies sources that trigger a high volume of blocked or denied attempts across multiple management ports (e.g., SSH, HTTP/S, GUI ports) within a one-hour window.
Detects PowerShell command execution that combines typical Active Directory or system reconnaissance commands with potential persistence mechanisms, which is a common indicator of post-exploitation activity.
The following analytic detects cloud API calls executed by user roles that have not previously run these commands. It leverages the Change data model in Splunk to identify commands executed by users with the user_type of AssumedRole and a status of success. This activity is significant because new commands from different user roles can indicate potential malicious activity or unauthorized actions. If confirmed malicious, this behavior could lead to unauthorized access, data breaches, or other damaging outcomes by exploiting new or unmonitored commands within the cloud environment.
Detects potential reconnaissance or port scanning activities against firewall or UTM management interfaces from external IP addresses. The rule identifies sources that trigger a high volume of blocked or denied attempts across multiple management ports (e.g., SSH, HTTP/S, GUI ports) within a one-hour window.
Detects a process querying multiple distinct registry keys associated with virtual environments (VMware, VirtualBox, Wine) in a short time window. This behavior is indicative of environmental profiling performed by malware (such as 2CLoader) to detect sandbox or analysis environments prior to malicious payload execution.
Detects a specific multi-stage exfiltration pattern characterized by initial reconnaissance/fingerprinting probes against sensitive service endpoints (/health, /docs, /openapi.json) followed by unauthorized access to artifact storage endpoints (/files or /file?name=) from the same device against the same host within a short timeframe.
Detects instances where the IIS worker process (w3wp.exe) spawns the Windows command shell (cmd.exe) to execute common reconnaissance commands such as whoami, hostname, systeminfo, and net user. This behavior is strongly indicative of post-exploitation activity following a successful web shell deployment on a web server.
Detects instances where the IIS worker process (w3wp.exe) spawns the Windows command shell (cmd.exe) to execute common reconnaissance commands such as whoami, hostname, systeminfo, and net user. This behavior is strongly indicative of post-exploitation activity following a successful web shell deployment on a web server.
Detects network traffic associated with Wazza phishkit anti-bot gates, including beacon communications, TLS SNI patterns, fingerprint iframe URIs, and challenge-platform requests.
This rule detects a high frequency of SMB (port 445) connection attempts from a single internal source host to a large number of distinct internal destination hosts within a short timespan. This activity is indicative of internal network scanning, host discovery, or automated lateral movement attempts using SMB.
Detects unauthorized access, reading, or downloading of sensitive NetScaler system files, including configuration files (ns.conf), licensing files, and cryptographic material (private keys/certificates). This activity often indicates post-exploitation reconnaissance, staging, or data theft attempts following initial access.
Detects potential reconnaissance or port scanning activities against firewall or UTM management interfaces from external IP addresses. The rule identifies sources that trigger a high volume of blocked or denied attempts across multiple management ports (e.g., SSH, HTTP/S, GUI ports) within a one-hour window.
Detects repeated attempts to perform IIS 8.3 tilde short-filename enumeration. This reconnaissance technique exploits the legacy DOS 8.3 file naming convention to identify the existence and naming of files or directories on a Microsoft IIS web server.
This rule detects instances where a process matching a known sideload-vulnerable binary (such as werfaultsecure or wuauclt) spawns a PowerShell process that executes commands commonly used for Active Directory reconnaissance and system information discovery. This behavior is indicative of post-compromise activity, specifically reconnaissance phases performed by malware loaders like Lorem Ipsum.
Detects a suspicious sequence of events where Kubernetes API resources (namespaces, secrets, configmaps, pods, or nodes) are enumerated, followed by a search query against the Slack API, indicative of a potential reconnaissance phase or sandbox escape attempt.
This analytic identifies non-browser processes reaching out to public IP lookup or geolocation services,
such as `ipinfo.io`, `icanhazip.com`, `ip-api.com`, and others.
These domains are commonly used by legitimate tools, but their usage outside of browsers may indicate
network reconnaissance, virtual machine detection, or staging by malware.
This activity is observed in post-exploitation frameworks, stealer malware, and advanced threat actor campaigns.
The detection relies on Cisco Network Visibility Module (NVM) telemetry and excludes known browser
processes to reduce noise.
such as `ipinfo.io`, `icanhazip.com`, `ip-api.com`, and others.
These domains are commonly used by legitimate tools, but their usage outside of browsers may indicate
network reconnaissance, virtual machine detection, or staging by malware.
This activity is observed in post-exploitation frameworks, stealer malware, and advanced threat actor campaigns.
The detection relies on Cisco Network Visibility Module (NVM) telemetry and excludes known browser
processes to reduce noise.
This rule detects potential post-exploitation activity where a web server process spawns a command shell, executes system discovery commands, and immediately initiates an outbound network connection. This behavior is indicative of a web-based exploit leading to interactive command execution and subsequent C2 communication.
Detects the execution of discovery or credential access utilities (e.g., whoami, net, reg, ldapsearch) spawned by Java-based server processes like java.exe or tomcat.exe. This activity is often indicative of an attacker leveraging a vulnerable web application to perform reconnaissance or credential harvesting on the host system.
Detects the execution of common enumeration tools and commands often associated with ransomware-precursor behavior. This includes the use of AdFind, dsquery, net.exe, and nltest for domain account, group, and trust discovery, as well as the execution of BloodHound/SharpHound collection activities.
Detects the execution of known Active Directory reconnaissance tools, specifically AdFind and SharpHound/BloodHound. These tools are commonly used by adversaries to enumerate domain objects, users, computers, groups, and trusts, which are essential precursors to further lateral movement and privilege escalation within a domain environment.
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