Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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The following analytic detects potential scanning activities within a Kubernetes environment. It identifies unauthorized access attempts, probing of public APIs, or attempts to exploit known vulnerabilities by monitoring Kubernetes audit logs for repeated failed access attempts or unusual API requests. This activity is significant for a SOC as it may indicate an attacker's preliminary reconnaissance to gather information about the system. If confirmed malicious, this activity could lead to unauthorized access to sensitive systems or data, posing a severe security risk.
The analytic identifies potential scanning activities within a Kubernetes environment by unauthenticated IP addresses. It leverages Kubernetes audit logs to detect multiple unauthorized access attempts (HTTP 403 responses) from the same source IP. This activity is significant as it may indicate an attacker probing for vulnerabilities or attempting to exploit known issues. If confirmed malicious, such scanning could lead to unauthorized access, data breaches, or further exploitation of the Kubernetes infrastructure, compromising the security and integrity of the environment.
WinPEAS is a widely used privilege escalation and discovery tool. This rule detects the execution of winPEAS by monitoring process creation events for specific filenames and command-line arguments. It also looks for command-line options related to information gathering (applications, browser, events, files, processes, services, windows credentials) and attempts to download the tool from its GitHub repository. The rule aims to identify potential privilege escalation attempts and extensive system discovery activities by adversaries.
WinPEAS is a script that search for possible paths to escalate privileges on Windows hosts. The checks are explained on book.hacktricks.xyz
This rule detects when a Python process initiates an outbound network connection. While this activity can be legitimate for tasks like package installation or updates, it can also be indicative of malicious behavior, such as a Python-based script establishing communication with a command and control (C2) server or performing network reconnaissance. The rule includes filters to reduce false positives from common activities like Anaconda updates, Jupyter Notebook local communication, and 'pip install' commands.
Detects a Python process initiating a network connection. While this often relates to package installation, it can also indicate a potential malicious script communicating with a C&C server.
Detects the execution of 'netscan.exe' from SoftPerfect, a network scanning application. This tool is frequently used by threat actors for network reconnaissance to map out network architecture within compromised environments.
Detects command line patterns associated with the use of Pnscan for sending and receiving binary data across the network. This behavior has been identified in a Linux malware campaign targeting Docker, Apache Hadoop, Redis, and Confluence and was previously used by the threat actor known as TeamTNT.
Detects command line patterns associated with the use of Pnscan for sending and receiving binary data across the network.
This behavior has been identified in a Linux malware campaign targeting Docker, Apache Hadoop, Redis, and Confluence and was previously used by the threat actor known as TeamTNT
This behavior has been identified in a Linux malware campaign targeting Docker, Apache Hadoop, Redis, and Confluence and was previously used by the threat actor known as TeamTNT
Detects usage of SoftPerfect's "netscan.exe". An application for scanning networks.
It is actively used in-the-wild by threat actors to inspect and understand the network architecture of a victim.
It is actively used in-the-wild by threat actors to inspect and understand the network architecture of a victim.
Detects the execution of NimScan, a port scanning utility. This rule identifies NimScan based on its executable name ('NimScan.exe') and specific IMPHASH values associated with different versions of the tool. Adversaries have been observed using this utility to scan for open ports on remote hosts within compromised environments.
Detects usage of NimScan, a portscanner utility.
In early 2025, adversaries were observed using this utility to scan for open ports on remote hosts in a compromised environment.
This rule identifies the execution of NimScan based on the process image name and specific hash values associated with different versions of the tool.
In early 2025, adversaries were observed using this utility to scan for open ports on remote hosts in a compromised environment.
This rule identifies the execution of NimScan based on the process image name and specific hash values associated with different versions of the tool.
Detects command-line keywords indicative of the execution of the WinPwn tool, which is used for Windows and Active Directory reconnaissance and exploitation. This rule specifically looks for 'Offline_Winpwn', 'WinPwn ', 'WinPwn.exe', or 'WinPwn.ps1' in the command line.
Detects scriptblock text keywords indicative of potential usage of the tool WinPwn. WinPwn is a tool for Windows and Active Directory reconnaissance and exploitation. The rule specifically looks for 'Offline_Winpwn', 'WinPwn ', 'WinPwn.exe', or 'WinPwn.ps1' within PowerShell script block logs.
Detects the execution of common network scanning and reconnaissance tools on Linux systems. These tools are often used by adversaries to enumerate local or remote network services, identify open ports, and gather information about network topology and available hosts. The rule specifically looks for the execution of tools like netcat (when not in listen mode), nmap, hping, naabu, autorecon, and telnet.
Detects execution of network scanning and reconnaisance tools. These tools can be used for the enumeration of local or remote network services for example.
Detects the execution of 'Advanced Port Scanner' based on its image name, original file name, description, or specific command-line arguments. This tool is often used for network reconnaissance.
Detects the execution of Advanced IP Scanner, a tool often used by ransomware groups for network discovery. The rule identifies the tool by its image name, original file name, description, or specific command-line arguments indicating portable execution.
Detects the creation of temporary files associated with Advanced IP Scanner, a tool often used by ransomware groups for network discovery. This rule specifically looks for the creation of files within the user's temporary directory that contain the string '\AppData\Local\Temp\Advanced IP Scanner 2'.
Detects the execution of common network scanning or service enumeration tools like telnet, nmap, and netcat on Linux systems, as captured by auditd logs. This activity can indicate an adversary attempting to discover local or remote network services.
Detects the use of common network scanning tools like netcat, nmap, and telnet on macOS systems. The rule specifically looks for process creation events where the image path ends with '/nc', '/netcat', '/nmap', or '/telnet'. It includes a filter to exclude 'netcat' commands containing 'l' (often used for legitimate listening modes), aiming to reduce false positives related to simple network listening.
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