Search Results for "network tool"

N-ETHER (Network Enumeration Tool for Host Exploration and Reconnaissance) is a robust and highly automated Python script designed to streamline the critical initial phases of network security auditing and penetration testing. It’s core purpose is to perform fast, comprehensive, and consistent host and port discovery across single targets or large lists of IP addresses.

Deploys a secure VPC on AWS with public/private subnets using Terraform. This tool provides a calculator and generator for AWS VPC Terraform configurations. It allows you to quickly scaffold a secure VPC with multiple subnets. Quick Start To use this tool, run the generator: bash # Generate a VPC with 3 subnets python lab_runner.py vpc-gen --cidr 10.10.0.0/16 --subnets 3 --output my_vpc.tf

Passive-Network-Scan-L2/3 is a lightweight, passive network discovery tool that listens on a network interface in promiscuous mode and collects Layer 2 and Layer 3 signalling (ARP, STP, DHCP, mDNS, SSDP). It aggregates discovered hosts by MAC address, attempts to measure passive RTTs for request/response protocols, maintains per-protocol RTT histories and simple service hints, and can emit structured events and a final table in JSON or CSV formats.

This tool simulates network traffic typical of an Industrial Control System (ICS) environment. It generates synthetic Modbus/TCP packets to help test monitoring and intrusion detection systems. Quick Start To use this tool, run the simulator: bash # Run for 30 seconds and save to traffic.log python lab_runner.py ics-sim --duration 30 --output traffic.log

pyWhat is a Python-based identification tool designed to figure out “what” a piece of text or file content represents, especially in security and OSINT workflows. Given inputs such as hex strings, URLs, email addresses, IP addresses, credit card numbers, cryptocurrency wallets, or entire .pcap capture files, it scans for structured patterns and tells you what it finds. The tool is recursive: it can traverse files and directories to extract meaningful entities, which is useful when analyzing malware samples, network captures, or code repositories at scale. ...