Blackbook of malware domains
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Updated
Jul 10, 2024
Blackbook of malware domains
The goal of this project is to help researchers to analyze traffic encapsulated in SSL or TLS.
A FUSE module to mount captured network data
PcapPlusPlus is a multiplatform C++ library for capturing, parsing and crafting of network packets. It is designed to be efficient, powerful and easy to use. It provides C++ wrappers for the most popular packet processing engines such as libpcap, Npcap, WinPcap, DPDK, AF_XDP and PF_RING.
Cybersecurity content (YouTube videos) | (1) Deep packet inspection analyses - why the typical approach is not enough | (2) Deep Packet Inspection Analysis - Examining One Packet Killers | (3) Remcos RAT threat analysis on Windows including IEC 60870-5-104 traffic
Warning lists to inform users of MISP about potential false-positives or other information in indicators
Poseidon is a python-based application that leverages software defined networks (SDN) to acquire and then feed network traffic to a number of machine learning techniques. The machine learning algorithms classify and predict the type of device.
The goal of this project is to help researchers/investigaters to export the decrypted TLS content into a PCAP
JA4+ is a suite of network fingerprinting standards
Hunt sql commands in pcap.
This repository was designed to help streamline the process of completing the Deakin unit SIT327 Network Forensics.
Write-ups for CTF-like, CyberSec training platforms (BTLO, CyberDefenders) | Repository of forensic artifacts which are useful in real world and CTF investigations
Network Forensic & Anomaly Detection System; tailored for covert channel/network steganography detection
Write-ups for CTF-like, CyberSec training platforms (BTLO, CyberDefenders, Hack The Box Sherlocks)
Filter background traffic from capture files
The Network Traffic Analyzer is a Python script designed for capturing and analyzing network traffic, focusing primarily on DNS traffic. This tool provides users with the capability to monitor network activity in real-time and extract relevant information from captured packets.
IoT Forensics Master Thesis @POLIMI
NETWORK FORENSICS: 25 different honeypots in a single pypi package! (dns, ftp, httpproxy, http, https, imap, mysql, pop3, postgres, redis, smb, smtp, socks5, ssh, telnet, vnc, mssql, elastic, ldap, ntp, memcache, snmp, oracle, sip and irc)
🛰️ A sophisticated network mapper and analyser
A course on "Digital Forensics" designed and offered in the Computer Science Department at Texas Tech University
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