98 skills found · Page 4 of 4
johanneskopton / Flatten The CurveAgent based 2D virus spread simulation in Python/Qt. For playful investigation on what works best to flatten the curve of the corona virus outbreak 2020.
Unclecheng-li / Traitor VirusTraitor Virus | 东雪莲病毒 | A computer virus (practical joke exactlly)based on python
saed-gpr / Browser OpenerThis virus can opennig the browser until target computer going down! Another viruses :point_down:
errodringer / Virus En PythonNo description available
ziminl / Python CrypterFUD python crypter For anti virus evasion
bighneshpati / Face Mask Detection Using CNNDuring pandemic COVID-19, WHO has made wearing masks compulsory to protect against this deadly virus. In this project we will develop a machine learning project – Real-time Face Mask Detector with Python.
ggfhgg / Python Crawler采用python爬取www.virus.total上的ransomware和miner病毒样本的md5值（拆解shadow-root，使用selenium）
EL-Tools / DdosOfficial Group OF Mr.RiKi ./No System Is Safe | Founder of #PhantomGhost part of #AnonSec #LulzSec #UICF #Codersleet Keterangan Lengkap: Network Crack Programmer Hacking ( NCPH ) Tutorial : ./ Create Virus Trojan, Worm, Dobble Bug And Full Bug MOZILA + Send Packet Target IP / URL ( Down ) ./ Create HTML Script Deface, Shell Backdoor, Telnet 22 ./ Create Script Python. Perl. PHP. Ruby. And SH
Armorix13 / Malware Analyzer And DetectionThis is a portable script written in python used for "Static Analysis" of malwares. Focus on malware PE Headers, Strings, Image Type, MD5 Hash, VirusTotal Analysis. You can skip VirusTotal API Key if dont want to upload your sample on VirusTotal. Supported wherever python is installed (Tested on Linux, Windows). This tool will generate four output files in the same folder as the script: Strings.txt for the extracted strings, PE Analysis.txt for PE headers, VT Basic Scan.txt and VT Scan.txt for virus total analysis.
jg-fisher / Python VirusBasic replicating file virus with Python3.8
sahaj-b / YouAreAnIdiot FakeVirusA fake virus built using python
lucasod3v / Fake BsodA simple and fake BSOD Virus written in Python and Batch. Only compatible with windows.
h0lyl337 / OSPAV AntivirusOSPAV Stands for Open Source Python Anti-virus. A cross-platform Security solution, made for the people by the people.
rohanprasadofficial / Coronavirus Telegram Bot🤖 Corona Virus Updates Telegram Bot : Python Scraper + Nodejs Server deployed in heruko
sobri3195 / Pegasus Malware Scana comprehensive cybersecurity solution designed for advanced threat detection and malware analysis. Built with Python, this powerful tool employs multi-layered detection techniques to identify and neutralize a wide range of malicious software, from common viruses to sophisticated advanced persistent threats (APTs)
Ansh063 / Email Virus CheckerUsing IMAP (Internet Mail Access Protocol) and Python Created a project (Email Virus Checker). Which triggered as you get a new mail. It will extract all the links and attachments and scan all the links and attachments using VirusTotal Database and give you a report of your mail.
Recon-Engine / LSD SELFBOTThis selfbot is created by ReconEngine aka ZERO & The Harvesters Collective. This bot gets updates every now and again. Bunch of commands for both the good and bad. USE AT YOUR OWN RISK ! ! ! #USEAGE -help : Displays Help Menu Execute commands via -help [command] EXAMPLE [-help general] #MALICIOUS-COMMANDS -malicious : Displays Malicious Menu #LINUX-INSTALL git clone https://github.com/Z-Patience/LSD-SELFBOT.git sudo apt intall aptitude sudo aptitude install python && sudo aptitude install python3 sudo pip3 install dhooks && sudo pip install dhooks && sudo pip3 discord_webhook && sudo pip install discord_webhook && sudo pip3 install wikipedia && sudo pip install wikipedia && sudo pip3 install discord && sudo pip install discord && sudo pip3 install bs4 && sudo pip install bs4 && sudo pip3 install gtts && sudo pip install gtts && sudo pip3 install image && sudo pip install image && sudo pip3 install discord.py && sudo pip install discord.py && sudo pip3 install selenium && sudo pip install selenium && sudo pip3 install requests && sudo pip install requests && sudo pip3 install numby && sudo pip install numby && sudo pip install colorama && sudo pip3 install colorama && sudo pip3 install pyprivnote && sudo pip install pyPrivnote && sudo pip3 install aiohttp && sudo pip install aiohttp && sudo pip install pymongo && sudo pip3 install pymongo && sudo pip3 install dnspython && sudo pip install dnspython #ALTERNATE-INSTALL if you want to make your job easier just run the following command in the LSD folder sudo pip3 install -r requirements.txt && sudo pip install -r requirements.txt #SETUP #1 - Open the [ config.json ] file and put in your token and password in the required areas. #2 - Open selfbot.py in a text editor and change the directory of commands for the selfbot -from line [3201] all the way to line [3269] to your own directory location to the virus files. #2-3 - replace the file locations for the viruses in side the VIRUSES folder. #3 - Install Python 3.9 or Python 3.8.
OgPlexus / HCV ABMOur agent-based model (ABM) of the spread of Hepatitis C within a community of intravenous drug users keeps track of individuals (or agents) in the population, as well as the kind of connections that form between them. These agents and their connections are organized into a network diagram, where nodes represent agents and edges indicate that some kind of relationship exists between two individuals. Hepatitis C is largely spread through the sharing of drug-related equipment such as syringes, where the virus may persist for several hours or even longer than a day. Our model will directly track the number of infected and uninfected pieces of equipment that each individual owns and potentially shares. This will allow for a precise assessment of the benefits of programs that seek to remove infected equipment from a population, either by means of some form of exchange, as in Needle Exchange Programs, or by distributing clean equipment in an effort to bolster the circulation of uninfected equipment. The network attempts to model a community of injection drug users (IDUs) where two individuals have the potential to share their equipment if they are linked by an edge. Each individual is assigned a variety of attributes such as their age, how frequently they use drugs, how frequently they share with others, etc. The network is initialized with a certain set of connections between nodes, but as the simulation progresses some edges may break and new ones may be formed. We start off the simulation with only a certain small percentage of the population infected and, having adjusted the various parameters controling frequency of use and sharing, we can track the population of individuals and needles. In particular, we can determine what effects on the populations of infected individuals and needles are achieved by various adjustments of the parameters. Events in the model such as sharing and use of drugs are drawn randomly in order to approximate the random nature inherent to the dynamics of such systems. In order to make meaningful predictions, we run the simulation several hundred times, with various parameter sets and we can identify which parameters are most significant to the rise and fall of the infection. The model is written in Python, and we implement the NetworkX library to graph and modify the underlying network.
jakkcoder / Python Code Behind COVID 19 CORONA Virus Live DashboardCoronavirus live dashboard I have generated with help of python and dash
opendxl / Opendxl Virustotal Client PythonVirusTotal API client library for use with the OpenDXL Python Client
