Raven-Storm is a powerful DDoS toolkit for penetration tests, including attacks for several protocols written in python. Takedown many connections using several exotic and classic protocols.
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Updated
Dec 21, 2020 - Python
Raven-Storm is a powerful DDoS toolkit for penetration tests, including attacks for several protocols written in python. Takedown many connections using several exotic and classic protocols.
Yet another one hard-hitting tool to run HTTP stress tests 🌌
🕷some website spider application base on proxy pool (support http & websocket)
Uses docker compose with a python flask microservice and MongoDB instance to make a sample application
hulk is a ddos attacking tool
Cloud Rapid Experimentation and Analysis Toolkit
Kal El Network Stress Test and Penetration Testing Toolkit
Template for stress testing with Python, Locust & Docker
A Pytest plugin that allows you to loop tests for a user defined amount of time.
Fake HTTP log generator module, test if your monitor system can survive under the log spikes.
Fiber Bragg grating (FBG) simulation tool for Finite Element Method (FEM) models. Features inclusion of temperature dependency and emulation within the program. The user can supply a data file and generate simulated reflection spectrums of an array of FBG sensors in response to stress, strain, and temperature.
Cerberus is another simple stressing tool simulating DDoS attacks.
Tool to generate workload on PayShield 10k or 9k for the sake of testing and demonstration.
Stresser API. Used to remotely control a server used to launch DoS/DDoS attacks.
Test suite for Tempesta FW
A Simple DoS tool write in python3.7+ with aiohttp + aiosocks
bloodaxe is the nice way to testing and metrifying api flows.
A set of Python scripts for performing stress-test using DNS amplification attack
DNS query load generator script written in Python3
The code implementation of the paper Stumbling Blocks: Stress Testing the Robustness of Machine-Generated Text Detectors Under Attacks (ACL 2024 main) by Yichen Wang, Shangbin Feng, Abe Bohan Hou, Xiao Pu, Chao Shen, Xiaoming Liu, and Yulia Tsvetkov, and Tianxing He, mainly at Paul G. Allen School of CSE, University of Washington.
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