m accept value of Accept header (text/html q=0.9,text/plain q=0.8,image/png,*/* q=0.5) f content-type value of Content-type header (application/x-www-form-urlencoded) X-xx: xx for header or &xx=xx for body, where x u URL absolute URL of target ( -x bytes max length of each randomized name/value pair ofįollowup data per tick, e.g. Slow headers and response and to POST for slow body t verb verb to use in request, default to GET for s bytes value of Content-Length header if needed (4096) l seconds target test length in seconds (240) i seconds interval between followup data in seconds (10) c connections target number of connections (50) v level verbosity level 0-4: Fatal, Info, Error, Warning, Debug o file_prefix save statistics output in file.html and file.csv (-g required)
g generate statistics with socket state changes (off) Slowhttptest, a tool to test for slow HTTP DoS vulnerabilities - version 1.8.2
Interval between follow up data: 10 secondsÄenial Of Service attacks simulator slowhttptest -h Use 10 seconds to wait for data ( -i 10), 200 connections ( -r 200) with GET requests ( -t GET) against the target URL ( -u ) with a maximum of length of 24 bytes ( -x 24) and a 3 second time out ( -p 3): slowhttptest -c 1000 -H -g -o slowhttp -i 10 -r 200 -t GET -u -x 24 -p 3 Faster access to data allows for a more agile response, and real-time iterative improvements to the environment during the simulated attack.Use 1000 connections ( -c 1000) with the Slowloris mode ( -H), and generate statistics ( -g> with the output file name (- o slowhttp). Immediate access to data allows customers to correlate data collected by NimbusDDOS with their own environment observations. Real-Time Metrics Visualization: The NimbusDDOS user portal provides real-time data visualization of metrics data collected during a simulated DDoS attack. Both mechanisms are capable of stopping even the largest simulated attack in less than one minute. Emergency Shutdown: The NimbusDDOS attack simulation platform provides both an in-band and out-of-band mechanism to shutdown all simulated DDoS attacks. This consistency provides more accurate data analysis, and eliminates the risk of testing side effects Consistency in Traffic Delivery: The NimbusDDOS attack simulation platform uses an active feedback control system to ensure that traffic is delivered in a consistent manner according to the requirements of the test. Geographic attack distribution is especially important to NimbusDDOS clients that operate in a BGP anycast or multi-datacenter active-active configuration. The public cloud resources leveraged by NimbusDDOS are capable of sourcing attacks from North America, South America, Europe, and APAC. Globally distributed: The resources used by DDoS attackers are globally distributed. NimbusDDOS leverages public cloud resources to provide attack scale to any customer requirement. To properly simulate a massive DDoS attack a scalable platform is required. Infinite Scaling: Modern DDoS attacks have exceeded 500Gbps in attack volume. The NimbusDDOS attack simulation platform is modeled from the same tools used by attackers."
"To gain meaningful data, a simulation must mimic a real attack.